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Cochrane Database of Systematic Reviews

18F PET dengan florbetapir untuk diagnosis awal dementia penyakit Alzheimer dan dementia lain dalam kalangan orang yang mempunyai ketakmampuan kognitif ringan (MCI)

Información

DOI:
https://doi.org/10.1002/14651858.CD012216.pub2Copiar 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

  • 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

  • Leon Flicker

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

Contributions of authors

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

  • Leon Flicker: contributed to the 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 final manuscript.

Sources of support

Internal sources

  • No sources of support supplied

External sources

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

    This review 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 review 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 florbetapir 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, Xavier Bonfill Cosp, Leon Flicker

https://doi.org/10.1002/14651858.CD012216.pub2

2016 May 30

<sup>18</sup>F PET ligands for the early diagnosis of Alzheimer’s disease dementia and other dementias in people with mild cognitive impairment (MCI)

Protocol

Gabriel Martínez, Leon Flicker, Robin WM Vernooij, Paulina Fuentes Padilla, Javier Zamora, Marta Roqué i Figuls, Gerard Urrútia, Xavier Bonfill Cosp

https://doi.org/10.1002/14651858.CD012216

Keywords

MeSH

Study flow diagram.
Figuras y tablas -
Figure 1

Study 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 tests: 1 MCI to ADD by visual assessment from 2 to less than 4 years of follow‐up, 2 MCI to ADD by visual assessment from 1 to less than 2 years follow‐up, 3 MCI to ADD by SUVR at 1 to less than 2 years follow‐up, 4 MCI to any form of dementia.
Figuras y tablas -
Figure 3

Forest plot of tests: 1 MCI to ADD by visual assessment from 2 to less than 4 years of follow‐up, 2 MCI to ADD by visual assessment from 1 to less than 2 years follow‐up, 3 MCI to ADD by SUVR at 1 to less than 2 years follow‐up, 4 MCI to any form of dementia.

MCI to ADD by visual assessment from 2 to less than 4 years of follow‐up.
Figuras y tablas -
Test 1

MCI to ADD by visual assessment from 2 to less than 4 years of follow‐up.

MCI to ADD by visual assessment from 1 to less than 2 years follow‐up.
Figuras y tablas -
Test 2

MCI to ADD by visual assessment from 1 to less than 2 years follow‐up.

MCI to ADD by SUVR at 1 to less than 2 years follow‐up.
Figuras y tablas -
Test 3

MCI to ADD by SUVR at 1 to less than 2 years follow‐up.

MCI to any form of dementia.
Figuras y tablas -
Test 4

MCI to any form of dementia.

Summary of findings Diagnostic test accuracy of 18F‐florbetapir to predict the progression to ADD, any other form of dementia (non‐ADD) or any form of dementia in people with MCI

What is the diagnostic accuracy of 18F‐florbetapir PET amyloid biomarker for predict progression to ADD, any other form of dementia (non‐ADD) or any form of dementia in people with MCI?

Descriptive

Patient population

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

Sources of referral

Not reported (n = 2)

Mixed (memory clinics, newspaper ads, radio, and other public media campaigns) (n = 1)

MCI criteria

ADNI criteria, CDR 0.5 criterion was included (n = 2)

CIND (cognitive impairment not dementia) (Matthews 2008) (n = 1)

Sampling procedure

Unclear (n = 3)

Prior testing

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

Settings

Community and institutionalised (n = 1)

Not reported (n = 2)

Index test

18F‐florbetapir PET

Threshold prespecified at baseline

Yes (n = 3)

Threshold interpretation

Visual (n = 3)

Quantitative (n = 1)

Threshold

Visual:

  • Increased tracer uptake reduced or absent white matter/gray matter contrast in at least one cortical (frontal, parietal, temporal, occipital) region detectable on more than two adjacent scan slices (n = 1)

  • Amyloid burden based on successive levels of florbetapir retention from from 0 (no amyloid) to 4 (high levels of cortical amyloid). The median of the three visual scores was used to dichotomize participants into Aβ (‐) (score, 0 to 1 point) and Aβ (+) (score, 2 to 4 points) (n = 2)

SUVR (Standardised Uptake Volume ratio):

  • > 1.11 (n = 1)

18F‐florbetapir retention region

Global cortex (n = 1)

Reference Standard

Alzheimer’s disease dementia:

NINCDS‐ADRDA (n = 1)

Unclear (n = 1)

Any form of dementia:

DSM‐IV criteria for dementia (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). Three studies (N = 458 participants) were included. Number of participants included in analysis: 453.

Quality concerns

The participant selection and reference standard QUADAS‐2 domain: unclear risk of bias.

The index test domain: low risk of bias in all three included studies.

The flow and timing domain: high risk of bias in the two included studies.

Unclear concerns about applicability in the reference standard domain in all three included studies.

Limitations

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

We were unable to evaluate progression from MCI to any other form of dementia (non‐ADD) 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‐florbetapir by visual assessment from one to less than two years of follow‐up

(Schreiber 2015)

1

61/401

89% (95% CI 78% to 95%)

58% (95% CI 53% to 64%)

15

2

36

18F‐florbetapir by quantitative assessment from one to less than two years of follow‐up

(Schreiber 2015)

1

61/401

87% (95% CI 76% to 94%)

51% (95% CI 45% to 56%)

15

2

42

18F‐florbetapir by visual assessment from two to less than four years of follow‐up

(Doraiswamy 2014)

1

9/47

67% (95% CI 30% to 93%)

71% (95% CI 54% to 85%)

19

6

23

Any form of dementia

18F‐florbetapir by visual assessment from one to less than two years of follow‐up

(Kawas 2013)

1

3/5

67% (95% CI 9% to 99%)

50% (95% CI 1% to 99%)

60

20

20

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‐florbetapir PET scan is not an accurate test for detecting progression from MCI to Alzheimer’s disease dementia or any form of 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‐florbetapir PET scan methodology in larger populations.

1. Proportion converting to ADD or any form of dementia in each included study.

2. Missed and overdiagnosed numbers were computed using the proportion converting to the target condition.
ADD: Alzheimer's disease dementia
ADNI: Alzheimer's Disease Neuroimaging Initiative
CDR: Clinical dementia rating
CIND: Cognitive impairment not dementia
DSM‐IV: Diagnostic and Statistical Manual of Mental Disorders (4th ed.)
MCI: Mild cognitive impairment
NINCDS‐ADRDA: National Institute of Neurological and Communicative Disorders and Stroke and the Alzheimer’s Disease and Related Disorders Association
QUADAS‐2: Quality Assessment of Diagnostic Accuracy Studies
SUVR: Standardised uptake value ratio

Figuras y tablas -
Summary of findings Diagnostic test accuracy of 18F‐florbetapir to predict the progression to ADD, any other form of dementia (non‐ADD) or any form of dementia in people with MCI
Table Tests. Data tables by test

Test

No. of studies

No. of participants

1 MCI to ADD by visual assessment from 2 to less than 4 years of follow‐up Show forest plot

1

47

2 MCI to ADD by visual assessment from 1 to less than 2 years follow‐up Show forest plot

1

401

3 MCI to ADD by SUVR at 1 to less than 2 years follow‐up Show forest plot

1

401

4 MCI to any form of dementia Show forest plot

1

5

Figuras y tablas -
Table Tests. Data tables by test