Evidence map›Paper›PMID 35927250›Full record

Articlenpj aging2022

Free-living wrist and hip accelerometry forecast cognitive decline among older adults without dementia over 1- or 5-years in two distinct observational cohorts.

Chengjian Shi, Niser Babiker, Jacek K Urbanek, Robert L Grossman, Megan Huisingh-Scheetz, Andrey Rzhetsky

Open access · hybridAbstract read
In one paragraph

Article in npj aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Observational
  4. Article
  5. Article
  6. Article
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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 2 institutions in 1 country.

Chengjian ShiPritzker School for Molecular Engineering, University of Chicago, Chicago, IL, 60637, USA.
Niser BabikerDepartment of Medicine, University of Chicago, Chicago, IL, 60637, USA.ORCID http://orcid.org/0000-0002-1702-3597
Jacek K UrbanekDepartment of Medicine, Johns Hopkins University, Baltimore, MD, 21287, USA.ORCID http://orcid.org/0000-0002-1890-8899
Robert L GrossmanDepartment of Medicine, University of Chicago, Chicago, IL, 60637, USA.ORCID http://orcid.org/0000-0003-3741-5739
Megan Huisingh-ScheetzDepartment of Medicine, University of Chicago, Chicago, IL, 60637, USA. megan.huisingh-scheetz@uchospitals.edu.ORCID http://orcid.org/0000-0002-3997-5791
Andrey RzhetskyDepartment of Medicine, University of Chicago, Chicago, IL, 60637, USA. andrey.rzhetsky@uchicago.edu.ORCID http://orcid.org/0000-0001-6959-7405
University of Chicago · USJohns Hopkins University · US

Funding

National Social Life, Health and Aging: Wave 4R01AG043538 · NIA · NATIONAL OPINION RESEARCH CENTER · PI LINDA J WAITE · 2013 to 2026
$42.7M
Modeling the temporal succession of phenotypes & environnnental cuesP50MH094267 · NIMH · UNIVERSITY OF CHICAGO · PI RZHETSKY, ANDREY · 2011 to 2015
$10.2M
MAPGen Knowledge Base (MAPGenKB) and Coordination CenterU01HL108634 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CRANDALL, EDWARD DAVID, ZHOU, XIANGHONG JASMINE · 2011 to 2015
$5.3M
Mendelian Disease - Asthma Comorbidity to Find Subgroup-Specific Asthma GenesR01HL122712 · NHLBI · UNIVERSITY OF CHICAGO · PI OBER, CAROLE, RZHETSKY, ANDREY · 2015 to 2018
$3.1M
Cultivating Health & Aging Researchers by Integrating Science, Medicine & Aging - ResubmissionR25AG060910 · NIA · UNIVERSITY OF CHICAGO · PI DAVID O MELTZER · 2019 to 2026
$2.1M
Early Frailty Biomarkers: Patterns of Activity and Energy ExpenditureK23AG049106 · NIA · UNIVERSITY OF CHICAGO · PI HUISINGH-SCHEETZ, MEGAN J · 2016 to 2021
$924k
NHLBI NIH HHS R01 HL122712NHLBI NIH HHS U01 HL108634NIA NIH HHS K23 AG049106NIA NIH HHS R01 AG043538NIA NIH HHS R25 AG060910NIMH NIH HHS P50 MH094267
6 · The paper itself

Abstract

The prevalence of major neurocognitive disorders is expected to rise over the next 3 decades as the number of adults ≥65 years old increases. Noninvasive screening capable of flagging individuals most at risk of subsequent cognitive decline could trigger closer monitoring and preventive strategies. In this study, we used free-living accelerometry data to forecast cognitive decline within 1- or 5-years in older adults without dementia using two cohorts. The first cohort, recruited in the south side of Chicago, wore hip accelerometers for 7 continuous days. The second cohort, nationally recruited, wore wrist accelerometers continuously for 72 h. Separate classifier models forecasted 1-year cognitive decline with over 85% accuracy using hip data and forecasted 5-year cognitive decline with nearly 70% accuracy using wrist data, significant improvements compared to demographics and comorbidities alone. The proposed models are readily translatable to clinical practices serving ageing populations.

Identifiers

PMID35927250
PMCPMC9170733
OpenAlexW4281703535

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.