Evidence map›Paper›PMID 33741663›Full record

ArticleBMJ open2021

Multimorbidity, ageing and mortality: normative data and cohort study in an American population.

Walter A Rocca, Brandon R Grossardt, Cynthia M Boyd, Alanna M Chamberlain, William V Bobo, Jennifer L St Sauver

Abstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Multimorbidity in Atrial Fibrillation: Impact on Outcomes.Journal of the American Heart Association · 2026
    Article
  3. Article
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  10. Inflammatory biomarkers, multi-morbidity, and biologic aging.The Journal of international medical research · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Convergence of four measures of multi-morbidity.Journal of multimorbidity and comorbidity
    Article
  15. Article
  16. 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

6 authors.

Walter A RoccaDivision of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA rocca@mayo.edu.ORCID http://orcid.org/0000-0002-1832-7664
Brandon R GrossardtDivision of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.
Cynthia M BoydDivision of Geriatric Medicine and Gerontology, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
Alanna M ChamberlainDivision of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.
William V BoboDepartment of Psychiatry and Psychology, Mayo Clinic, Jacksonville, Florida, USA.
Jennifer L St SauverDivision of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.ORCID http://orcid.org/0000-0002-9789-8544

Funding

SUPPLEMENT TO ALZHEIMERS DISEASE PATIENT REGISTRYU01AG006786 · NIA · MAYO CLINIC ROCHESTER · PI GRAFF-RADFORD, JONATHAN, JACK, CLIFFORD R. · 1986 to 2023
$49.6M
SEX STEROIDS, GROWTH FACTORS, &BONE CELL FUNCTIONP01AG004875 · NIA · MAYO CLINIC ROCHESTER · PI MONROE, DAVID G · 1985 to 2019
$30.8M
Rochester Epidemiology ProjectR01AG034676 · NIA · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A, ST SAUVER, JENNIFER LYNN · 2010 to 2019
$9.5M
Sex-Specific Effects of Endocrine Disruption on Aging and Alzheimer's DiseaseU54AG044170 · NIA · MAYO CLINIC ROCHESTER · PI KAPOOR, EKTA · 2018 to 2022
$7.7M
Multiple Chronic Conditions and AgingR01AG052425 · NIA · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A, ST SAUVER, JENNIFER LYNN · 2017 to 2021
$3.3M
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR33AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2020 to 2022
$2.4M
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR21AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2018 to 2019
$437k
NIA NIH HHS P01 AG004875NIA NIH HHS R01 AG034676NIA NIH HHS R01 AG052425NIA NIH HHS R21 AG058738NIA NIH HHS R33 AG058738NIA NIH HHS U01 AG006786NIA NIH HHS U54 AG044170
6 · The paper itself

Abstract

objectivesTo describe the percentile distribution of multimorbidity across age by sex, race and ethnicity, and to demonstrate the utility of multimorbidity percentiles to predict mortality.

designPopulation-based descriptive study and cohort study.

settingOlmsted County, Minnesota (USA).

participantsWe used the medical records-linkage system of the Rochester Epidemiology Project (REP; http://www.rochesterproject.org) to identify all residents of Olmsted County, Minnesota who reached one or more birthdays between 1 January 2005 and 31 December 2014 (10 years).

methodsFor each person, we obtained the count of chronic conditions (out of 20 conditions) present on each birthday by extracting all of the diagnostic codes received in the 5 years before the index birthday from the electronic indexes of the REP. To compare each person's count to peers of same age, the counts were transformed into percentiles of the total population and displayed graphically across age by sex, race and ethnicity. In addition, quintiles 1, 2, 4 and 5 were compared with quintile 3 (reference) to predict the risk of death at 1 year, 5 years and through end of follow-up using time-to-event analyses. Follow-up was passive using the REP.

resultsWe identified 238 010 persons who experienced a total of 1 458 094 birthdays during the study period (median of 6 birthdays per person; IQR 3-10). The percentiles of multimorbidity across age did not vary noticeably by sex, race or ethnicity. In general, there was an increased risk of mortality at 1 and 5 years for quintiles 4 and 5 of multimorbidity. The risk of mortality for quintile 5 was greater for younger age groups and for women.

conclusionsThe assignment of multimorbidity percentiles to persons in a population may be a simple and intuitive tool to assess relative health status, and to predict short-term mortality, especially in younger persons and in women.

Indexed as

AgingMultimorbidityChronic DiseaseCohort StudiesFemaleHumansMaleMinnesotaUnited Statesepidemiologygeneral medicine (see internal medicine)geriatric medicinestatistics & research methods

Identifiers

PMID33741663
PMCPMC7986688

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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.