Evidence map›Paper›PMID 29972592›Full record

ArticleJournal of the American Geriatrics Society2018

Trajectories of Relative Performance with 2 Measures of Global Cognitive Function.

Mark A Espeland, Jiu-Chiuan Chen, Julie Weitlauf, Kathleen M Hayden, Stephen R Rapp, Susan M Resnick, Lorena Garcia, Brad Cannell, Laura D Baker, Bonnie C Sachs and 4 more

Abstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2018. 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
–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

9 citing papers in PubMed.

  1. Article
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  3. Review
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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

14 authors.

Mark A EspelandDepartment of Biostatistical Sciences, School of Medicine, Wake Forest University, Winston-Salem, North Carolina.
Jiu-Chiuan ChenDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California.
Julie WeitlaufDepartment of Veterans Affairs, Palo Alto Health Care System, Stanford, California.
Kathleen M HaydenDepartment of Social Sciences and Health Policy, School of Medicine, Wake Forest University, Winston-Salem, North Carolina.
Stephen R RappDepartment of Social Sciences and Health Policy, School of Medicine, Wake Forest University, Winston-Salem, North Carolina.
Susan M ResnickLaboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, Maryland.
Lorena GarciaDepartment of Public Health Sciences, University of California at Davis, Davis, California.
Brad CannellDepartment of Biostatistics and Epidemiology, University of North Texas Health Science Center, Fort Worth, Texas.
Laura D BakerDivision of Geriatrics Department of Internal Medicine, School of Medicine, Wake Forest University, Winston-Salem, North Carolina.
Bonnie C SachsDivision of Geriatrics Department of Internal Medicine, School of Medicine, Wake Forest University, Winston-Salem, North Carolina.
Hilary A TindleDepartment of Medicine, Vanderbilt University, Nashville, Tennessee.
Robert WallaceSchool of Public Health, University of Iowa, Iowa City, Iowa.
Ramon CasanovaDepartment of Biostatistical Sciences, School of Medicine, Wake Forest University, Winston-Salem, North Carolina.
Women's Health Initiative Memory Study Magnetic Resonance Imaging Study Group

Funding

Wake Forest Alzheimer's Disease Core CenterP30AG049638 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ESPELAND, MARK ANDREW · 2016 to 2020
$12.2M
Environmental Determinants of Pathological Brain Aging in WHI Memory StudiesR01ES025888 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHEN, JIU-CHIUAN, KAUFMAN, JOEL DANIEL · 2016 to 2020
$3.2M
Women's Health Initiative Suite of Studies - Extension StudyZIAAG000190 · NIA · NATIONAL INSTITUTE ON AGING · PI RESNICK, SUSAN · 2009 to 2024
$1.5M
Regional Neurotoxicity & Early Biomarkers of Air Pollution Effects on Brain AgingR21AG051113 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI CASANOVA, RAMON, CHEN, JIU-CHIUAN · 2015 to 2016
$447k
NIA NIH HHS P30 AG049638NIA NIH HHS R21 AG051113NIEHS NIH HHS R01 ES025888NIH HHS 1 R21 AG051113NIH HHS HHSN268201600004CNIH HHS NIA Contract HHSN271201700002C.NIH HHS P30 AG049638-01A1WHI NIH HHS HHSN268201100004CWHI NIH HHS N01 WH044221
6 · The paper itself

Abstract

objectivesTo examine whether trajectories of global cognitive function over time in studies that change assessment protocols may be modeled based on an individual's performance relative to others in the study cohort.

designExtended follow-up of a cohort originally enrolled in a clinical trial of postmenopausal hormone therapy.

settingThe Women's Health Initiative Memory Study switched from an in-person interview with the Modified Mini-Mental State Examination to a telephone-based interview with the modified Telephone Interview for Cognitive Status to assess global cognitive function over long-term follow-up.

participantsWomen aged 75 to 92 (N=2,561). MEASUREMENTS: Annual cognitive assessments from participants, ranked according to age-, race- and ethnicity-adjusted performance levels, were used to identify distinct trajectories. Participants assigned to the resulting trajectories were compared for selected risk factor profiles.

resultsOur approach grouped participants into five trajectories according to relative cognitive performance over time. These groups differed significantly according to 3 known risk factors for cognitive decline-education level, apolipoprotein E-ϵ4 genotype, and type 2 diabetes mellitus-and a biomarker based on brain structure that has been linked to cognitive decline and Alzheimer's disease. Participants with consistently low relative levels of cognitive function over time and those whose relative performance over time declined to these levels tended to have poorer risk factor profiles.

conclusionLongitudinal measures of an individual's relative performance on different assessment protocols for global cognitive function can be used to identify trajectories of change over time that appear to have internal validity with respect to known risk factors.

Indexed as

Time FactorsAgedAged, 80 and overCognitionCohort StudiesFemaleFollow-Up StudiesGeriatric AssessmentHumansLongitudinal StudiesMental Status and Dementia TestsPostmenopauseReproducibility of Resultsassessment modalitiesglobal cognitive functionlongitudinal trajectoriesrisk factors

Identifiers

PMID29972592
PMCPMC6167188

What OpenQuestion holds

Textmetadata
LicenceTDM
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.