Evidence map›Paper›PMID 31473124›Full record

ArticleAnnals of epidemiology2019

Personalized and typical concurrent risk of limitations in social activity and mobility in older persons with multiple chronic conditions and polypharmacy.

Terrence E Murphy, Gail J McAvay, George O Agogo, Heather G Allore

Open access · greenAbstract read
In one paragraph

Article in Annals of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
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 at 1 institution in 1 country.

Terrence E MurphyDepartment of Internal Medicine, Section of Geriatrics, Yale School of Medicine, New Haven, CT; Department of Biostatistics, Yale School of Public Health, New Haven, CT.
Gail J McAvayDepartment of Internal Medicine, Section of Geriatrics, Yale School of Medicine, New Haven, CT.
George O AgogoDepartment of Internal Medicine, Section of Geriatrics, Yale School of Medicine, New Haven, CT.
Heather G AlloreDepartment of Internal Medicine, Section of Geriatrics, Yale School of Medicine, New Haven, CT; Department of Biostatistics, Yale School of Public Health, New Haven, CT. Electronic address: heather.allore@yale.edu.
Yale University · US

Funding

Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Lauren Ferrante · 2002 to 2026
$37.9M
Individualized Absolute Risk calculator For Persons With Multiple Chronic ConditionsR01AG047891 · NIA · YALE UNIVERSITY · PI ALLORE, HEATHER GWYNN · 2015 to 2017
$990k
NIA NIH HHS P30 AG021342NIA NIH HHS R01 AG047891
6 · The paper itself

Abstract

purposeWe define personalized concurrent risk (PCR) as the subject-specific probability of an index outcome within a defined interval of time, while currently at risk for a separate outcome, where the outcomes are not mutually exclusive and can be jointly modeled with a shared random intercept. We further define typical concurrent risk as the risk obtained by setting the random intercept to null.

methodsDrawing data from the Medical Expenditure Panel Survey (cohorts 2008-2013), we jointly model limitations in social activity and mobility over two years among older community-dwelling persons with both hypertension and chronic obstructive pulmonary disease. The joint model uses inverse probability of treatment weighting based on each participant's baseline propensity of polypharmacy (≥5 classes of medication).

resultsEven among participants with the same covariates, older persons with multiple chronic conditions exhibit wide-ranging heterogeneity of the treatment effect from polypharmacy, a risk factor for negative health outcomes among older persons. The magnitude of the PCRs is dominated by the value of the subject-specific random effect.

conclusionsEstimates of PCR and typical concurrent risk can be calculated from national or institutional data sets and may facilitate the practice of personalized care for older patients with multiple chronic conditions.

Indexed as

Mobility LimitationPolypharmacySocial ParticipationAgedAged, 80 and overAge FactorsArthritisChronic DiseaseFemaleHumansHypertensionMaleMultiple Chronic ConditionsPulmonary Disease, Chronic ObstructiveRisk FactorsSex FactorsInverse probability of treatment weightingJoint modelingLongitudinal analysisPersonalized concurrent riskTypical concurrent risk

Identifiers

PMID31473124
PMCPMC6755051
OpenAlexW2967731484

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.