Evidence map›Paper›PMID 29689725›Full record

SynthesisJournal of Alzheimer's disease : JAD2018

A Systematic Review and Aggregated Analysis on the Impact of Amyloid PET Brain Imaging on the Diagnosis, Diagnostic Confidence, and Management of Patients being Evaluated for Alzheimer's Disease.

Enrico R Fantoni, Anastasia Chalkidou, John T O' Brien, Gill Farrar, Alexander Hammers

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of Alzheimer's disease : JAD, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 3 pooled it
5.5field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 3 syntheses or guidelines pooled it, 66 citations in OpenAlex.

  1. Outcomes of clinical utility in amyloid-PET studies: state of art and future perspectives.European journal of nuclear medicine and molecular imaging · 2021
    Pooled it
  2. Pooled it
  3. Recommendations of the 5th Canadian Consensus Conference on the diagnosis and treatment of dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2020
    Guideline
  4. Trial
  5. Article
  6. Article
  7. Amyloid PET and clinical management in a diverse, cognitively impaired population: The New IDEAS Study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Observational
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. A comparison of advanced semi-quantitative amyloid PET analysis methods.European journal of nuclear medicine and molecular imaging · 2022
    Article
  16. Quantification of amyloid PET for future clinical use: a state-of-the-art review.European journal of nuclear medicine and molecular imaging · 2022
    Review
  17. Article
  18. Review
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Enrico R FantoniGE Healthcare, Life Sciences, Amersham, UK.
Anastasia ChalkidouKing's Technology Evaluation Centre (KiTEC), London, UK.
John T O' BrienDepartment of Psychiatry, University of Cambridge, UK.
Gill FarrarGE Healthcare, Life Sciences, Amersham, UK.
Alexander HammersGuy's and St Thomas' NHS Foundation Trust, London, UK; King's College London and Guy's and St Thomas' PET Centre, School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, UK.
Guy's and St Thomas' NHS Foundation Trust · GBKing's College Hospital · GBUniversity of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmyloid PET (aPET) imaging could improve patient outcomes in clinical practice, but the extent of impact needs quantification.

objectiveTo provide an aggregated quantitative analysis of the value added by aPET in cognitively impaired subjects.

methodsSystematic literature searches were performed in Embase and Medline until January 2017. 1,531 cases over 12 studies were included (1,142 cases over seven studies in the primary analysis where aPET was the key biomarker; the remaining cases included as defined groups in the secondary analysis). Data was abstracted by consensus among two observers and assessed for bias. Clinical utility was measured by diagnostic change, diagnostic confidence, and patient management before and after aPET. Three groups were further analyzed: control patients for whom feedback of aPET scan results was delayed; aPET Appropriate Use Criteria (AUC+) cases; and patients undergoing additional FDG/CSF testing.

resultsFor 1,142 cases with only aPET, 31.3% of diagnoses were revised, whereas 3.2% of diagnoses changed in the delayed aPET control group (p < 0.0001). Increased diagnostic confidence following aPET was found for 62.1% of 870 patients. Management changes with aPET were found in 72.2% of 740 cases and in 55.5% of 299 cases in the control group (p < 0.0001). The diagnostic value of aPET in AUC+ patients or when FDG/CSF were additionally available did not substantially differ from the value of aPET alone in the wider population.

conclusionsAmyloid PET contributed to diagnostic revision in almost a third of cases and demonstrated value in increasing diagnostic confidence and refining management plans.

Indexed as

Positron-Emission TomographyAlzheimer DiseaseAmyloidBrainCognitive DysfunctionHumansAmyloidAlzheimer’s diseaseamyloid PETdementiadiagnostic confidencedifferential diagnosisimpactpatient managementquantitativesystematic reviewutility

Identifiers

PMID29689725
PMCPMC5929301
OpenAlexW2803066492

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.