Evidence map›Paper›PMID 38405341›Full record

SynthesisJournal of Alzheimer's disease reports2024

Prognostic and Predictive Factors in Early Alzheimer's Disease: A Systematic Review.

Maria João Garcia, Regina Leadley, Janine Ross, Sasha Bozeat, Gabrielle Redhead, Oskar Hansson, Takeshi Iwatsubo, Nicolas Villain, Jeffrey Cummings

Open access · diamondAbstract readSystematic Review
In one paragraph

Synthesis in Journal of Alzheimer's disease reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
8.1field-weighted citation impact, top 2% 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

15 citing papers in PubMed, 21 citations in OpenAlex.

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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

9 authors at 6 institutions in 6 countries.

Maria João GarciaF. Hoffmann-La Roche, Ltd., Basel, Switzerland.
Regina LeadleyMtech Access Ltd, IT Centre, Innovation Way, Heslington, York, UK.
Janine RossMtech Access Ltd, IT Centre, Innovation Way, Heslington, York, UK.
Sasha BozeatF. Hoffmann-La Roche, Ltd., Basel, Switzerland.
Gabrielle RedheadMtech Access Ltd, IT Centre, Innovation Way, Heslington, York, UK.
Oskar HanssonClinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden.
Takeshi IwatsuboThe University of Tokyo, Tokyo, Japan.
Nicolas VillainAP-HP Sorbonne Université, Pitié-Salpêtrière Hospital, Department of Neurology, Institute of Memory and Alzheimer's Disease, Paris, France.
Jeffrey CummingsChambers-Grundy Center for TransformativeNeuroscience, Department of Brain Health, School of IntegratedHealth Sciences, University of Nevada Las Vegas, Las Vegas, NV, USA.
Kentech Instruments (United Kingdom) · GBRoche (Switzerland) · CHAssistance Publique – Hôpitaux de Paris · FRLund University · SEThe University of Tokyo · JPUniversity of Nevada, Las Vegas · US

Funding

Alzheimer's Clinical Trial InnOvatioN (ACTION) InitiativeR35AG071476 · NIA · UNIVERSITY OF NEVADA LAS VEGAS · PI CUMMINGS, JEFFREY L. · 2021 to 2025
$2.9M
NIA NIH HHS R35 AG071476
6 · The paper itself

Abstract

Background: Alzheimer's disease (AD) causes progressive decline of cognition and function. There is a lack of systematic literature reviews on prognostic and predictive factors in its early clinical stages (eAD), i.e., mild cognitive impairment due to AD and mild AD dementia. Objective: To identify prognostic factors affecting eAD progression and predictive factors for treatment efficacy and safety of approved and/or under late-stage development disease-modifying treatments. Methods: Databases were searched (August 2022) for studies reporting prognostic factors associated with eAD progression and predictive factors for treatment response. The Quality in Prognostic Factor Studies tool or the Cochrane risk of bias tool were used to assess risk of bias. Two reviewers independently screened the records. A single reviewer performed data extraction and quality assessment. A second performed a 20% check. Content experts reviewed and interpreted the data collected. Results: Sixty-one studies were included. Self-reporting, diagnosis definition, and missing data led to high risk of bias. Population size ranged from 110 to 11,451. Analyses found data indicating that older age was and depression may be associated with progression. Greater baseline cognitive impairment was associated with progression. Conclusions: Age was the strongest risk factor for progression. Biomarkers were associated with progression, supporting their use in trial selection and aiding diagnosis. Baseline cognitive impairment was a prognostic factor.

Indexed as

Alzheimer’s diseasecognitive dysfunctionprognosisreview

Identifiers

PMID38405341
PMCPMC10894607
OpenAlexW4391942062

What Socratic 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 Socratic graph.