Evidence map›Paper›PMID 28506300›Full record

ArticleBMC musculoskeletal disorders2017

Cross-cultural adaptation and psychometric analysis of the Arabic version of the oxford knee score in adult male with knee osteoarthritis.

Ahmad H Alghadir, Einas S Al-Eisa, Shahnawaz Anwer

Open access · goldAbstract read
In one paragraph

Article in BMC musculoskeletal disorders, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

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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 2 countries.

Ahmad H AlghadirRehabilitation Research Chair, College of Applied Medical Sciences, King Saud University, P.O.Box-10219, Riyadh, 11433, Saudi Arabia.
Einas S Al-EisaRehabilitation Research Chair, College of Applied Medical Sciences, King Saud University, P.O.Box-10219, Riyadh, 11433, Saudi Arabia.
Shahnawaz AnwerRehabilitation Research Chair, College of Applied Medical Sciences, King Saud University, P.O.Box-10219, Riyadh, 11433, Saudi Arabia. anwer_shahnawazphysio@rediffmail.com.ORCID 0000-0003-3187-8062
King Saud University · SAKing Saud Medical City · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are varieties of self-assessment questionnaire used for the evaluation of pain, functional disability, and health related quality of life in individuals with knee osteoarthritis (OA). The present study intended to adapt and translate the oxford knee score into the Arabic and investigated its psychometric properties in adult male with knee OA.

methodsNinety-seven adult male (mean age 57.55 ± 11.49 years) with knee OA participated. Patients were requested to complete the adapted Arabic version of the Oxford knee score (OKS-Ar), reduced "Western Ontario and McMaster Universities Index (WOMAC)", and the Visual analogue scale (VAS). Patients were requested to complete 2

resultsAll the participants completed the 2

conclusionsThe adapted Arabic version of the OKS demonstrated acceptable psychometric properties, including reliability, internal consistency, and the validity. The present study indicates that the OKS-Ar is a suitable questionnaire to measure pain and physical function in the Arabic speaking adult male patients with knee OA.

Indexed as

Cross-Cultural ComparisonTranslatingAdultAgedAged, 80 and overHumansMaleMiddle AgedOsteoarthritis, KneePain MeasurementPsychometricsReproducibility of ResultsArabicKneeOsteoarthritisOxford knee scoreReliabilityValidity

Identifiers

PMID28506300
PMCPMC5432976
OpenAlexW2615432296

What OpenQuestion holds

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LicenceCC BY
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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.