Evidence map›Paper›PMID 31917465›Full record

ArticleJournal of the American Geriatrics Society2020

Multimorbidity in Medicare Beneficiaries: Performance of an ICD-Coded Multimorbidity-Weighted Index.

Melissa Y Wei, David Ratz, Kenneth J Mukamal

Abstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Validating ICD code case definitions for condition case ascertainment in multimorbidity measurement: a retrospective chart review.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
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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

3 authors.

Melissa Y WeiDivision of General Medicine, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0001-5093-6040
David RatzCenter for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan.
Kenneth J MukamalDivision of General Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Brookline, Massachusetts.

Funding

Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Neil Alexander · 2004 to 2026
$29.2M
Cumulative and Synergistic Impact of Chronic Diseases on Physical Functioning in Older Adults: Development and Validation of a Novel Measure of MultimorbidityK23AG056638 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WEI, MELISSA · 2017 to 2022
$1.0M
NIA NIH HHS K23 AG056638NIA NIH HHS P30 AG024824NIH HHS
6 · The paper itself

Abstract

objectivesMost older adults have multimorbidity that impairs physical functioning, but it is difficult to quantify using claims data. We previously developed and validated a multimorbidity-weighted index (MWI) that embeds physical functioning through disease weightings. We mapped these conditions to International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes and compared them with existing indices.

designPopulation-based prospective cohort.

settingRespondents to the 2006-2016 waves of the Health and Retirement Study (HRS) with linked Medicare claims data and continuous enrollment in 2006.

participantsCommunity-dwelling Medicare-eligible HRS participants (N = 9923; mean age = 75.5 ± 8.5 y). MEASUREMENTS: Individuals were followed for future physical functioning (2006-2014) and mortality (2007-2016). MWI conditions were mapped to ICD-9-CM codes to produce an ICD-coded MWI (MWI-ICD). We compared MWI-ICD, simple disease count, Charlson, Elixhauser, and the health-related quality of life comorbidity index (HRQOL-CI) through distributions, hazard ratios for mortality, and relationships with future physical functioning.

resultsMWI-ICD exhibited the broadest distribution and most unique values (5891). Left censoring was most pronounced for Charlson (34.3% score = 0) and Elixhauser (13.1% score = 0) vs MWI (5.0% score = 0). Hazard ratios and concordance (C)-statistics for mortality across extreme quartiles were similar for MWI-ICD, Elixhauser, and Charlson but lower for disease count and the HRQOL-CI. For physical functioning, MWI-ICD yielded the greatest contrast across extreme quartiles and overall coefficient of determination (R

conclusionMWI-ICD was significantly associated with mortality and future physical functioning and comparable with established metrics for mortality prediction although not weighted to mortality. MWI-ICD successfully captures diseases accumulation and functioning in claims data. J Am Geriatr Soc 68:999-1006, 2020.

Indexed as

MortalityMultimorbidityPhysical Functional PerformanceAgedAged, 80 and overFemaleHealth SurveysHumansInternational Classification of DiseasesLongitudinal StudiesMaleMedicareProspective StudiesQuality of LifeUnited Statesadministrative claims datacomorbidityMedicaremultimorbidityphysical functioning

Identifiers

PMID31917465
PMCPMC7234913

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.