Evidence map›Paper›PMID 29572656›Full record

ArticleEuropean journal of epidemiology2018

The importance of endpoint selection: How effective does a drug need to be for success in a clinical trial of a possible Alzheimer's disease treatment?

Stephanie Evans, Kevin McRae-McKee, Mei Mei Wong, Christoforos Hadjichrysanthou, Frank De Wolf, Roy Anderson

Open access · hybridAbstract read
In one paragraph

Article in European journal of epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 11% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
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  14. Identifying Sensitive Measures of Cognitive Decline at Different Clinical Stages of Alzheimer's Disease.Journal of the International Neuropsychological Society : JINS · 2021
    Article
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  20. Broadening the scope of epidemiologic dementia research.European journal of epidemiology · 2018
    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

6 authors at 2 institutions in 2 countries.

Stephanie EvansDepartment of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK. s.evans@imperial.ac.uk.ORCID http://orcid.org/0000-0002-2345-5249
Kevin McRae-McKeeDepartment of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK.
Mei Mei WongDepartment of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK.
Christoforos HadjichrysanthouDepartment of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK.
Frank De WolfDepartment of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK.
Roy AndersonDepartment of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK.
Imperial College London · GBJanssen (Netherlands) · NL

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

To date, Alzheimer's disease (AD) clinical trials have been largely unsuccessful. Failures have been attributed to a number of factors including ineffective drugs, inadequate targets, and poor trial design, of which the choice of endpoint is crucial. Using data from the Alzheimer's Disease Neuroimaging Initiative, we have calculated the minimum detectable effect size (MDES) in change from baseline of a range of measures over time, and in different diagnostic groups along the AD development trajectory. The Functional Activities Questionnaire score had the smallest MDES for a single endpoint where an effect of 27% could be detected within 3 years in participants with Late Mild Cognitive Impairment (LMCI) at baseline, closely followed by the Clinical Dementia Rating Sum of Boxes (CDRSB) score at 28% after 2 years in the same group. Composite measures were even more successful than single endpoints with an MDES of 21% in 3 years. Using alternative cognitive, imaging, functional, or composite endpoints, and recruiting patients that have LMCI could improve the success rate of AD clinical trials.

Indexed as

Alzheimer DiseaseBrainCognitionHumansMagnetic Resonance ImagingNeuroimagingTreatment OutcomeAlzheimer’s diseaseClinical trialsLongitudinal data analysis

Identifiers

PMID29572656
PMCPMC6061129
OpenAlexW2790584611

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.