Scolaris Content Display Scolaris Content Display

Intervenciones para el tratamiento del dolor abdominal en la colitis ulcerosa

Contraer todo Desplegar todo

Antecedentes

La colitis ulcerosa (CU) es una inflamación crónica del colon que se caracteriza por períodos de recaída y remisión. Comienza en el recto y se puede extender por todo el colon. La CU y la enfermedad de Crohn (EC) son las enfermedades inflamatorias intestinales (EII) más comunes. Sin embargo, la CU tiende a ser más común que la EC. No tiene cura conocida, pero se puede controlar con medicación y cirugía. Sin embargo, los estudios han demostrado que el dolor abdominal persiste hasta en un tercio de las personas con CU en remisión. El dolor abdominal podría ser un síntoma de recaída de la enfermedad debido a los efectos adversos de la medicación, las complicaciones quirúrgicas y las estenosis o las adherencias secundarias a la CU.

Objetivos

Evaluar la eficacia y la seguridad de las intervenciones para el tratamiento del dolor abdominal en personas con colitis ulcerosa.

Métodos de búsqueda

El 28 de abril de 2021 se realizaron búsquedas en CENTRAL, MEDLINE y otras cinco bases de datos y registros de ensayos clínicos. Se estableció contacto con los autores de los estudios pertinentes y de los ensayos en curso o no publicados que podrían ser relevantes para la revisión. También se buscó cualquier ensayo adicional en las referencias de los ensayos y las revisiones sistemáticas.

Criterios de selección

Se incluyeron todos los ensayos aleatorizados publicados, no publicados y en curso que compararon intervenciones para el tratamiento del dolor abdominal con otras intervenciones activas o el tratamiento estándar, placebo o ningún tratamiento. Se incluyeron personas con enfermedad activa e inactiva. Se excluyeron los estudios que no informaron sobre desenlaces de dolor abdominal.

Obtención y análisis de los datos

Dos autores de la revisión realizaron de forma independiente la extracción de los datos y las evaluaciones del "riesgo de sesgo". Los datos se analizaron mediante Review Manager 5. Los desenlaces dicotómicos y continuos se expresaron como razones de riesgos (RR) y diferencias de medias (DM), respectivamente, con intervalos de confianza (IC) del 95%. La certeza de la evidencia se evaluó con el método GRADE.

Resultados principales

Se incluyeron cinco estudios (360 participantes asignados al azar). Los estudios consideraron principalmente a participantes en un estado inactivo de la enfermedad.

No fue posible establecer conclusiones acerca de la eficacia de ninguna de las intervenciones sobre la frecuencia del dolor, la intensidad del dolor ni el éxito del tratamiento. La certeza de la evidencia fue muy baja para todas las comparaciones debido a la imprecisión por la escasez de datos y el riesgo de sesgo.

Un estudio comparó una dieta baja en FODMAP (n = 13) con una dieta simulada (n = 13). La evidencia sobre el efecto de este tratamiento en la frecuencia (DM ‐4,00; IC del 95%: ‐20,61 a 12,61) y la intensidad del dolor (DM ‐9,00; IC del 95%: ‐20,07 a 2,07) no está muy clara. No se informó sobre el éxito del tratamiento.

Un estudio comparó el entrenamiento en relajación (n = 20) con una lista de espera (n = 20). No está muy clara la evidencia sobre el efecto de este tratamiento en la frecuencia del dolor al final de la intervención (DM 2,60; IC del 95%: 1,14 a 4,06) ni a los seis meses de seguimiento (DM 3,30; IC del 95%: 1,64 a 4,96). Del mismo modo, no está muy clara la evidencia sobre el efecto de este tratamiento en la intensidad del dolor al final de la intervención (DM ‐1,70; IC del 95%: ‐2,92 a ‐0,48) ni a los seis meses de seguimiento (DM ‐2,30; IC del 95%: ‐3,70 a ‐0,90). No se informó sobre el éxito del tratamiento.

Un estudio comparó el yoga (n = 30) con ninguna intervención (n = 30). El estudio definió el éxito del tratamiento como la presencia o ausencia de dolor; sin embargo, los datos que proporcionaron no estaban claros. No se informó la frecuencia ni la intensidad del dolor.

Un estudio comparó una dieta de kéfir (bacterias Lactobacillus, n = 15) con ninguna intervención (n = 15). No está muy clara la evidencia sobre el efecto de este tratamiento en la intensidad del dolor (DM ‐0,17; IC del 95%: ‐0,91 a 0,57). No se informó la frecuencia del dolor ni el éxito del tratamiento.

Un estudio comparó el tratamiento de bloqueo del ganglio estrellado (n = 90) con el tratamiento con sulfasalazina (n = 30). El estudio definió el éxito del tratamiento como "dolor de estómago"; sin embargo, los datos que proporcionaron no estaban claros. No se informó la frecuencia ni la intensidad del dolor.

Dos estudios informaron retiros debidos a eventos adversos. Un estudio informó que no hubo retiros debidos a eventos adversos. Dos estudios no informaron este desenlace. Debido a lo limitado de la evidencia no se pueden establecer conclusiones sobre los efectos de ninguna de las intervenciones sobre los retiros debidos a eventos adversos.

El informe de los desenlaces secundarios no fue consistente.

Los eventos adversos tendieron a ser muy bajos o nulos. Sin embargo, no se pueden hacer valoraciones claras sobre los eventos adversos de ninguna de las intervenciones, debido al escaso número de eventos.

La ansiedad se midió y se informó al final de la intervención sólo en un estudio (yoga versus ninguna intervención), y la depresión no se midió en ninguno de los estudios. Por lo tanto, no es posible establecer conclusiones significativas sobre estos desenlaces.

Conclusiones de los autores

Se encontró evidencia de certeza muy baja sobre la eficacia y la seguridad de las intervenciones para el tratamiento del dolor abdominal en la colitis ulcerosa. Los problemas generalizados de imprecisión muy importante, derivados del pequeño tamaño muestral y del alto riesgo de sesgo, han dado lugar a desenlaces de muy baja certeza, lo que impide establecer conclusiones.

Aunque se informaron pocos eventos adversos y ningún evento adverso grave, la certeza de estos hallazgos fue nuevamente muy baja para todas las comparaciones, por lo que no se pueden establecer conclusiones.

Es necesario realizar más estudios de investigación. En esta revisión se han identificado ocho estudios en curso, por lo que se justificará una actualización. Es fundamental que los estudios de investigación futuros aborden los problemas que dan lugar a una menor certeza de los desenlaces, específicamente el tamaño muestral y la presentación de informes que provocan un alto riesgo de sesgo. También es importante que, si los investigadores consideran el dolor como un desenlace fundamental, informen claramente si los participantes no presentaban dolor al inicio; en ese caso, sería mejor presentar los datos como subgrupos separados durante toda la investigación.

PICO

Population
Intervention
Comparison
Outcome

El uso y la enseñanza del modelo PICO están muy extendidos en el ámbito de la atención sanitaria basada en la evidencia para formular preguntas y estrategias de búsqueda y para caracterizar estudios o metanálisis clínicos. PICO son las siglas en inglés de cuatro posibles componentes de una pregunta de investigación: paciente, población o problema; intervención; comparación; desenlace (outcome).

Para saber más sobre el uso del modelo PICO, puede consultar el Manual Cochrane.

Tratamientos para el control del dolor en la colitis ulcerosa

¿Cuál es el objetivo de esta revisión?

El objetivo de esta revisión Cochrane fue averiguar si los tratamientos para las personas con colitis ulcerosa (CU) pueden mejorar el dolor.

Se analizaron los datos de cinco estudios para responder esta pregunta.

Mensajes clave

No es posible establecer conclusiones sobre ninguno de estos tratamientos para el control del dolor en la CU debido a la certeza muy baja de la evidencia.

No está claro si alguno de los otros tratamientos considerados son mejores que los demás; sin embargo, hay evidencia limitada debido al escaso número de estudios y los problemas provocados por la baja calidad de los informes de los estudios de investigación.

¿Qué se estudió en la revisión?

Las personas con colitis ulcerosa suelen tener dolor, tanto si la enfermedad está activa como inactiva.

Se han intentado varios tipos de tratamientos para reducir el dolor en la colitis ulcerosa, como dietas, terapias psicológicas, medicamentos, terapias de ejercicio y terapias cerebrales.

Actualmente no hay acuerdo entre los médicos sobre qué tratamiento es mejor.

¿Cuáles son los resultados principales de la revisión?

Se buscaron los ensayos controlados aleatorizados (ECA; estudios clínicos en los que las personas se asignan al azar a uno de dos o más grupos de tratamiento) que compararan cualquier tratamiento con otro o con un tratamiento simulado/placebo. Se encontraron cinco ECA con 360 participantes.

1) Los autores informaron una mejoría en el dolor con un entrenamiento de relajación en comparación con ningún entrenamiento de relajación, pero no es posible establecer conclusiones sobre si este es realmente el caso debido a la certeza muy baja de la evidencia.

2) No está claro si existe alguna diferencia entre cualquiera de los otros tratamientos estudiados para el control del dolor.

3) No está claro si un tratamiento supone una diferencia en los episodios adversos (leves o graves) en comparación con cualquier otro tratamiento.

Conclusión

Se cuenta con evidencia de certeza muy baja de todas las intervenciones estudiadas en esta revisión sobre si alguna de ellas puede mejorar el dolor en las personas con colitis ulcerosa. No se tiene confianza en que estos métodos puedan mejorar realmente el dolor en la colitis ulcerosa.

No es posible establecer conclusiones debido a la falta de evidencia y a los problemas de calidad de los estudios encontrados. Se necesitan más estudios de investigación que aborden los problemas con la certeza que se destacan en esta revisión.

¿Cuál es el grado de actualización de esta revisión?

Esta revisión está actualizada hasta abril de 2021.

Authors' conclusions

Implications for practice

This review found very limited evidence that relaxation training might lead to improvement in pain intensity and pain frequency compared to a wait‐list, and that yoga might reduce state anxiety compared to no intervention. However these results are of very low certainty due to imprecision and risk of bias, and we can draw no conclusions about their efficacy.

We found there may be no difference between any of the other treatments in improving pain for people with UC, but we are unable to draw further conclusions as these were very low‐certainty results due to low numbers of studies and participants in each comparison area and to clinical heterogeneity within the studies.

Whilst very few adverse events were reported with any of the treatments studied, the certainty of these findings was very low for all comparisons, so we can draw no conclusions.

Even though there was evidence that yoga might reduce state anxiety compared to no intervention, the certainty of this result is very low due to imprecision and risk of bias, so we can draw no conclusions about the effect of yoga on anxiety in UC.

Depression was not reported in any of the studies and once again we can draw no conclusions about the impact of the included interventions on depression.

Implications for research

Given that abdominal pain is a significant problem for a subset of people with UC, there are a number of randomised controlled trials that target it as an independent condition and not as part of inducing or maintaining remission. The need for future research is clear. Many of the interventions studied within this review are anecdotally used by patients and are available without clinician involvement, so clear evidence is vital to inform patients when making these decisions.

Considering the current ongoing trials identified in this review, it seems they are still very heterogeneous in the range of therapies, diverse outcome measures and relatively low sample sizes planned, which will limit the impact that these can have on the evidence base.

We would therefore suggest that key stakeholders, including clinicians, those with understanding of health economics and most importantly patients, should consider which interventions are of interest. They are particularly well‐placed to consider feasibility, acceptability and tolerability amongst other factors in targeting future research.

Furthermore, the evidence base would be strengthened if researchers address risk of bias in their reporting and also consider reporting data by disease type or severity, or both. It would also be helpful if studies looking at IBD patients as a whole, report separate results for the IBD conditions included in their studies.

The issue of sample size must be highlighted. All studies included in this review were very small. Authors could consider the use of indicative odds ratios from this review when performing power calculations. Such accurate calculations are vital to halt the large number of low‐powered studies and increase the precision of findings.

Another issue is the possibility that pain in UC is not directly caused by the condition, but might be pain associated with IBS, which is more prominent in IBD patients than in the general population. This is something that needs to be clarified further in order to understand which interventions should be targeted for research in the future.

Summary of findings

Open in table viewer
Summary of findings 1. Low FODMAPs diet compared to sham diet for the management of abdominal pain in ulcerative colitis

Low FODMAPs diet compared to sham diet for the management of abdominal pain in ulcerative colitis

Patient or population: UC patients
Setting: multicentre, 2 gastroenterology clinics in the UK
Intervention: Low FODMAPs diet
Comparison: Sham diet

Outcomes

Anticipated absolute effects* (95% CI)

Relative effect
(95% CI)

№ of participants
(studies)

Certainty of the evidence
(GRADE)

Comments

Risk with sham diet

Risk with Low FODMAPs diet

Treatment success as defined by the authors

Not measured

Pain frequency (measured in days of pain on the IBS‐SSS questionnaire)

MD 4.00 lower
(20.61 lower to 12.61 higher)

26
(1 study)

⊕⊝⊝⊝
very lowa,b

Pain intensity (0‐10cm visual analogue scale)

MD 9.00 lower
(20.07 lower to 2.07 higher)

26
(1 study)

 

⊕⊝⊝⊝
very lowa,b

Withdrawal due to adverse events

Study population

RR 1.85

(0.18 to 19.19

52
(1 study)

 

⊕⊝⊝⊝
very lowa,b

4 per 1000

0 per 1000
(1 to 77)

*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).

CI: Confidence interval; RR: Risk ratio; MD: mean difference

GRADE Working Group grades of evidence
High certainty: We are very confident that the true effect lies close to that of the estimate of the effect
Moderate certainty: We are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different
Low certainty: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect
Very low certainty: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect

aDowngraded by one level due to high risk of bias.
bDowngraded by two levels due to imprecision from very sparse data.

Open in table viewer
Summary of findings 2. Relaxation training compared to wait‐list for the management of abdominal pain in ulcerative colitis

Relaxation training compared to wait‐list for the management of abdominal pain in ulcerative colitis

Patient or population: UC patients
Setting: not reported, USA
Intervention: Relaxation training
Comparison: Wait‐list

Outcomes

Anticipated absolute effects* (95% CI)

Relative effect
(95% CI)

№ of participants
(studies)

Certainty of the evidence
(GRADE)

Comments

Risk with wait‐list

Risk with relaxation training

Treatment success as defined by the authors

Not measured

Pain frequency (end of intervention, hours between pain episodes)

MD 2.6 higher
(1.14 higher to 4.06 higher)

40
(1 study)

⊕⊝⊝⊝
very lowa,b

Pain frequency (6 weeks after end of intervention, hours between pain episodes)

MD 3.3 higher
(1.64 higher to 4.96 higher)

40
(1 study)

⊕⊝⊝⊝
very lowa,b

Pain intensity (end of intervention, unidentified 0‐10 scale)

MD 1.7 lower
(2.92 lower to 0.48 lower)

40
(1 study)

⊕⊝⊝⊝
very lowa,b

Pain intensity (6 weeks after end of intervention, unidentified 0‐10 scale)

MD 2.3 lower
(3.7 lower to 0.9 lower)

40
(1 study)

⊕⊝⊝⊝
very lowa,b

Withdrawals due to adverse events

Not measured

*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).

CI: Confidence interval; RR: Risk ratio; MD: mean difference

GRADE Working Group grades of evidence
High certainty: We are very confident that the true effect lies close to that of the estimate of the effect
Moderate certainty: We are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different
Low certainty: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect
Very low certainty: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect

aDowngraded by one level due to high risk of bias.
bDowngraded by two levels due to imprecision from very sparse data.

Open in table viewer
Summary of findings 3. Yoga intervention compared to no intervention for the management of abdominal pain in ulcerative colitis

Yoga intervention plus standard medical therapy compared to standard medical therapy for the management of abdominal pain in ulcerative colitis

Patient or population: UC patients
Setting: New Delhi, India, Single‐centre, All India Institute of Medical Science (AIIMS)
Intervention: Yoga intervention plus standard medical therapy
Comparison: Standard medical therapy

Outcomes

Anticipated absolute effects* (95% CI)

Relative effect
(95% CI)

№ of participants
(studies)

Certainty of the evidence
(GRADE)

Comments

Risk with standard medical therapy

Risk with yoga intervention plus standard medical therapy

Treatment success as defined by the authors

Not measured

Pain frequency

Not measured

Pain intensity

Not measured

Withdrawal due to adverse events

Study population

RR 0.50 (0.05 to 5.22)

60
(1 study)

⊕⊝⊝⊝
very lowa,b

67 per 1000

34 per 1000
(3 to 350)

State anxiety (20‐item State Anxiety Inventory, results range between 20 and 80)

MD 6.2 lower
(10.57 lower to 1.83 lower)

60
(1 study)

⊕⊝⊝⊝
very lowa,b

Trait anxiety (20‐item Trait Anxiety Inventory, results range between 20 and 80)

MD 1.02 lower
(5.25 lower to 3.21 higher)

60
(1 study)

⊕⊝⊝⊝
very lowa,b

*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).

CI: Confidence interval; RR: Risk ratio; MD: mean difference

GRADE Working Group grades of evidence
High certainty: We are very confident that the true effect lies close to that of the estimate of the effect
Moderate certainty: We are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different
Low certainty: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect
Very low certainty: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect

aDowngraded by one level due to high risk of bias.
bDowngraded by two levels due to imprecision from very sparse data.

Open in table viewer
Summary of findings 4. Kefir compared to no intervention for the management of abdominal pain in ulcerative colitis

Kefir compared to no intervention for the management of abdominal pain in ulcerative colitis

Patient or population: UC patients
Setting: not reported, single‐centre, Turkey
Intervention: Kefir
Comparison: no intervention

Outcomes

Anticipated absolute effects* (95% CI)

Relative effect
(95% CI)

№ of participants
(studies)

Certainty of the evidence
(GRADE)

Comments

Risk with no intervention

Risk with kefir

Treatment success as defined by the authors

Not measured

Pain frequency

 

Not measured

Pain intensity (measure on a 0‐3 four‐point scale)

MD 0.17 lower
(0.91 lower to 0.57 higher)

25
(1 study)

⊕⊝⊝⊝
very lowa,b

Withdrawals due to adverse events

Study population

not estimable

20
(1 study)

0 per 1000

0 per 1000
(0 to 0)

*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).

CI: Confidence interval; RR: Risk ratio; MD: mean difference

GRADE Working Group grades of evidence
High certainty: We are very confident that the true effect lies close to that of the estimate of the effect
Moderate certainty: We are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different
Low certainty: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect
Very low certainty: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect

aDowngraded by one level due to high risk of bias.
bDowngraded by two levels due to imprecision from very sparse data.

Open in table viewer
Summary of findings 5. Stellate ganglion block compared to sulphasalazine for the management of abdominal pain in ulcerative colitis

Stellate ganglion block compared to sulphasalazine for the management of abdominal pain in ulcerative colitis

Patient or population: UC patients
Setting: Cangzhou Central Hospital, China
Intervention: Stellate ganglion block 
Comparison: Sulphasalazine

Outcomes 

Anticipated absolute effects* (95% CI)

Relative effect
(95% CI)

№ of participants
(studies)

Certainty of the evidence
(GRADE)

Comments

Risk with sulphasalazine

Risk with stellage ganglion block

Treatment success as defined by the authors

Not measured

Pain frequency

Not measured

Pain intensity (measure on a 0‐3 four‐point scale)

Not measured

Withdrawals due to adverse events

Not measured

*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).

CI: Confidence interval; RR: Risk ratio; MD: mean difference

GRADE Working Group grades of evidence
High certainty: We are very confident that the true effect lies close to that of the estimate of the effect
Moderate certainty: We are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different
Low certainty: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect
Very low certainty: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect

Background

Description of the condition

Ulcerative colitis (UC) is a chronic inflammation of the colon characterised by periods of relapse and remission (Ordas 2012). It starts in the rectum and can extend throughout the colon. UC and Crohn’s disease (CD, which can affect the entirety of the gastrointestinal tract) are the two most common inflammatory bowel diseases (IBDs). However, UC tends to be more common than CD, with an estimated prevalence of 90 to 505 cases per 100,000 people in North America and northern Europe (Conrad 2014). Whilst prevalence has been historically higher in Western countries, its incidence in industrialised parts of Asia and Latin America is on the rise. The cause of UC is not known, but is believed to be associated with certain genetic and environmental factors. There is a higher risk in Ashkenazi Jews, people with a family history of the disease, and those who live in Western countries (Da Silva 2014).

Some of the symptoms of active UC include abdominal pain, bloody stools and diarrhoea. These symptoms can be managed using medical interventions such as 5‐aminosalicylates, oral corticosteroids, azathioprine or mecarptopurine (Iheozor‐Ejiofor 2019Iskandar 2015) and by surgery in around 20% to 30% of sufferers who do not successfully attain remission with drugs (Ordas 2012). However, studies have shown that abdominal pain persists in up to one‐third of people with UC in remission (Coates 2013). This has been attributed to the coexistence of functional bowel disorders such as irritable bowel syndrome (IBS). It is postulated that as the symptoms of IBS and IBD share common underlying psychological (for example, anxiety and depression) and clinical factors (for example, colonic inflammation), an overlap of these factors may trigger a variety of events which result in persistent pain in sufferers (Deberry 2014).

Description of the intervention

Pharmacological interventions

IBD medication can reduce inflammation and associated pain by inducing remission. Where pain persists in the absence of inflammation, it can be managed with pain‐relieving medication such as antispasmodics, analgesics such as paracetamol, non‐steroidal anti‐inflammatory drugs (NSAIDs), cyclo‐oxygenate‐2 inhibitors (COX‐2) and narcotics (Srinath 2012). Short‐term use is advised due to the potential adverse effects of some of these drugs.

Antispasmodics are a heterogeneous group of drugs which can relax intestinal muscles. Hyoscyamine and dicycloamine are the most common antispasmodics that are used in IBD. NSAIDs are a group of non‐chemically‐related compounds which have analgesic effects. They reduce inflammation by inhibiting the production of prostaglandins (Cavkaytar 2019). Examples include ibuprofen, sulphasalazine and indomethacin. Some of these are available as over‐the counter drugs. Narcotics are psychoactive compounds with sleep‐inducing properties such as opiates and opioids, morphine, codeine, etc. Even though narcotics have historically been viewed in a negative light, observational studies indicate that they are commonly used not only for adults but also in children with IBD (Buckley 2013; Buckley 2015). Finally, neuromodulators, such as gabapentin and tricyclic antidepressants, have been used in functional abdominal pain syndromes and as such for abdominal pain in inflammatory bowel disease (Mikocka‐Walus 2020), even though a recent Cochrane Review found no RCTs related to adjuvant treatment with antidepressants for UC (Mikocka‐Walus 2019).

Non‐pharmacological interventions

Non‐pharmacological interventions used in managing abdominal pain may include psychological interventions, lifestyle advice, dietary interventions and alternative medicine. These interventions are generally considered less invasive and may be used as adjuvant treatment.

Psychological therapies are based on theories of human behaviour. Cognitive behavioural therapy, stress management, and coping skills training are the most common psychological interventions used. These are an interesting set of therapies, as the specific interventions delivered can be very heterogeneous; it is therefore key to consider the specific evidence and conceptual alignment of the approach delivered to understand 'what' the therapy was, as well as 'whether' it is effective.

Dietary factors include alcohol elimination and the use of supplements with prebiotic properties. Dietary factors have been considered, with some evidence of impact (Norton 2017). There is also interest in the use of probiotics for functional abdominal pain syndromes, given their impact on the gut microbiome and the reduction in inflammatory processes they may produce (Iheozor‐Ejiofor 2019).

Alternative medicine such as acupuncture and transcutaneous electrical nerve stimulation (TENS), which have been used with other conditions such as IBS, are more frequently being used in people with IBD, albeit with limited evidence (Srinath 2012). Acupuncture is a complementary therapy which is generally used for pain unresponsive to standard therapy (Wilkinson 2007). There are various techniques used in acupuncture, such as basic needling, laser acupuncture, and electro‐acupuncture.

How the intervention might work

The cause of the abdominal pain could require a targeted approach.

Pharmacological interventions

Antispasmodics often have mixed mechanisms of action, but generally they tend to suppress intestinal spasms resulting from inflammation or obstruction (Srinath 2012). Pharmacological interventions may have associated adverse effects. For example, it is widely thought that NSAIDs may increase the risk of disease flare‐up or exacerbation in people with IBD (Klein 2010), but the data that support this contention are sparse. In addition to offering short‐term relief, there seem to be concerns among IBD sufferers about the stigma of addiction associated with the use of opioids. The use of psychoactive drugs can also lead to heavy dependence on them and a higher risk of mortality (Coates 2013). In people with IBD, tapering off narcotics could trigger withdrawal symptoms which mimic IBD symptoms (Pauly 2017), thus complicating further treatment. Long‐term use for IBD pain relief is therefore not recommended.

Non‐pharmacological interventions

Pain resulting from strictures can be eliminated by the introduction of foods which can pass through with ease, thereby preventing intestinal pain (Srinath 2012). It has been postulated that recurrent pain tends to lead to coping behaviours which worsen the experience of pain. Psychological techniques such as cognitive behavioural therapy work by targeting and stopping these negative coping mechanisms that affect how people deal with pain (Norton 2017). The mechanism of action of alternative and complementary therapies in itself is highly complex, but they are commonly used in wider society and in turn are used by sufferers of UC.

Why it is important to do this review

Abdominal pain is a major driver for the use of healthcare facilities in IBD sufferers. It is the main reason for seeking medical attention for about 70% of people with IBD. This puts a financial strain on healthcare systems amounting to billions of pounds every year (Ghosh 2015). For the patient, it can lead to psychological problems, loss of earnings and a general decline in quality of life. Effective pain management is therefore vital. Pain management has been highlighted as a priority topic for research by IBD patient groups and charities, but is currently not covered in the National Institute for Health and Care Excellence (NICE) or European Crohn's and Colitis Organisation (ECCO) guidelines (ECCO 2010; NICE 2019). Whilst several non‐Cochrane systematic reviews have assessed interventions for pain management in IBD, there is currently none which has assessed the efficacy and safety of these interventions specifically in UC. Even though this review covers interventions that have already been assessed in previously‐published Cochrane Reviews (Iheozor‐Ejiofor 2019; Kafil 2018; Limetkai 2019; Timmer 2011), our focus is solely on studies that have been conducted to provide relief for abdominal pain.

Objectives

To assess the efficacy and safety of interventions for managing abdominal pain in people with ulcerative colitis.

Methods

Criteria for considering studies for this review

Types of studies

All published, unpublished and ongoing randomised trials that compare interventions for the management of abdominal pain versus other active interventions or standard therapy, placebo or no therapy. We excluded studies that do not report on any abdominal pain outcomes.

We did not consider induction or maintenance studies for UC that impact abdominal pain as a proxy of disease state. Similarly, we did not consider studies addressing other pain in IBD, such as pain associated with extra‐abdominal manifestations.

Studies of people with UC as part of an IBD cohort including CD patients that did not provide separate data for their UC participants are not included in this review. However, they are included in our companion review on Interventions for the management of abdominal pain in Crohn's Disease.

Types of participants

People with UC who are experiencing abdominal pain.

Types of interventions

  • Pharmacological treatments (e.g. antispasmodics, antidepressants, laxatives, antidiarrhoeal agents, antibiotics, analgesics, anti‐reflux agents, anti‐emetic agents, antimigraine agents, antihistaminic agents, serotonergic agents and psychoactive drugs)

  • Behaviour therapy (e.g. cognitive behavioural therapy (CBT), hypnotherapy)

  • Lifestyle advice (e.g. advice on physical activity including exercise)

  • Dietary interventions (e.g. FODMAP, additional fibre intake, decrease in gas‐producing foods, extra fluid intake, lactulose‐ / gluten‐ / histamine‐free diet)

  • Prebiotics and probiotics

  • Alternative treatments (e.g. acupuncture, homeopathy, body‐oriented therapy, musculoskeletal therapy (osteopathy/ chiropractic), yoga)

Types of outcome measures

We considered both dichotomous and continuous outcomes for inclusion.

Primary outcomes

  • Treatment success as defined by the authors

  • Abdominal pain frequency or change in frequency of pain

  • Abdominal pain intensity or change in pain intensity using any validated scale

  • Withdrawal due adverse events

Secondary outcomes

  • Anxiety/depression

  • Adverse events

  • Serious adverse events

Search methods for identification of studies

Electronic searches

We searched the following sources from the inception of each database to the date of search. We placed no restrictions on the language of publication:

  • Cochrane Central Register of Controlled Trials (CENTRAL) via the Cochrane Register of Studies Online (CRSO);

  • MEDLINE (Ovid MEDLINE ALL from 1946);

  • PsycINFO via Ovid;

  • Cumulative Index to Nursing and Allied Health Literature (CINAHL) via EBSCO;

  • Allied and Complementary Medicine database (AMED) via Ovid;

  • ClinicalTrials.gov (www.clinicaltrials.gov)

  • World Health Organisation International Clinical Trials Registry Platform (ICTRP) (www.who.int/trialsearch/)

For detailed search strategies, see Appendix 1.

Searching other resources

As complementary search methods, we checked relevant systematic reviews for studies for potential inclusion in our review. We also scrutinised the references of included studies in our review. We sought unpublished trials by contacting experts in the field and we scanned the Internet and abstracts submitted to major international congresses from the three years prior to the search, to capture any studies presented but not yet published in full.

We attempted to obtain translations of papers when necessary.

Data collection and analysis

We carried out data collection and analysis according to the methods recommended in the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2021).

Selection of studies

Two review authors independently screened the titles and abstracts identified from the literature search. We discarded studies which did not meet the inclusion criteria. We obtained the full report of studies which appeared to meet our inclusion criteria or for which there was insufficient information to make a final decision. Two review authors then independently assessed them to establish whether the studies met the inclusion criteria. We resolved disagreements by discussion, with a third review author consulted if resolution was not possible. We entered studies rejected at this or subsequent stages in the Characteristics of excluded studies tables, and recorded the main reason for exclusion.

Data extraction and management

Two review authors carried out data extraction independently, using piloted data extraction forms. We extracted relevant data from full‐text articles that met the inclusion criteria. If reported, we collected information on:

  • Trial setting: country and number of trial centres

  • Methods: study design, total study duration and date

  • Participant characteristics: age, socio‐demographics, ethnicity, diagnostic criteria and total number

  • Eligibility criteria: inclusion and exclusion criteria

  • Intervention and comparator

  • Outcomes: outcome definition, unit of measurement and time of collection

  • Results: number of participants allocated to each group, missing participants, sample size

  • Funding source

Assessment of risk of bias in included studies

During data extraction, two review authors independently assessed all studies meeting the inclusion criteria for their risks of bias, using criteria outlined in the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2021). The domains assessed are as follows:

  • Sequence generation (selection bias);

  • Allocation concealment (selection bias);

  • Blinding of participants and personnel (performance bias);

  • Blinding of outcome assessment (detection bias);

  • Incomplete outcome data (attrition bias);

  • Selective reporting (reporting bias);

  • Other potential bias.

We judged the studies to be at either low, high or unclear risk of bias for each domain assessed, based on the guidance in Higgins 2021.

After data extraction, the two review authors compared the extracted data to discuss and resolve discrepancies before the data were transferred into the Characteristics of included studies table.

Measures of treatment effect

For the dichotomous outcomes, we expressed treatment effect as risk ratios (RRs) with corresponding 95% confidence intervals (CIs). For continuous outcomes, we expressed the treatment effect as mean differences (MDs) with 95% CIs.

Unit of analysis issues

The participant was the unit of analysis. Cross‐over studies would only be included if data were separately reported before and after cross‐over, and only data from the first phase would be used. We did not anticipate any cluster‐RCTs, but study data would only be used if the authors had used appropriate statistical methods in taking clustering effect into account.

Dealing with missing data

We contacted authors where there were missing data or studies had not reported data in sufficient detail. If there were missing standard deviations, we estimated them using relevant statistical tools and calculators if studies reported standard errors. We judged studies which failed to report measures of variance as being at high risk of selective reporting bias.

Assessment of heterogeneity

We planned to scrutinise studies to ensure that they were clinically homogeneous in terms of participants, intervention, comparator and outcome. Inconsistency was quantified and represented by the I2 statistic. The thresholds are interpreted as follows (Higgins 2021):

0% to 40%: might not be important;

30% to 60%: may represent moderate heterogeneity;

50% to 90%; may represent substantial heterogeneity;

75% to 100%: considerable heterogeneity.

Assessment of reporting biases

Most reporting biases were minimised by using an inclusive search strategy. We aimed to investigate publication bias using a funnel plot only if there were 10 or more studies, but this was not the case.

Data synthesis

To summarise the study characteristics, we conducted a narrative synthesis of all the included studies.

We used Review Manager 5 (RevMan 2020). Study data were synthesised using the random‐effects model. We combined effect estimates of studies which reported data in a similar way in the meta‐analysis. We pooled RRs for dichotomous outcomes and MDs for continuous outcomes alongside 95% confidence intervals. Where we were unable to carry out a meta‐analysis (e.g. due to lack of uniformity in data reporting), we presented a narrative summary of the included studies.

We had planned to carry out a meta‐analysis if there were two or more studies that have assessed similar populations, interventions and outcomes. Studies from paediatric population, adult population and different sub‐intervention types would be analysed separately. However, the data from our included studies were insufficient to do this.

Subgroup analysis and investigation of heterogeneity

If we detected heterogeneity, we had planned to investigate possible causes and address them using methods described in Higgins 2021. We would also undertake subgroup analyses of potential effect modifiers if there were sufficient data. We had identified several potential modifiers of effect:

  • Disease activity (active versus inactive disease)

  • Pain location

  • Disease location

However, the data we obtained were not sufficient to do this.

Sensitivity analysis

We had planned to undertake a sensitivity analysis on the primary outcome of 'treatment success', to assess whether the findings of the review were robust to the decisions made during the review process. However, the data we had were not sufficient for this.

Summary of findings and assessment of the certainty of the evidence

We have presented the main results in a 'Summary of findings' table. Each comparison and primary outcome was exported to GRADEprofiler software (developed by the GRADE working group) for quality assessment (GRADE 2015). We applied GRADE to all comparisons and presented these in additional tables. Based on risk of bias, inconsistency, imprecision, indirectness and publication bias, we rated the quality of the evidence for each outcome as high, moderate, low or very low. These ratings have been defined as follows:

  • High: further research is very unlikely to change our confidence in the estimate of effect

  • Moderate: further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate

  • Low: further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate

  • Very low: any estimate of effect is very uncertain

We justified all decisions to downgrade the quality of studies using footnotes and we made comments to aid reader's understanding of the review where necessary.

Results

Description of studies

Below we present a description of the studies.

Results of the search

We completed the literature search on the 28 April March 2021 (Appendix 1), identifying a total of 2969 records through database searching. We found 17 additional records from alternative sources. After removal of duplicates 2576 unique records remained. Examination of the titles and abstracts found 67 records for full‐text screening. After assessing all 68 records, we identified six records of five studies that met the inclusion criteria and included them in the review. There were also eight records of eight ongoing studies and 16 records of 13 studies awaiting classification. We excluded 37 records of 32 studies for various reasons. We present the results of the search in the PRISMA flow diagram (Figure 1).


Study flow diagram.

Study flow diagram.

Included studies

Setting

We found five RCTs which met our inclusion criteria (360 participants). One was conducted in China (Zhao 2017), one in the UK (Cox 2020), one in the USA (Shaw 1987), one in Turkey (Yilmaz 2019) and one in India (Sharma 2015). All the studies were conducted in hospitals, medical centres or gastroenterology units except for Sharma 2015, which was conducted in an institute of medical science. Two studies (Shaw 1987; Yilmaz 2019) did not provide any information about their setting. Three of the studies were single‐centre (Sharma 2015; Yilmaz 2019; Zhao 2017) and one was multi‐centre (Cox 2020). One study did not provide this information (Shaw 1987).

Participants

All studies reported mean age (SD) except for one study that reported mean and range of ages (Yilmaz 2019) and one study that only mentioned their accepted age range for participants (Sharma 2015). Average age ranged from 30.4 (Shaw 1987) to 47.6 (Zhao 2017). One study did not mention age in their inclusion/exclusion criteria (Zhao 2017).

Two studies examined exclusively UC populations (Shaw 1987; Zhao 2017), while the rest of the studies examined a mix of people with CD and UC (Cox 2020; Sharma 2015; Yilmaz 2019). Cox 2020 and Yilmaz 2019 had reported separate CD and UC results, while for Yilmaz 2019 we contacted the authors to ask for separate outcome results for their CD and UC participants.

Two studies examined participants in an inactive stage of the disease (Cox 2020; Sharma 2015) and one study participants from inactive to moderate stages of the disease (Yilmaz 2019). Two studies did not report on the activity of the disease (Shaw 1987; Zhao 2017).

Disease duration was reported in three studies (Cox 2020; Yilmaz 2019; Zhao 2017). All three presented disease duration in mean (SD) except for Cox 2020, who only provided the mean and Yilmaz 2019 who provided the mean and range. Average disease duration ranged from three years (Yilmaz 2019) to nine years (Cox 2020).

Interventions

The interventions assessed in the trials were as follows:

  • Low FODMAPs diet versus sham diet (Cox 2020);

  • Relaxation training versus wait list (Shaw 1987);

  • Yoga intervention versus no intervention (Sharma 2015);

  • Kefir diet (Kefir is a drink preparation containing Lactobacillus bacteria) versus no intervention (Yilmaz 2019);

  • Stellate ganglion block versus sulphasalazine (Zhao 2017).

Primary outcomes:

The length of the interventions ranged from 30 days (Zhao 2017) to eight weeks (Sharma 2015).

The following outcomes were reported:

  • Treatment success as defined by the authors. Only one study (Sharma 2015) which measured pain as a dichotomous outcome (presence or absence of pain) clearly defined their success criteria. Zhao 2017 also measured pain as a dichotomous outcome but in an unidentified manner and they only provided result values for "stomachache" without explanation;

  • The remaining studies did not explicitly mention treatment success, with authors reporting pain as a continuous outcome and not reporting numbers of responders for their interventions against any definition;

  • Abdominal pain frequency or change in frequency of pain. Pain frequency was measured in two studies. Cox 2020 measured pain frequency in days using the IBS‐SSS 0 ‐ 100 scoring scale, and in days where pain was reported as moderate or severe in GSRS. Shaw 1987 measured pain frequency in hours between episodes with an unidentified questionnaire;

  • Abdominal pain intensity or change in pain intensity using any validated scale. Pain intensity was measured as a continuous outcome in three studies. Yilmaz 2019 used a symptoms diary where participants rated their pain on a scale of 0 ‐ 3 where 0 = none, 1 = mild, 2 = moderate, and 3 = severe; and Cox 2020 used the IBS‐SSS 0 ‐ 100 scale and the GSRS scale which measures severity of pain on a scale 0 ‐ 3. Shaw 1987 used an unidentified 0 ‐ 10 scale where a higher score indicates more severe pain.

  • Withdrawal due to adverse events. This was reported or could be extracted based on the text in three studies (Cox 2020; Sharma 2015; Yilmaz 2019).

A summary of the interventions and primary pain outcomes can be found in Table 1.

Open in table viewer
Table 1. Primary outcome details

Comparison

Study ID

Disease type

Disease activity

Length of intervention

Measurement of pain

Number of randomised participants

Low FODMAPs diet vs. sham diet

Cox 2020

IBD

inactive

4 weeks

Pain frequency and intensity:

IBS‐SSS for pain rating scale 0 ‐ 100,

GSRS rating scale 0‐3

52

(IG:27; CG: 25)

Yoga intervention vs. no intervention

Sharma 2015

UC/IBD

inactive

8 weeks

presence or absence of pain

100

(IG:50; CG: 50)

Relaxation training vs. wait‐list

Shaw 1987

UC

unclear

6 weeks

Pain frequency:

Hours between pain episodes

Pain intensity:

Scale 0 ‐ 10

40

(IG:20; CG: 20)

Kefir diet (Lactobacillus bacteria) vs. no intervention

Yilmaz 2019

IBD

inactive to moderate

4 weeks

Pain intensity:

rating scale 0 ‐ 3

48

(IG:28; CG: 20)

Stellate ganglion block vs. sulfasalazine

Zhao 2017

UC

unclear

30 days

"Stomachache" (result values provided without explanation)

120

(IG:90; CG: 30)

IBD: irritable bowel disease; UC: ulcerative colitis

Secondary outcomes:

  • Anxiety/depression. Sharma 2015 used the Spielberger’s State‐Trait Anxiety Inventory to measure anxiety. The other studies did not measure this outcome. Shaw 1987 measured psychological distress due to pain via the Pain and Distress Scale but did not measure anxiety or depression.

  • Adverse events (total number of participants with any event). Total number of participants reporting adverse events was reported in two studies (Cox 2020; Sharma 2015).

  • Serious adverse events (as defined by good clinical practice reporting within the primary study). The same studies that reported numbers of participants with adverse events also reported numbers of participants with serious adverse events (Cox 2020; Sharma 2015).

Excluded studies

We excluded 33 studies for various reasons. The reasons for exclusion of each study are presented in the excluded studies table and are summarised below.

Risk of bias in included studies

Below we present the results of our ‘Risk of bias’ assessment (Figure 2; Figure 3). Further details can be found in the ‘Risk of bias’ tables (beneath Characteristics of included studies tables).


Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.


Risk of bias summary: review authors' judgements about each risk of bias item for each included study.

Risk of bias summary: review authors' judgements about each risk of bias item for each included study.

Allocation

Randomisation was described clearly in three of the five studies (Cox 2020; Sharma 2015; Yilmaz 2019), which we rated low for risk of bias, and was not sufficiently described in two studies (Shaw 1987; Zhao 2017) which we rated unclear for risk of bias.

We rated two studies at low risk of selection bias (Cox 2020; Sharma 2015), as the method of random allocation of participants to intervention and control groups and allocation concealment was described and we judged it to be adequate. We rated the other three studies at unclear risk of selection bias and allocation concealment (Shaw 1987; Yilmaz 2019; Zhao 2017), as they did not provide enough information (or none at all) about their selection and allocation concealment process.

Blinding

All studies were rated as high in performance bias, as the interventions they studied could not be blinded for both participants and personnel or they were open‐label studies. However, Cox 2020 used a sham diet to keep their participants blind to the intervention, which is not typical in diet RCTs due to the difficulties entailed.

Detection bias was rated as low in one study (Yilmaz 2019) which provided details about it, and unclear in the other studies, as they did not provide enough information for a judgement (Cox 2020; Sharma 2015; Shaw 1987; Zhao 2017).

Incomplete outcome data

Attrition bias was judged as low in four studies that provided enough information for judgement (Cox 2020; Sharma 2015; Shaw 1987; Yilmaz 2019). Zhao 2017 was rated as unclear.

Selective reporting

Reporting bias was rated as low in four studies that reported all outcomes they had set out to report (Cox 2020; Shaw 1987; Yilmaz 2019; Zhao 2017). Sharma 2015 lacked enough information in their report to judge whether they had reported all outcomes, and was rated as unclear.

Other potential sources of bias

We rated four studies as low in other potential sources of bias (Cox 2020; Shaw 1987; Sharma 2015; Yilmaz 2019). We rated Zhao 2017 as having high potential for other sources of bias because of significant differences in their participants' baseline characteristics that were highly likely to affect the results (Zhao 2017).

Funding source and conflict of interest

Three studies reported their sources of funding (Cox 2020; Sharma 2015; Yilmaz 2019). Sharma 2015 was funded via a government grant, Cox 2020 was funded by private foundations, and Yilmaz 2019 reported that they received no funding.

Four studies made declarations on conflicts of interest (Cox 2020; Sharma 2015; Yilmaz 2019; Zhao 2017). Three declared no conflicts of interest (Sharma 2015; Yilmaz 2019; Zhao 2017) and Cox 2020 declared industry connections and ownership of an invention connected to their intervention.

Effects of interventions

See: Summary of findings 1 Low FODMAPs diet compared to sham diet for the management of abdominal pain in ulcerative colitis; Summary of findings 2 Relaxation training compared to wait‐list for the management of abdominal pain in ulcerative colitis; Summary of findings 3 Yoga intervention compared to no intervention for the management of abdominal pain in ulcerative colitis; Summary of findings 4 Kefir compared to no intervention for the management of abdominal pain in ulcerative colitis; Summary of findings 5 Stellate ganglion block compared to sulphasalazine for the management of abdominal pain in ulcerative colitis

A summary of the interventions and key outcome definitions and data are presented in Table 1 and Table 2 and explained below.

Open in table viewer
Table 2. Primary outcome data

Comparison

Study ID

Treatment success end of study data IG/CG

Pain frequency data IG/CG

Pain intensity data IG/CG

Withdrawals due to adverse events IG/CG

Low FODMAPs diet vs. sham diet

Cox 2020

NR

mean(SD) end of study

IG=31(21.6)

CG=35(21.6)

mean(SD) end of study

IG=20(14.4)

CG=29(14.4)

IG=2

CG=1

Yoga intervention vs. no intervention

Sharma 2015

NR

NR

NR

IG=1

CG=2

Relaxation training vs. wait‐list

Shaw 1987

NR

mean(SD) end of study

IG=5.6(2.64)

CG=3(2.05)

 

mean(SD) 6‐week follow‐up

IG=6.7(3.07)

CG=3.4(2.23)

mean(SD) end of study

IG=5.4(1.84)

CG=7.1(2.08)

 

mean(SD) 6‐week follow‐up

IG=4.5(2.01)

CG=6.8(2.48)

NR

Kefir diet (Lactobacillus bacteria) vs. no intervention

Yilmaz 2019

NR

NR

mean(SD) end of study

IG=0.33(0.61)

CG=0.5(1.08)

IG=0

CG=0

Stellate ganglion block vs. sulfasalazine

Zhao 2017

NR

NR

NR

NR

1. Low FODMAPs diet versus sham diet

Cox 2020 (n = 52) compared a diet low in FODMAPs to a sham diet. It included participants with either CD or UC who were at an inactive stage of their disease, which was defined by all of the following: physician global assessment, stable medications, no IBD flare in the previous six months, faecal calprotectin less than 250 mg/g, and serum C‐reactive protein (CRP) less than 10 mg/L. The intervention lasted for four weeks.

Primary outcomes

Treatment success was not reported.

Pain was measured using the pain subscale of the IBS‐SSS that rates pain on a scale of 0 to 100 and the GSRS pain rating scale of 0 to 3.

Pain frequency

Pain frequency was measured.

At end of study, for the 13 UC participants in the 'low FODMAPs' group, the mean (SD) IBS‐SSS pain frequency in days was 31 (21.6) days and for the 13 participants in the sham‐diet group 35 (21.6). There was no clear difference in days of pain for CD participants when a low FODMAPs diet was compared to a sham diet in Cox 2020 (MD −4.00, 95% CI −20.61 to 12.61). The certainty of evidence was very low, due to risk of bias and imprecision (Analysis 1.1summary of findings Table 1).

Separate UC data for the GSRS scale was requested but not provided by the authors.

Pain intensity

Pain intensity was measured.

At end of study, for the 13 UC participants in the 'low FODMAPs' group the mean (SD) IBS‐SSS pain intensity was 20 (14.4) and for the 13 participants in the sham‐diet group 29 (14.4). There was no clear difference in intensity of pain for CD participants when a low FODMAPs diet was compared to a sham diet in Cox 2020 (MD −9.00, 95% CI −20.07 to 2.07). The certainty of evidence was very low, due to risk of bias and imprecision (Analysis 1.2summary of findings Table 1).

Separate UC data for the GSRS scale was requested but not provided by the authors.

Withdrawals due to adverse events

There were two withdrawals due to adverse events in the 'low FODMAPs' group (one IBD relapse, one beginning antibiotics) and one in the sham‐diet group (IBD relapse). There was no clear difference in withdrawals due to adverse effects between the 'low FODMAPs' and sham‐diet groups (RR 1.85, 95% CI 0.18 to 19.19; 52 participants). The certainty of evidence was very low due to risk of bias and imprecision (Analysis 1.3summary of findings Table 1).

Secondary outcomes

Anxiety/depression were not reported.

No serious adverse events were reported. Adverse events were reported in five participants. One participant in the IG group and one in the CG group reported flu‐like symptoms and sinusitis, and one reported worsening of abdominal pain in the IG group. Two participants, one in the IG and one in the CG group, reported IBD relapse.

2. Relaxation training versus wait‐list

Shaw 1987 compared a relaxation training to a wait‐list (n = 40). It included only people with UC at an unclear stage of the disease. The intervention lasted six weeks, with participants followed up for six weeks after the end of the intervention.

Primary outcomes

Treatment success was not reported.

Pain frequency was measured in hours between pain episodes, and pain intensity on an unidentified 0 to 10 scale. Withdrawals due to adverse events were not reported.

Pain frequency

At end of study the mean (SD) score for the 20 UC participants in the relaxation‐training group was 5.6 (2.64) and for the 20 UC participants in the wait‐list group 3.0 (2.05). There was a difference in hours between pain episodes at end of study in the relaxation training when compared to a wait‐list (MD 2.60, 95% CI 1.14 to 4.06). The certainty of evidence was very low, due to imprecision and risk of bias (Analysis 2.1summary of findings Table 2).

Six weeks after end of study the mean (SD) score for the 20 UC participants in the relaxation training group was 6.7 (3.07) and for the 20 UC participants in the wait‐list group 3.4 (2.23). There was a small difference in hours between pain episodes six weeks after end of study in the relaxation‐training when compared to a wait‐list (MD 3.30, 95% CI 1.64 to 4.96). The certainty of evidence was very low, due to imprecision and risk of bias (Analysis 2.2summary of findings Table 2).

Pain intensity

In Shaw 1987 at end of study the mean (SD) score for the 20 UC participants in the relaxation‐training group was 5.4 (1.84) and for the 20 UC participants in the wait‐list group 7.1 (2.08). There was a difference in pain intensity at end of study in the relaxation‐training when compared to a wait‐list (MD −1.70, 95% CI −2.92 to −0.48). The certainty of evidence was very low due to imprecision and risk of bias (Analysis 2.3summary of findings Table 2).

Six weeks after end of study the mean (SD) score for the 20 UC participants in the relaxation‐training group was 4.5 (2.01) and for the 20 UC participants in the wait‐list group 6.8 (2.48). There was a small difference in hours between pain episodes at end of study in the relaxation‐training when compared to a wait‐list (MD −2.30, 95% CI ‐3.70 to ‐0.90). The certainty of evidence was very low due to imprecision and risk of bias (Analysis 2.4summary of findings Table 2).

Withdrawals due to adverse events were not reported.

Secondary outcomes

Anxiety/depression and adverse events or serious adverse events were not reported.

3. Yoga intervention versus no intervention

Sharma 2015 (n = 60) compared a yoga intervention to no intervention (both groups received standard medical therapy). The study included only participants with CD or UC at an inactive stage of the disease with a CDAI score under 150, while UC activity was measured on the Truelove and Witts index (Truelove 1954). The intervention lasted eight weeks. The study reported data for the 30 UC participants in the yoga group and 30 UC participants in the control group.

Primary outcomes

Treatment success in this study was measured as a dichotomous outcome of presence or absence of pain. The types of pain reported were tenesmus, intestinal colic pain, peri‐anal pain and arthralgia, of which intestinal colic pain was the most relevant to the topic of this review.

The authors report at baseline that three participants in the yoga group and four in the control group reported the presence of pain, and 23 in the yoga group and 22 in the control group reported absence of pain.

At end of study, in the yoga group five reported presence of pain and in the control group 14 reported presence of pain, while 20 in the yoga group and 12 in the control group reported absence of pain.

After we contacted the authors, they explained that these results are for the 25 UC participants in the yoga group and the 26 participants in the control group who completed the study. However, if the baseline and end‐of‐study numbers for presence of pain are summed for the yoga group the total is 26. The authors did not provide further clarification on this discrepancy, nor on how presence and absence of pain were defined, and whether this was a yes/no question for participants or a pain scale with a cut‐off score.

Due to the reasons outlined above and the fact that we could not determine whether presence and absence of pain were measured for all 60 UC participants randomised to the study at baseline we did not perform an analysis for the results provided for this outcome.

Pain frequency and pain intensity were not reported in this study.

Withdrawals due to adverse events

There were three cases of increased disease activity that led participants to drop out from the study. One occurred in the yoga group and two in the standard medical‐therapy group. There was no clear difference in withdrawals due to adverse events between the two groups (RR 0.50, 95% CI 0.05 to 5.22). The certainty of this result is very low due to imprecision and risk of bias (Analysis 3.1summary of findings Table 3).

Secondary outcomes

The authors reported that there were no serious adverse events in either group. Total adverse events were also zero in both groups.

Anxiety level results were reported using the State and Trait Anxiety Inventory, consisting of two 20‐item subscales. Participants were asked to mark: not at all, somewhat, moderately, very much, on a scale of 1 to 4. Scoring was done as the sum of these individual scores. The range of anxiety score was 20 to 80.

At end of study the mean (SD) state anxiety score for the 30 UC participants in the yoga group was 32.8 (8.21) and for the 30 UC participants in the standard medical‐therapy group 39 (9.05). There was a difference in state anxiety at end of study in the yoga group when compared to standard medical therapy (MD −6.20, 95% CI −10.57 to −1.83). The certainty of evidence was very low due to imprecision and risk of bias (Analysis 3.2summary of findings Table 3).

At end of study the mean (SD) trait anxiety score for the 30 UC participants in the yoga group was 41.24 (8.22) and for the 30 UC participants in the standard medical‐therapy group 42.26 (8.29). There was no difference in trait anxiety at end of study in the yoga group when compared to standard medical therapy (MD −1.02, 95% CI −5.25 to 3.21). The certainty of evidence was very low, due to imprecision and risk of bias (Analysis 3.3summary of findings Table 3).

Depression was not measured.

4. Kefir diet (Lactobacillus bacteria) versus no intervention

Yilmaz 2019 (n = 48) compared a Kefir diet with Lactobacillus bacteria versus no intervention. The study included participants with CD or UC whose disease activity ranged from inactive to moderate. The intervention lasted four weeks.

Primary outcomes

Treatment success in Yilmaz 2019 was not reported.

Pain was measured on a four‐point rating scale from 0 to 3. Pain frequency was not reported.

Pain intensity

At end of study mean(SD) the score for pain intensity for the 15 participants in the UC Kefir group was 0.33 (0.61) and for the 10 participants in the no‐intervention group 0.5 (1.08). No clear difference was detected in pain intensity scores when Kefir diet was compared to no intervention (MD −0.17, 95% CI −0.91 to 0.57). The certainty of the evidence is low due to risk of bias and imprecision (Analysis 4.1summary of findings Table 4)

Withdrawals due to adverse events

There were no withdrawals due to adverse events in either group, so there was no estimable relative effect of the intervention on withdrawals due to adverse events (summary of findings Table 4).

Secondary outcomes

Anxiety/depression and adverse events or serious adverse events were not reported.

5. Stellate ganglion block versus sulphasalazine

Zhao 2017 (n = 120) compared stellate ganglion block treatment once a day to four doses of sulphasalazine twice a day orally. The study included UC participants at an unclear stage of the disease. The intervention lasted 30 days. Ninety UC participants were randomised to the intervention group and 30 participants to the control group.

Primary outcomes

Treatment success in Zhao 2017 was not reported. Pain was measured as "stomachache", with no further details.

At baseline, stomachache was experienced by 17 participants in the stellate ganglion block group and by 50 participants in the sulphasalazine group. At end of study, stomachache was experienced by eight participants in the stellate ganglion block group and by 13 participants in the sulphasalazine group.

We contacted the study authors to determine if the end‐of‐study results were from the same subgroup of participants who reported stomachache at baseline. We received no response and we could not determine if these results were for the participants experiencing stomachache at baseline or if they refer to the whole study cohort. We therefore decided not to perform any meta‐analysis for these results.

Pain frequency and intensity were not reported.

Withdrawals due to adverse events were not reported.

Secondary outcomes

Anxiety/depression and adverse events or serious adverse events were not reported.

Discussion

Summary of main results

This review includes a wide range of interventions. Two of them were forms of diet (Cox 2020; Yilmaz 2019), one was a form of psychological management (Shaw 1987), one was a form of exercise (Sharma 2015) and one was a medical treatment (Zhao 2017). Two of them looked exclusively at UC (Shaw 1987; Zhao 2017) while the rest looked at participants with both CD and UC (Cox 2020; Sharma 2015; Yilmaz 2019). The studies included a range of disease states.

Our primary outcome of treatment success was defined or reported in only one study (Sharma 2015), which measured the absence or presence of pain as a dichotomous outcome. Pain was also measured as a dichotomous outcome by Zhao 2017, but the study was unclear about the method they used and reported their results without an explanation.

In the remaining studies pain was measured as a continuous outcome, by improvement on a rating scale: either 0 to 100 (Cox 2020), a 0 to 10 cm VAS scale, a 0 to 10 Likert scale or an unidentified 0 to 10 scale (Shaw 1987), and a four‐point 0 to 3 scale (Cox 2020; Yilmaz 2019). In all these studies a lower rating indicated less pain and a higher rating indicated more pain, except for the measurement of pain frequency in Shaw 1987, which measured the time between pain episodes, and in which a higher score indicated less pain frequency. Except for Sharma 2015 and Zhao 2017, all studies measured pain intensity, and only two studies measured pain frequency (Cox 2020; Shaw 1987). Withdrawals due to adverse events were directly or indirectly reported in two studies (Cox 2020; Sharma 2015).

The heterogeneity in outcome measures reported and interventions used severely limited our scope for meta‐analysis.

In one study comparing relaxation training to a wait‐list, it was reported that relaxation training improved pain intensity and pain frequency in comparison to a wait‐list at end of study and at six‐week follow‐up (Shaw 1987). However, this evidence was of very low certainty, due to imprecision and risk of bias, so we cannot draw any conclusions on the effect of relaxation training on pain intensity for UC.

For two studies, comparing yoga to no intervention and stellate ganglion block to sulphasalazine, whilst their primary outcomes were focused on pain, we could not determine whether they included participants who had both pain and no pain at baseline or only participants with pain. As further data on the subgroup with pain at baseline were not reported, we wrote to the authors for these data but received no response. We were therefore unable to conduct further analysis on these studies.

There were no other direct comparisons that found any clear difference for pain intensity or frequency between interventions, although certainty was very low for all outcomes, due to imprecision from sparse data and risk of bias varying between unclear and high.

Two studies reported withdrawals due to adverse events: Cox 2020: one IBD relapse in each group and one beginning antibiotics in the 'low FODMAPs' group; and Sharma 2015: one case of increased activity in the yoga group and two in the no‐intervention group. We could draw no conclusions about the effects of any of the interventions on withdrawals due to adverse events, because of the lack of evidence.

The reporting of serious and total adverse events as secondary outcomes was inconsistent. Cox 2020 and Sharma 2015 reported on serious and total adverse events. Adverse events tended to be very low or zero, while serious adverse events were zero in both. We can make no clear judgements about adverse events for any of the interventions, due to the low number of events. Cox 2020 reported one participant in the intervention and one in the control group with flu‐like symptoms and sinusitis, and one case of reported worsening of abdominal pain in the intervention group.

Anxiety was measured only in Sharma 2015, with evidence for an improvement in state anxiety when yoga was compared to no intervention. However, this evidence was of very low certainty due to imprecision and risk of bias, so we cannot draw any conclusions about the effects of yoga on state anxiety in UC. Trait anxiety was also measured, but no clear difference was found when yoga was compared to no intervention.

Depression was not measured in any of the studies.

Overall completeness and applicability of evidence

The studies considered a wide range of interventions, and potentially a mix of disease activity, as two studies did not specify the disease activity of their participants. The number of included studies was also very small, resulting partially from the fact that many studies that examined pain in IBD did not have separate results for their UC population, so we had to exclude them from this review.

It is also very clear that the range of interventions and the small numbers of studies and participants put the evidence at significant risk of imprecision. This is pervasive across the evidence presented in this review, with each comparison at high risk of imprecision.

Quality of the evidence

There were significant issues with risk of bias throughout the studies included in this review. Despite requests to authors of all studies, only one author (Yilmaz 2019) provided data to modify our judgements in some of our 'Risk of bias' assessments.

First, two studies did not clearly describe randomisation (Shaw 1987; Zhao 2017), and three allocation concealment (Shaw 1987; Yilmaz 2019; Zhao 2017).

Secondly, blinding of participants and personnel was understandably not possible in most of the studies, but it was potentially possible for assessors and was either not done or not described in all but one study (Yilmaz 2019). Furthermore, most studies failed to discuss whether their outcome assessors were blinded.

Thirdly, one study had issues with selective reporting (Sharma 2015) which led to further downgrading of the certainty of the evidence.

Finally, other key sources of bias exist, mainly potential imbalance in baseline characteristics which was observed in Zhao 2017, which further impacted the quality of the evidence.

Potential biases in the review process

There is a key area of concern related to the issue of clinical heterogeneity. As discussed, the inclusion of a wide range of interventions, together with uncertainty about the included disease states, reflects the evidence as a whole, but to some extent ignores these issues. However, as further data become available, this potential source of bias may be mitigated in future versions of this review.

It should also be noted that IBS is more common in people with IBD, and it is possible that the interventions that showed some promising results within this review are simply treating IBS and not pain immediately caused by UC.

Agreements and disagreements with other studies or reviews

This is the first Cochrane Review on this topic.

Considering the international guidelines for IBD, few of the major societies mention treating pain in IBD.

The recent UK BSG guidelines (BSG 2019) do make recommendations, citing several of the studies in this review. They state that psychological interventions may be useful as adjunctive therapy, citing this as a weak recommendation with low‐quality evidence; this would be supported by the evidence in our review. They do not comment on any of the other intervention types included in this review and do not define such psychological interventions.

The current UK NICE guidelines do not discuss pain relief as a stand‐alone treatment goal (NICE 2019). The AGA (AGA 2020) guidelines make no mention of pain relief in this area. The ECCO (ECCO 2020) guidelines also make no mention of such therapies.

Study flow diagram.

Figuras y tablas -
Figure 1

Study flow diagram.

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.

Figuras y tablas -
Figure 2

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.

Risk of bias summary: review authors' judgements about each risk of bias item for each included study.

Figuras y tablas -
Figure 3

Risk of bias summary: review authors' judgements about each risk of bias item for each included study.

Comparison 1: Low FODMAPs diet vs sham diet, Outcome 1: Pain frequency

Figuras y tablas -
Analysis 1.1

Comparison 1: Low FODMAPs diet vs sham diet, Outcome 1: Pain frequency

Comparison 1: Low FODMAPs diet vs sham diet, Outcome 2: Pain intensity

Figuras y tablas -
Analysis 1.2

Comparison 1: Low FODMAPs diet vs sham diet, Outcome 2: Pain intensity

Comparison 1: Low FODMAPs diet vs sham diet, Outcome 3: Withdrawal due to adverse events

Figuras y tablas -
Analysis 1.3

Comparison 1: Low FODMAPs diet vs sham diet, Outcome 3: Withdrawal due to adverse events

Comparison 2: Relaxation training vs wait‐list, Outcome 1: Pain frequency (end of intervention)

Figuras y tablas -
Analysis 2.1

Comparison 2: Relaxation training vs wait‐list, Outcome 1: Pain frequency (end of intervention)

Comparison 2: Relaxation training vs wait‐list, Outcome 2: Pain frequency (6 weeks after end of intervention)

Figuras y tablas -
Analysis 2.2

Comparison 2: Relaxation training vs wait‐list, Outcome 2: Pain frequency (6 weeks after end of intervention)

Comparison 2: Relaxation training vs wait‐list, Outcome 3: Pain intensity (end of intervention)

Figuras y tablas -
Analysis 2.3

Comparison 2: Relaxation training vs wait‐list, Outcome 3: Pain intensity (end of intervention)

Comparison 2: Relaxation training vs wait‐list, Outcome 4: Pain intensity (6 weeks after end of intervention)

Figuras y tablas -
Analysis 2.4

Comparison 2: Relaxation training vs wait‐list, Outcome 4: Pain intensity (6 weeks after end of intervention)

Comparison 3: Yoga vs no intervention, Outcome 1: Withdrawal due to adverse events

Figuras y tablas -
Analysis 3.1

Comparison 3: Yoga vs no intervention, Outcome 1: Withdrawal due to adverse events

Comparison 3: Yoga vs no intervention, Outcome 2: State anxiety

Figuras y tablas -
Analysis 3.2

Comparison 3: Yoga vs no intervention, Outcome 2: State anxiety

Comparison 3: Yoga vs no intervention, Outcome 3: Trait anxiety

Figuras y tablas -
Analysis 3.3

Comparison 3: Yoga vs no intervention, Outcome 3: Trait anxiety

Comparison 4: Kefir vs no intervention, Outcome 1: Pain intensity

Figuras y tablas -
Analysis 4.1

Comparison 4: Kefir vs no intervention, Outcome 1: Pain intensity

Summary of findings 1. Low FODMAPs diet compared to sham diet for the management of abdominal pain in ulcerative colitis

Low FODMAPs diet compared to sham diet for the management of abdominal pain in ulcerative colitis

Patient or population: UC patients
Setting: multicentre, 2 gastroenterology clinics in the UK
Intervention: Low FODMAPs diet
Comparison: Sham diet

Outcomes

Anticipated absolute effects* (95% CI)

Relative effect
(95% CI)

№ of participants
(studies)

Certainty of the evidence
(GRADE)

Comments

Risk with sham diet

Risk with Low FODMAPs diet

Treatment success as defined by the authors

Not measured

Pain frequency (measured in days of pain on the IBS‐SSS questionnaire)

MD 4.00 lower
(20.61 lower to 12.61 higher)

26
(1 study)

⊕⊝⊝⊝
very lowa,b

Pain intensity (0‐10cm visual analogue scale)

MD 9.00 lower
(20.07 lower to 2.07 higher)

26
(1 study)

 

⊕⊝⊝⊝
very lowa,b

Withdrawal due to adverse events

Study population

RR 1.85

(0.18 to 19.19

52
(1 study)

 

⊕⊝⊝⊝
very lowa,b

4 per 1000

0 per 1000
(1 to 77)

*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).

CI: Confidence interval; RR: Risk ratio; MD: mean difference

GRADE Working Group grades of evidence
High certainty: We are very confident that the true effect lies close to that of the estimate of the effect
Moderate certainty: We are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different
Low certainty: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect
Very low certainty: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect

aDowngraded by one level due to high risk of bias.
bDowngraded by two levels due to imprecision from very sparse data.

Figuras y tablas -
Summary of findings 1. Low FODMAPs diet compared to sham diet for the management of abdominal pain in ulcerative colitis
Summary of findings 2. Relaxation training compared to wait‐list for the management of abdominal pain in ulcerative colitis

Relaxation training compared to wait‐list for the management of abdominal pain in ulcerative colitis

Patient or population: UC patients
Setting: not reported, USA
Intervention: Relaxation training
Comparison: Wait‐list

Outcomes

Anticipated absolute effects* (95% CI)

Relative effect
(95% CI)

№ of participants
(studies)

Certainty of the evidence
(GRADE)

Comments

Risk with wait‐list

Risk with relaxation training

Treatment success as defined by the authors

Not measured

Pain frequency (end of intervention, hours between pain episodes)

MD 2.6 higher
(1.14 higher to 4.06 higher)

40
(1 study)

⊕⊝⊝⊝
very lowa,b

Pain frequency (6 weeks after end of intervention, hours between pain episodes)

MD 3.3 higher
(1.64 higher to 4.96 higher)

40
(1 study)

⊕⊝⊝⊝
very lowa,b

Pain intensity (end of intervention, unidentified 0‐10 scale)

MD 1.7 lower
(2.92 lower to 0.48 lower)

40
(1 study)

⊕⊝⊝⊝
very lowa,b

Pain intensity (6 weeks after end of intervention, unidentified 0‐10 scale)

MD 2.3 lower
(3.7 lower to 0.9 lower)

40
(1 study)

⊕⊝⊝⊝
very lowa,b

Withdrawals due to adverse events

Not measured

*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).

CI: Confidence interval; RR: Risk ratio; MD: mean difference

GRADE Working Group grades of evidence
High certainty: We are very confident that the true effect lies close to that of the estimate of the effect
Moderate certainty: We are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different
Low certainty: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect
Very low certainty: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect

aDowngraded by one level due to high risk of bias.
bDowngraded by two levels due to imprecision from very sparse data.

Figuras y tablas -
Summary of findings 2. Relaxation training compared to wait‐list for the management of abdominal pain in ulcerative colitis
Summary of findings 3. Yoga intervention compared to no intervention for the management of abdominal pain in ulcerative colitis

Yoga intervention plus standard medical therapy compared to standard medical therapy for the management of abdominal pain in ulcerative colitis

Patient or population: UC patients
Setting: New Delhi, India, Single‐centre, All India Institute of Medical Science (AIIMS)
Intervention: Yoga intervention plus standard medical therapy
Comparison: Standard medical therapy

Outcomes

Anticipated absolute effects* (95% CI)

Relative effect
(95% CI)

№ of participants
(studies)

Certainty of the evidence
(GRADE)

Comments

Risk with standard medical therapy

Risk with yoga intervention plus standard medical therapy

Treatment success as defined by the authors

Not measured

Pain frequency

Not measured

Pain intensity

Not measured

Withdrawal due to adverse events

Study population

RR 0.50 (0.05 to 5.22)

60
(1 study)

⊕⊝⊝⊝
very lowa,b

67 per 1000

34 per 1000
(3 to 350)

State anxiety (20‐item State Anxiety Inventory, results range between 20 and 80)

MD 6.2 lower
(10.57 lower to 1.83 lower)

60
(1 study)

⊕⊝⊝⊝
very lowa,b

Trait anxiety (20‐item Trait Anxiety Inventory, results range between 20 and 80)

MD 1.02 lower
(5.25 lower to 3.21 higher)

60
(1 study)

⊕⊝⊝⊝
very lowa,b

*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).

CI: Confidence interval; RR: Risk ratio; MD: mean difference

GRADE Working Group grades of evidence
High certainty: We are very confident that the true effect lies close to that of the estimate of the effect
Moderate certainty: We are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different
Low certainty: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect
Very low certainty: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect

aDowngraded by one level due to high risk of bias.
bDowngraded by two levels due to imprecision from very sparse data.

Figuras y tablas -
Summary of findings 3. Yoga intervention compared to no intervention for the management of abdominal pain in ulcerative colitis
Summary of findings 4. Kefir compared to no intervention for the management of abdominal pain in ulcerative colitis

Kefir compared to no intervention for the management of abdominal pain in ulcerative colitis

Patient or population: UC patients
Setting: not reported, single‐centre, Turkey
Intervention: Kefir
Comparison: no intervention

Outcomes

Anticipated absolute effects* (95% CI)

Relative effect
(95% CI)

№ of participants
(studies)

Certainty of the evidence
(GRADE)

Comments

Risk with no intervention

Risk with kefir

Treatment success as defined by the authors

Not measured

Pain frequency

 

Not measured

Pain intensity (measure on a 0‐3 four‐point scale)

MD 0.17 lower
(0.91 lower to 0.57 higher)

25
(1 study)

⊕⊝⊝⊝
very lowa,b

Withdrawals due to adverse events

Study population

not estimable

20
(1 study)

0 per 1000

0 per 1000
(0 to 0)

*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).

CI: Confidence interval; RR: Risk ratio; MD: mean difference

GRADE Working Group grades of evidence
High certainty: We are very confident that the true effect lies close to that of the estimate of the effect
Moderate certainty: We are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different
Low certainty: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect
Very low certainty: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect

aDowngraded by one level due to high risk of bias.
bDowngraded by two levels due to imprecision from very sparse data.

Figuras y tablas -
Summary of findings 4. Kefir compared to no intervention for the management of abdominal pain in ulcerative colitis
Summary of findings 5. Stellate ganglion block compared to sulphasalazine for the management of abdominal pain in ulcerative colitis

Stellate ganglion block compared to sulphasalazine for the management of abdominal pain in ulcerative colitis

Patient or population: UC patients
Setting: Cangzhou Central Hospital, China
Intervention: Stellate ganglion block 
Comparison: Sulphasalazine

Outcomes 

Anticipated absolute effects* (95% CI)

Relative effect
(95% CI)

№ of participants
(studies)

Certainty of the evidence
(GRADE)

Comments

Risk with sulphasalazine

Risk with stellage ganglion block

Treatment success as defined by the authors

Not measured

Pain frequency

Not measured

Pain intensity (measure on a 0‐3 four‐point scale)

Not measured

Withdrawals due to adverse events

Not measured

*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).

CI: Confidence interval; RR: Risk ratio; MD: mean difference

GRADE Working Group grades of evidence
High certainty: We are very confident that the true effect lies close to that of the estimate of the effect
Moderate certainty: We are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different
Low certainty: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect
Very low certainty: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect

Figuras y tablas -
Summary of findings 5. Stellate ganglion block compared to sulphasalazine for the management of abdominal pain in ulcerative colitis
Table 1. Primary outcome details

Comparison

Study ID

Disease type

Disease activity

Length of intervention

Measurement of pain

Number of randomised participants

Low FODMAPs diet vs. sham diet

Cox 2020

IBD

inactive

4 weeks

Pain frequency and intensity:

IBS‐SSS for pain rating scale 0 ‐ 100,

GSRS rating scale 0‐3

52

(IG:27; CG: 25)

Yoga intervention vs. no intervention

Sharma 2015

UC/IBD

inactive

8 weeks

presence or absence of pain

100

(IG:50; CG: 50)

Relaxation training vs. wait‐list

Shaw 1987

UC

unclear

6 weeks

Pain frequency:

Hours between pain episodes

Pain intensity:

Scale 0 ‐ 10

40

(IG:20; CG: 20)

Kefir diet (Lactobacillus bacteria) vs. no intervention

Yilmaz 2019

IBD

inactive to moderate

4 weeks

Pain intensity:

rating scale 0 ‐ 3

48

(IG:28; CG: 20)

Stellate ganglion block vs. sulfasalazine

Zhao 2017

UC

unclear

30 days

"Stomachache" (result values provided without explanation)

120

(IG:90; CG: 30)

IBD: irritable bowel disease; UC: ulcerative colitis

Figuras y tablas -
Table 1. Primary outcome details
Table 2. Primary outcome data

Comparison

Study ID

Treatment success end of study data IG/CG

Pain frequency data IG/CG

Pain intensity data IG/CG

Withdrawals due to adverse events IG/CG

Low FODMAPs diet vs. sham diet

Cox 2020

NR

mean(SD) end of study

IG=31(21.6)

CG=35(21.6)

mean(SD) end of study

IG=20(14.4)

CG=29(14.4)

IG=2

CG=1

Yoga intervention vs. no intervention

Sharma 2015

NR

NR

NR

IG=1

CG=2

Relaxation training vs. wait‐list

Shaw 1987

NR

mean(SD) end of study

IG=5.6(2.64)

CG=3(2.05)

 

mean(SD) 6‐week follow‐up

IG=6.7(3.07)

CG=3.4(2.23)

mean(SD) end of study

IG=5.4(1.84)

CG=7.1(2.08)

 

mean(SD) 6‐week follow‐up

IG=4.5(2.01)

CG=6.8(2.48)

NR

Kefir diet (Lactobacillus bacteria) vs. no intervention

Yilmaz 2019

NR

NR

mean(SD) end of study

IG=0.33(0.61)

CG=0.5(1.08)

IG=0

CG=0

Stellate ganglion block vs. sulfasalazine

Zhao 2017

NR

NR

NR

NR

Figuras y tablas -
Table 2. Primary outcome data
Comparison 1. Low FODMAPs diet vs sham diet

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1.1 Pain frequency Show forest plot

1

Mean Difference (IV, Random, 95% CI)

Totals not selected

1.2 Pain intensity Show forest plot

1

Mean Difference (IV, Random, 95% CI)

Totals not selected

1.3 Withdrawal due to adverse events Show forest plot

1

Risk Ratio (M‐H, Random, 95% CI)

Totals not selected

Figuras y tablas -
Comparison 1. Low FODMAPs diet vs sham diet
Comparison 2. Relaxation training vs wait‐list

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

2.1 Pain frequency (end of intervention) Show forest plot

1

Mean Difference (IV, Random, 95% CI)

Totals not selected

2.2 Pain frequency (6 weeks after end of intervention) Show forest plot

1

Mean Difference (IV, Random, 95% CI)

Totals not selected

2.3 Pain intensity (end of intervention) Show forest plot

1

Mean Difference (IV, Random, 95% CI)

Totals not selected

2.4 Pain intensity (6 weeks after end of intervention) Show forest plot

1

Mean Difference (IV, Random, 95% CI)

Totals not selected

Figuras y tablas -
Comparison 2. Relaxation training vs wait‐list
Comparison 3. Yoga vs no intervention

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

3.1 Withdrawal due to adverse events Show forest plot

1

Risk Ratio (M‐H, Random, 95% CI)

Totals not selected

3.2 State anxiety Show forest plot

1

Mean Difference (IV, Random, 95% CI)

Totals not selected

3.3 Trait anxiety Show forest plot

1

Mean Difference (IV, Random, 95% CI)

Totals not selected

Figuras y tablas -
Comparison 3. Yoga vs no intervention
Comparison 4. Kefir vs no intervention

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

4.1 Pain intensity Show forest plot

1

Mean Difference (IV, Random, 95% CI)

Totals not selected

Figuras y tablas -
Comparison 4. Kefir vs no intervention