Evidence map›Paper›PMID 32376850›Full record

ArticleScientific reports2020

Prevalence and pattern of comorbidities in chronic rheumatic and musculoskeletal diseases: the COMORD study.

Nelly Ziade, Bernard El Khoury, Marouan Zoghbi, Georges Merheb, Ghada Abi Karam, Kamel Mroue', Jamil Messaykeh

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Review
  6. Article
  7. Article
  8. Observational
  9. Review
  10. Article
  11. Health Disparities in Rheumatology in the United States.Open access rheumatology : research and reviews · 2025
    Review
  12. Review
  13. Article
  14. Review
  15. Observational
  16. Review
  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

7 authors at 4 institutions in 1 country.

Nelly ZiadeRheumatology department, Hotel-Dieu de France Hospital, Beirut, Lebanon. nellziade@yahoo.fr.ORCID http://orcid.org/0000-0002-4479-7678
Bernard El KhouryGastro-enterology department, Faculty of Medicine, Saint-Joseph University, Beirut, Lebanon.
Marouan ZoghbiFamily Medicine department, Faculty of Medicine, Saint-Joseph University, Beirut, Lebanon.
Georges MerhebNotre-Dame des Secours University Hospital, Jbeil, Lebanon.
Ghada Abi KaramRheumatology department, Hotel-Dieu de France Hospital, Beirut, Lebanon.
Kamel Mroue'Zahra University Hospital, Beirut, Lebanon.
Jamil MessaykehMonla Hospital, Tripoli, Lebanon.
Saint Joseph University · LBAl-Salam Hospital · LBHoly Spirit University of Kaslik · LBRafik Hariri University Hospital · LB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increased risk of comorbidities has been reported in Rheumatic and Musculoskeletal Diseases (RMD). We aimed to evaluate the prevalence and pattern of comorbidities in RMD patients nationwide, to identify multimorbidity clusters and to evaluate the gap between recommendations and real screening. Cross-sectional, multicentric nationwide study. Prevalence of comorbidities was calculated according to six EULAR axes. Latent Class Analysis identified multimorbidity clusters. Comorbidities' screening was compared to international and local recommendations. In 769 patients (307 RA, 213 OA, 63 SLE, 103 axSpA, and 83 pSA), the most frequent comorbidities were cardiovascular risk factors and diseases (CVRFD) (hypertension 36.5%, hypercholesterolemia 30.7%, obesity 22.7%, smoking 22.1%, diabetes 10.4%, myocardial infarction 6.6%), osteoporosis (20.7%) and depression (18.1%). Three clusters of multimorbidity were identified: OA, RA and axSpA. The most optimal screening was found for CVRF (> = 93%) and osteoporosis (53%). For malignancies, mammograms were the most optimally prescribed (56%) followed by pap smears (32%) and colonoscopy (21%). Optimal influenza and pneumococcus vaccination were found in 22% and 17%, respectively. Comorbidities were prevalent in RMD and followed specific multimorbidity patterns. Optimal screening was adequate for CVRFD but suboptimal for malignant neoplasms, osteoporosis, and vaccination. The current study identified health priorities, serving as a framework for the implementation of future comorbidity management standardized programs, led by the rheumatologist and coordinated by specialized health care professionals.

Indexed as

AdultAgedComorbidityCross-Sectional StudiesFemaleHumansLebanonMaleMass ScreeningMiddle AgedMusculoskeletal DiseasesPrevalencePublic Health SurveillanceRheumatic DiseasesRisk Factors

Identifiers

PMID32376850
PMCPMC7203228
OpenAlexW3021738298

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.