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Uso de TEP con flutemetamol F 18 para el diagnóstico temprano de la demencia de la enfermedad de Alzheimer y otras demencias en pacientes con deterioro cognitivo leve (DCL)

Información

DOI:
https://doi.org/10.1002/14651858.CD012884Copiar DOI
Base de datos:
  1. Cochrane Database of Systematic Reviews
Versión publicada:
  1. 22 noviembre 2017see what's new
Tipo:
  1. Diagnostic
Etapa:
  1. Review
Grupo Editorial Cochrane:
  1. Grupo Cochrane de Demencia y trastornos cognitivos

Copyright:
  1. Copyright © 2017 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.

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Autores

  • Gabriel Martínez

    Correspondencia a: Iberoamerican Cochrane Centre, Barcelona, Spain

    [email protected]

    [email protected]

    Faculty of Medicine and Dentistry, Universidad de Antofagasta, Antofagasta, Chile

    Alzheimer Research Center and Memory Clinic of Fundació ACE, Institut Català de Neurociències Aplicades, Barcelona, Spain

  • Robin WM Vernooij

    Iberoamerican Cochrane Centre, Barcelona, Spain

  • Paulina Fuentes Padilla

    Iberoamerican Cochrane Centre, Barcelona, Spain

    Faculty of Medicine and Dentistry, Universidad de Antofagasta, Antofagasta, Chile

  • Javier Zamora

    Clinical Biostatistics Unit, Ramon y Cajal Institute for Health Research (IRYCIS), CIBER Epidemiology and Public Health (CIBERESP), Madrid (Spain) and Women's Health Research Unit, Centre for Primary Care and Public Health, Queen Mary University of London, London, UK

  • Leon Flicker

    Western Australian Centre for Health & Ageing ‐ WACHA, University of Western Australia, Perth, Australia

  • Xavier Bonfill Cosp

    Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain

    Universitat Autònoma de Barcelona, Barcelona, Spain

Contributions of authors

  • Gabriel Martínez, Robin WM Vernooij, and Paulina Fuentes Padilla: contributed to conception, design, and draft of the protocol; overall responsibility of study selection; data extraction; contacted the authors; draft of discussion; and authors’ conclusion sections.

  • Leon Flicker: contributed to conception, and designed and reviewed the draft protocol and final manuscript.

  • Xavier Bonfill Cosp: reviewed the draft protocol and final manuscript.

  • Javier Zamora: designed and drafted the protocol, performed statistical analyses, updated the statistical methods section and finalised the manuscript.

Sources of support

Internal sources

  • No sources of support supplied

External sources

  • National Institute for Health Research (NIHR), UK.

    This protocol was supported by the NIHR, via Cochrane Infrastructure funding to the Cochrane Dementia and Cognitive Improvement group. The views and opinions expressed therein are those of the protocol authors and do not necessarily reflect those of the Systematic Reviews Programme, the NIHR, the NHS, or the Department of Health

Declarations of interest

  • Gabriel Martínez has no known conflicts of interest.

  • Leon Flicker has no known conflicts of interest.

  • Robin WM Vernooij has no known conflicts of interest.

  • Paulina Fuentes Padilla has no known conflicts of interest.

  • Javier Zamora has no known conflicts of interest.

  • Xavier Bonfill Cosp has no known conflicts of interest.

Acknowledgements

Gabriel Martínez is a PhD candidate in Methodology of Biomedical Research and Public Health at the Department of Paediatrics, Obstetrics and Gynaecology and Preventive Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain.

We are grateful to the authors of included and excluded studies who responded to our requests for additional information.

We thank the Cochrane Dementia and Cognitive Improvement Group (CDCIG) for strong support, especially Sue Marcus in finalizing the review.

We thank Anna Noel‐Storr, Information Specialist of the CDCIG, for her assistance with the design of the search strategy.

We thank Gerard Urrútia and Marta Roqué i Figuls for their contribution in the preparation of the protocol for the review (Martínez 2016)

We thank the peer reviewers for their many helpful suggestions.

Version history

Published

Title

Stage

Authors

Version

2017 Nov 22

18F PET with flutemetamol for the early diagnosis of Alzheimer's disease dementia and other dementias in people with mild cognitive impairment (MCI)

Review

Gabriel Martínez, Robin WM Vernooij, Paulina Fuentes Padilla, Javier Zamora, Leon Flicker, Xavier Bonfill Cosp

https://doi.org/10.1002/14651858.CD012884

Keywords

MeSH

Flow diagram.
Figuras y tablas -
Figure 1

Flow diagram.

Risk of bias and applicability concerns summary: review authors' judgements about each domain for each included study
Figuras y tablas -
Figure 2

Risk of bias and applicability concerns summary: review authors' judgements about each domain for each included study

Forest plot of 18F‐flutemetamol.
Figuras y tablas -
Figure 3

Forest plot of 18F‐flutemetamol.

18F‐flutemetamol.
Figuras y tablas -
Test 1

18F‐flutemetamol.

Summary of findings DTA of 18F‐flutemetamol to predict the progression to ADD in people with MCI

What is the diagnostic accuracy of 18F‐flutemetamol PET amyloid biomarker for predict progression to ADD in people with MCI?

Descriptive

Patient population

Participants diagnosed with MCI at the time of performing the test using any of the Petersen criteria or Winblad criteria or CDR = 0.5 or any of the 16 definitions included by Matthews (Matthews 2008).

Sources of referral

Not reported (n = 2)

MCI criteria

Petersen criteria (n = 2)

Sampling procedure

Unclear (n = 2)

Prior testing

The only testing prior to performing the 18F‐flutemetamol PET amyloid biomarker was the application of diagnostic criteria for identifying participants with MCI

Settings

Secondary care (n = 1)

Not reported (n = 1)

Index test

18F‐flutemetamol PET

Threshold pre‐specified at baseline

Yes (n=1)

Unclear (n=1)

Threshold interpretation

Visual (n = 1)

Quantitative (n = 1)

Thershold

SUVR (Standardised Uptake Volume ratio) of ROI: > 1.5 (n = 1)

Not specified: analytical visual approach of ROI: (n = 1)

18F‐flutemetamol retention region

Global cortex (n = 1)

Not reported (n = 1)

Reference Standard

For Alzheimer’s disease dementia:

NINCDS‐ADRDA (n = 1)

Unclear (n = 1)

Target condition

Progression from MCI to Alzheimer’s disease dementia or any other forms of dementia (non‐ADD) or any form of dementia

Included studies

Prospectively well‐defined cohorts with any accepted definition of MCI (as above). Two studies (N = 252 participants) were included. Number of participants included in analysis: 243

Quality concerns

NCT01028053:

Patient selection and index test QUADAS‐2 domain: unclear risk of bias

Reference standard domain: low risk of bias

Flow and timing domain: high risk of bias

There were unclear concerns about applicability in the patient selection and index test domain.
Thurfjell 2012:

Patient selection and index test QUADAS‐2 domain: low risk of bias

Reference standard domain: unclear risk of bias

Flow and timing domain: high risk of bias.

There was unclear concern about applicability in the reference standard domain.

Limitations

Limited investigation of heterogeneity and sensitivity analysis due to an insufficient number of studies.

We were unable to evaluate progression from MCI to any other form of dementia (non‐ADD) or any form of dementia due to lack of included studies.

Test

Studies

Cases/Participants

Sensitivity

Specificity

Consequences in a cohort of 100

Proportion converting1

Missed cases2

Overdiagnosed2

Alzheimer's disease dementia

18F‐flutemetamol with visual assessment

1

81/224

64% (95% CI 53% to 75%)

69% (95% CI 60% to 76%)

36

13

20

18F‐flutemetamol with SUVR

1

9/19

89% (95% CI 52% to 100%)

80% (95% CI 44% to 97%)

47

5

11

Investigation of heterogeneity and sensitivity analysis: The planned investigations were not possible due to the limited number of studies available for each analysis.

Conclusions:18F‐flutemetamol PET scan is not an accurate test for detecting progression from MCI to Alzheimer’s disease dementia. The strength of the evidence was weak because of considerable variation in study methods, unclear methodological quality due to poor reporting, and high risk of bias due to possible conflict of interest. There is a need for conducting studies using standardised 18F‐flutemetamol PET scan methodology in larger populations.

1. Proportion converting to ADD in each included study

2. Missed and overdiagnosed numbers were computed using the proportion converting to the target condition.

ADD: Alzheimer's disease dementia
CDR: Clinical Dementia Rating
MCI: Mild cognitive impairment
NINCDS‐ADRDA: National Institute of Neurological and Communicative Disorders and Stroke and the Alzheimer’s Disease and Related Disorders Association
PET: Positron emission tomography

QUADAS‐2: Quality Assessment of Diagnostic Accuracy Studies‐2
ROI: Region of interest
SUVR: Standardised uptake value ratio

Figuras y tablas -
Summary of findings DTA of 18F‐flutemetamol to predict the progression to ADD in people with MCI
Table Tests. Data tables by test

Test

No. of studies

No. of participants

1 18F‐flutemetamol Show forest plot

2

243

Figuras y tablas -
Table Tests. Data tables by test