Evidence map›Paper›PMID 38405343›Full record

ArticleJournal of Alzheimer's disease reports2024

ADSS: A Composite Score to Detect Disease Progression in Alzheimer's Disease.

Guogen Shan, Xinlin Lu, Zhigang Li, Jessica Z K Caldwell, Charles Bernick, Jeffrey Cummings

Open access · diamondAbstract read
In one paragraph

Article 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
12.4field-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

9 citing papers in PubMed, 11 citations in OpenAlex.

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  6. Sample size determination for a study with variable follow-up time.Journal of biopharmaceutical statistics · 2025
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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

6 authors at 3 institutions in 1 country.

Guogen ShanDepartment of Biostatistics, University of Florida, Gainesville, FL, USA.
Xinlin LuDepartment of Biostatistics, University of Florida, Gainesville, FL, USA.
Zhigang LiDepartment of Biostatistics, University of Florida, Gainesville, FL, USA.
Jessica Z K CaldwellCleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, USA.
Charles BernickCleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, USA.
Jeffrey CummingsDepartment of Brain Health, School of Integrated Health Sciences, Chambers-Grundy Center for Transformative Neuroscience, University of Nevada Las Vegas (UNLV) Las Vegas, NV, USA.
University of Florida · USCleveland Clinic · USUniversity 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
Alzheimer's Disease: New Trial Designs for Emerging ChallengesR01AG070849 · NIA · UNIVERSITY OF NEVADA LAS VEGAS · PI SHAN, GUOGEN · 2021 to 2025
$1.5M
Application of deep learning and novel survival models to predict MCI-to-AD dementia progressionR03AG083207 · NIA · UNIVERSITY OF FLORIDA · PI SHAN, GUOGEN · 2023 to 2024
$164k
Adaptive randomized designs for cancer clinical trials by using integer algorithms and exact Monte Carlo methodsR03CA248006 · NCI · UNIVERSITY OF FLORIDA · PI SHAN, GUOGEN · 2021 to 2022
$153k
NCI NIH HHS R03 CA248006NIA NIH HHS R01 AG070849NIA NIH HHS R03 AG083207NIA NIH HHS R35 AG071476
6 · The paper itself

Abstract

Background: Composite scores have been increasingly used in trials for Alzheimer's disease (AD) to detect disease progression, such as the AD Composite Score (ADCOMS) in the lecanemab trial. Objective: To develop a new composite score to improve the prediction of outcome change. Methods: We proposed to develop a new composite score based on the statistical model in the ADCOMS, by removing duplicated sub-scales and adding the model selection in the partial least squares (PLS) regression. Results: The new Conclusions: ADSS can be utilized in AD trials to improve the success rate of drug development with a high sensitivity to detect disease progression in early stages.

Indexed as

ADCOMSAlzheimer’s diseasecognitive outcomecomposite scoremild cognitive impairmentmodel selection

Identifiers

PMID38405343
PMCPMC10894615
OpenAlexW4391954138

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.