Evidence map›Paper›PMID 38425953›Full record

ArticleIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine

A Cross-sectional Study to Estimate the Proportion and Ascertain Risk Factors for Osteoarthritis Knee among Women above 45 Years of Age Attending a Tertiary Care Hospital.

S Rahini, Rujuta S Hadaye

Open access · goldAbstract read
In one paragraph

Article in Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine. 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
0.9field-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, 2 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 1 institution in 1 country.

S RahiniDepartment of Community Medicine, Sri Venkateswaraa Medical College Hospital and Research Institute, Chennai, Tamil Nadu, India.
Rujuta S HadayeDepartment of Community Medicine, T.N. Medical College and B.Y.L. Nair Hospital, Mumbai, Maharashtra, India.
Sri Venkateswara Medical College and Ruia Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With aging, women face various health issues, the most common of which are musculoskeletal disorders. Osteoarthritis accounts for 15% of all musculoskeletal disorders in patients above the age of 45 years but receives little attention. This study aims to estimate the proportion of women above 45 years suffering from Osteoarthritis (OA) knee and to ascertain its risk determinants. Materials and Methods: A cross-sectional study was conducted among 380 women above 45 years of age attending the Orthopedic outpatient department of a tertiary care hospital over a period of 18 months. American College of Rheumatology clinicoradiological criteria were used for the diagnosis of OA knee. A predesigned case record form was used to collect information on sociodemographic profile and other risk factors. Results: Data were analyzed using SPSS version 16.0. Our study found the overall proportion of OA knee to be 69.2%. The Chi-square test was used to find the association of various factors with OA knee. On logistic regression, diabetes mellitus, hypertension, menopause, and increased body mass index were found to be significant for OA Knee. Conclusion: The study concludes the possibility of prevention of disabilities by early screening for OA Knee in those with risk factors as a part of wellness clinics.

Indexed as

Diabetesobesityosteoarthritiswellness clinics

Identifiers

PMID38425953
PMCPMC10900466
OpenAlexW4391146356

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.