Evidence map›Paper›PMID 27695707›Full record

ArticleAlzheimer's & dementia (New York, N. Y.)2015

Using baseline cognitive severity for enriching Alzheimer's disease clinical trials: How does Mini-Mental State Examination predict rate of change?

Richard E Kennedy, Gary R Cutter, Guoqiao Wang, Lon S Schneider

Abstract read
In one paragraph

Article in Alzheimer's & dementia (New York, N. Y.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

18 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Cognitive Function Characterization Using Electronic Health Records Notes.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2021
    Article
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  10. Article
  11. Observational
  12. Article
  13. Article
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  15. Observational
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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

4 authors.

Richard E KennedyUniversity of Alabama, Birmingham, Birmingham, Alabama.
Gary R CutterUniversity of Alabama, Birmingham, Birmingham, Alabama.
Guoqiao WangUniversity of Alabama, Birmingham, Birmingham, Alabama.
Lon S SchneiderUniversity of Southern California Keck School of Medicine, Los Angeles, California.

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
TRIAL OF VALPROATE TO ATTENUATE THE PROGRESSION OF ADU01AG010483 · NIA · UNIVERSITY OF ROCHESTER · PI AISEN, PAUL S. · 1991 to 2012
$116.2M
VCID and Stroke in a Bi-racial National CohortU01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CUSHMAN, MARY, HOWARD, GEORGE · 2002 to 2022
$96.0M
VASCULAR RISK AND COGNITIVE STATUS IN A LATINO POPULATIONP50AG005142 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ARANDA, MARIA P. · 1985 to 2019
$41.0M
University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Kirk Michael Habegger · 2013 to 2026
$19.5M
UAB Diabetes Research and Training CenterP60DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GARVEY, W TIMOTHY · 2008 to 2012
$8.4M
MOBILITY AMONG OLDER AFRICAN AMERICANS AND WHITESR01AG015062 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BROWN, CYNTHIA J. · 1998 to 2014
$6.7M
UAB Statistical Genetics Post-Doctoral Training ProgramT32HL072757 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI TIWARI, HEMANT K. · 2003 to 2016
$3.8M
Synthesis of Longer-Term Alzheimer Disease Studies in Order to Model and ImproveR01AG037561 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SCHNEIDER, LON S · 2011 to 2013
$1.6M
NHLBI NIH HHS T32 HL072757NIA NIH HHS P50 AG005142NIA NIH HHS R01 AG015062NIA NIH HHS R01 AG037561NIA NIH HHS U01 AG010483NIA NIH HHS U01 AG024904NIDDK NIH HHS P30 DK079626NIDDK NIH HHS P60 DK079626NINDS NIH HHS U01 NS041588United States NIA
6 · The paper itself

Abstract

backgroundPost hoc analyses from clinical trials in Alzheimer's disease suggest more cognitively impaired participants respond differently from less impaired on cognitive outcomes. We examined pooled clinical trials data to assess the utility of enriching trials using baseline cognition.

methodsWe included 2,882 participants with mild to moderate AD in 7 studies from a meta-database. We used mixed effects models to estimate rate of decline in ADAS-cog scores among MMSE groups.

findingsBaseline MMSE category was associated with baseline scores and rate of decline on the ADAS-cog, adjusting for age and education (both p<0.001). Greater baseline cognitive impairment was associated with more rapid progression. INTERPRETATIONS: Although we found significant differences in rate of decline, the majority of differences between individuals were from baseline ADAS-cog values. Enrichment based on MMSE would reduce the recruitment pool while adding only slightly to detecting differences in rate of progression and is not advised.

Indexed as

Alzheimer diseaseAlzheimer’s Disease Assessment ScaleAlzheimer’s Disease Cooperative Study (ADCS)Alzheimer’s Disease Neuroimaging Initiative (ADNI)clinical trialsclinical trials and methodsMini-Mental State Examinationsimulations

Identifiers

PMID27695707
PMCPMC5040516

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.