Evidence map›Paper›PMID 25649210›Full record

ArticleBMJ open2015

Risk of developing multimorbidity across all ages in an historical cohort study: differences by sex and ethnicity.

Jennifer L St Sauver, Cynthia M Boyd, Brandon R Grossardt, William V Bobo, Lila J Finney Rutten, Véronique L Roger, Jon O Ebbert, Terry M Therneau, Barbara P Yawn, Walter A Rocca

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 145 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
145citing papers in PubMed, 6 pooled it
13.7field-weighted citation impact, top 1% 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

145 citing papers in PubMed, 6 syntheses or guidelines pooled it, 259 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Trial
  8. Trial
  9. Trial
  10. Trial
  11. Trial
  12. Article
  13. Review
  14. Article
  15. Article
  16. Observational
  17. Article
  18. Article
  19. Cellular and molecular mechanisms underlying cardiovascular aging.Cellular & molecular biology letters · 2025
    Review
  20. Review

85 more citing papers are in PubMed but not listed here.

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

10 authors at 3 institutions in 1 country.

Jennifer L St SauverDivision of Epidemiology, Department of Health Sciences Research, College of Medicine, Mayo Clinic, Rochester, Minnesota, USA The Robert D and Patricia E Kern Center for the Science of Health Care Delivery, College of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Cynthia M BoydDivision of Geriatric Medicine and Gerontology, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
Brandon R GrossardtDivision of Biomedical Statistics and Informatics, Department of Health Sciences Research, College of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
William V BoboDepartment of Psychiatry and Psychology, College of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Lila J Finney RuttenDivision of Epidemiology, Department of Health Sciences Research, College of Medicine, Mayo Clinic, Rochester, Minnesota, USA The Robert D and Patricia E Kern Center for the Science of Health Care Delivery, College of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Véronique L RogerDivision of Epidemiology, Department of Health Sciences Research, College of Medicine, Mayo Clinic, Rochester, Minnesota, USA The Robert D and Patricia E Kern Center for the Science of Health Care Delivery, College of Medicine, Mayo Clinic, Rochester, Minnesota, USA Division of Cardiovascular Diseases, Department of Internal Medicine, College of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Jon O EbbertThe Robert D and Patricia E Kern Center for the Science of Health Care Delivery, College of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Terry M TherneauDivision of Biomedical Statistics and Informatics, Department of Health Sciences Research, College of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Barbara P YawnDivision of Epidemiology, Department of Health Sciences Research, College of Medicine, Mayo Clinic, Rochester, Minnesota, USA Department of Research, Olmsted Medical Center, Rochester, Minnesota, USA.
Walter A RoccaDivision of Epidemiology, Department of Health Sciences Research, College of Medicine, Mayo Clinic, Rochester, Minnesota, USA Department of Neurology, College of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Mayo Clinic · USMayo Clinic in Arizona · USJohns Hopkins Medicine · US

Funding

Rochester Epidemiology ProjectR01AG034676 · NIA · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A, ST SAUVER, JENNIFER LYNN · 2010 to 2019
$9.5M
Treatment Burden in Older Adults with Diabetes and MultimorbidityK23AG032910 · NIA · JOHNS HOPKINS UNIVERSITY · PI BOYD, CYNTHIA MELINDA · 2009 to 2013
$533k
NIA NIH HHS K23 AG032910NIA NIH HHS R01 AG034676NIA NIH HHS R01AG034676
6 · The paper itself

Abstract

objectiveTo study the incidence of de novo multimorbidity across all ages in a geographically defined population with an emphasis on sex and ethnic differences.

designHistorical cohort study.

settingAll persons residing in Olmsted County, Minnesota, USA on 1 January 2000 who had granted permission for their records to be used for research (n=123 716).

participantsWe used the Rochester Epidemiology Project medical records-linkage system to identify all of the county residents. We identified and removed from the cohort all persons who had developed multimorbidity before 1 January 2000 (baseline date), and we followed the cohort over 14 years (1 January 2000 through 31 December 2013).

main outcome measuresIncident multimorbidity was defined as the development of the second of 2 conditions (dyads) from among the 20 chronic conditions selected by the US Department of Health and Human Services. We also studied the incidence of the third of 3 conditions (triads) from among the 20 chronic conditions.

resultsThe incidence of multimorbidity increased steeply with older age; however, the number of people with incident multimorbidity was substantially greater in people younger than 65 years compared to people age 65 years or older (28 378 vs 6214). The overall risk was similar in men and women; however, the combinations of conditions (dyads and triads) differed extensively by age and by sex. Compared to Whites, the incidence of multimorbidity was higher in Blacks and lower in Asians.

conclusionsThe risk of developing de novo multimorbidity increases steeply with older age, varies by ethnicity and is similar in men and women overall. However, as expected, the combinations of conditions vary extensively by age and sex. These data represent an important first step toward identifying the causes and the consequences of multimorbidity.

Indexed as

ComorbidityEthnicityAdolescentAdultAgedAge FactorsAsian PeopleBlack or African AmericanBlack PeopleChild, PreschoolChronic DiseaseFemaleHumansIncidenceInfantInfant, NewbornEPIDEMIOLOGYGENERAL MEDICINE (see Internal Medicine)GERIATRIC MEDICINEPREVENTIVE MEDICINEPRIMARY CARE

Identifiers

PMID25649210
PMCPMC4322195
OpenAlexW2048353385

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.