Evidence map›Paper›PMID 31753902›Full record

ArticleBMJ open2019

Existing comorbidities in people with osteoarthritis: a retrospective analysis of a population-based cohort in Alberta, Canada.

Deborah A Marshall, Xiaoxiao Liu, Cheryl Barnabe, Karen Yee, Peter D Faris, Claire Barber, Dianne Mosher, Thomas Noseworthy, Jason Werle, Lisa Lix

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

30 citing papers in PubMed, 83 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors at 3 institutions in 1 country.

Deborah A MarshallDepartment of Community Health Sciences, University of Calgary, Cumming School of Medicine, Calgary, Alberta, Canada damarsha@ucalgary.ca.ORCID 0000-0002-8467-8008
Xiaoxiao LiuDepartment of Community Health Sciences, University of Calgary, Cumming School of Medicine, Calgary, Alberta, Canada.
Cheryl BarnabeDepartment of Community Health Sciences, University of Calgary, Cumming School of Medicine, Calgary, Alberta, Canada.
Karen YeeResearch Facilitation, Alberta Health Services, Calgary, Alberta, Canada.
Peter D FarisResearch Facilitation, Alberta Health Services, Calgary, Alberta, Canada.
Claire BarberDepartment of Community Health Sciences, University of Calgary, Cumming School of Medicine, Calgary, Alberta, Canada.
Dianne MosherDepartment of Medicine, University of Calgary, Cumming School of Medicine, Calgary, Alberta, Canada.
Thomas NoseworthyDepartment of Community Health Sciences, University of Calgary, Cumming School of Medicine, Calgary, Alberta, Canada.
Jason WerleDepartment of Surgery, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada.
Lisa LixDepartment of Community Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada.
University of Calgary · CAAlberta Health Services · CAUniversity of Manitoba · CA

Funding

CIHR 126128
6 · The paper itself

Abstract

objectivesThe purpose of this study is to estimate the prevalence of comorbidities among people with osteoarthritis (OA) using administrative health data.

designRetrospective cohort analysis.

settingAll residents in the province of Alberta, Canada registered with the Alberta Health Care Insurance Plan population registry.

participants497 362 people with OA as defined by 'having at least one OA-related hospitalization, or at least two OA-related physician visits or two ambulatory care visits within two years'. PRIMARY OUTCOME MEASURES: We selected eight comorbidities based on literature review, clinical consultation and the availability of validated case definitions to estimate their frequencies at the time of diagnosis of OA. Sex-stratified age-standardised prevalence rates per 1000 population of eight clinically relevant comorbidities were calculated using direct standardisation with 95% CIs. We applied χ

results54.6% (n=2 71 794) of people meeting the OA case definition had at least one of the eight selected comorbidities. Females had a significantly higher rate of comorbidities compared with males (standardised rates ratio=1.26, 95% CI 1.25 to 1.28). Depression, chronic obstructive pulmonary disease (COPD) and hypertension were the most prevalent in both females and males after age-standardisation, with 40% of all cases having any combination of these comorbidities. We observed a significant difference in the percentage of comorbidities among age groups, illustrated by the youngest age group (<45 years) having the highest percentage of cases with depression (24.6%), compared with a frequency of 16.1% in those >65 years.

conclusionsOur findings highlight the high frequency of comorbidity in people with OA, with depression having the highest age-standardised prevalence rate. Comorbidities differentially affect females, and vary by age. These factors should inform healthcare programme and delivery.

Indexed as

AdolescentAdultAgedAged, 80 and overAge DistributionAlbertaChildChild, PreschoolComorbidityDatabases, FactualDepressionFemaleHumansHypertensionInfantInfant, Newbornadministrative health datacomorbidityCOPDdepressionhypertensionosteoarthritis

Identifiers

PMID31753902
PMCPMC6887009
OpenAlexW2989683072

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.