Evidence map›Paper›PMID 26167058›Full record

ArticleJournal of mid-life health

Rheumatological disorder (RD) in Indian women above 40 years of age: A cross-sectional WHO-ILAR-COPCORD-based survey.

Susheel Kudial, Vishal R Tandon, Annil Mahajan

Open access · diamondAbstract read
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Article in Journal of mid-life health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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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 at 2 institutions in 1 country.

Susheel KudialDepartment of General Medicine, Government Medical College, Jammu, Jammu and Kashmir, India.
Vishal R TandonDepartment of Pharmacology and Therapeutics, Government Medical College, Jammu, Jammu and Kashmir, India.
Annil MahajanDepartment of General Medicine, Government Medical College, Jammu, Jammu and Kashmir, India.
Government Medical College · INGovernment Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AIM AND

objectiveTo evaluate rheumatological profile among Indian women above 40 years. MATERIALS AND

methodsA cross-sectional survey was carried out for a period of one year using pre-validated questionnaire of COPCORD/WHO-ILAR. Those who complain of pain, tenderness, stiffness or swelling were subjected to clinical evaluation and diagnosis was established using the ACR's criteria for various RDs.

resultsMean age of the patients was 55.06 ± 6.82 years, mean age at menopause was 47.30 ± 2.50 years and the mean time since menopause was 9.077 ± 5.43 years. Among the total population evaluated (N = 130), 37.69% women presented with RD and 37.06% women among the menopausal women had RD with the most common being low backache (16.92%), followed by osteoarthritis (12.30%), fibromyalgia (3.84%) and rheumatoid arthritis (2.30%). The most common site involved was knee (9.23%) followed by lumbar spine (8.46%), hip (3.07%) and other sites (16.92%) such as neck, upper back, hand joints, shoulder, thighs, etc. Study failed to show any statistical correlation with any socio-demographic or other parameters of interest with RD. HAQ-DI (Health Assessment Questionnaire Disability Index) was found to be highly significant (P < 0.000) in 13.84% women when correlated with RD.

conclusionThe prevalence of RD is substantially high among Indian women above 40 years demanding attention of health care providers.

Indexed as

Advancing ageCOPCORDmenopauserheumatic disordersWHO-ILAR

Identifiers

PMID26167058
PMCPMC4481744
OpenAlexW1591790837

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

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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.