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Record W4387227158 · doi:10.7759/cureus.46303

Arabic-Translated Versions of Patient-Reported Outcome Measures Utilized in Spine Research: A Review of Validated Studies

2023· review· en· W4387227158 on OpenAlexaboutno aff
Abdulhakim B. Jamjoom, Abdulhadi Y Gahtani, Moajeb T Alzahrani, Laila M Baydhi, Ahmad S Albeshri, Momen Sharab

Bibliographic record

VenueCureus · 2023
Typereview
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOswestry Disability IndexVisual analogue scalePhysical therapyLow back painArabicCitationBack painAlternative medicinePathologyLibrary science

Abstract

fetched live from OpenAlex

Patient-reported outcome measures (PROMs) are standardized tools commonly applied in research and healthcare appraisal. Most were developed in English and the cross-cultural adaptation (CCA) and validation of their translated versions remain topics of contemporary research appeal. This review aimed to identify the Arabic-translated PROMs that were utilized in spine research and to assess the methodological qualities of their studies. The PubMed database was searched, and all relevant publications were identified. The CCA and measurement properties were assessed using the guidelines described by Oliveria and Terwee respectively. Thirty studies that validated the Arabic versions of 26 PROMs were found suitable. The tools that had the highest total citation numbers were Neck Disability Index, Ronald-Morris Disability Questionnaire, Oswestry Disability Index, Fear Avoidance Beliefs Questionnaire, Scoliosis Research Society-22, Back Beliefs Questionnaire, Quebec Back Pain Disability Scale, and McGill Pain Questionnaire-Short Form. The Arabic versions of Short Form-36 (SF-36), Visual Analogue Scale (VAS), and EuroQol-5D (EQ-5D) were not included due to lack of validation in spine research. All the articles were published from 2007 to 2023 (median 2019) and their journal's impact factor and citation numbers were relatively modest (mean 2 and 6.5 respectively). Most patients had low back pain (19 articles), were recruited from physiotherapy and rehabilitation departments (18 articles) and came from the Kingdom of Saudi Arabia (12 articles). The quality of the CCA of the Arabic versions was rated good in forward translation, synthesis, back translation, and expert committee review but less so in pretesting and submission. The measurement properties of the studies were considered good quality in internal consistency, reliability, structural validity and cross-cultural validity but less so in content validity, error measurement, responsiveness and floor/ceiling effect. In conclusion, with a few exceptions, most of the widely utilized PROMs in spine research have validated Arabic versions. The methodological quality of the studies was good apart from a few shortages that could be improved upon by further research. Work should be done to address the validation of Arabic versions of SF-36, VAS and EQ-5D in spine research. PROMs are valuable in systematizing subjective outcomes. Their usage in research and clinical settings in any validated language should be highly encouraged.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.028
metaresearch head score (Gemma)0.084
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.028
Threshold uncertainty score0.149

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.084
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0130.018
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.553
GPT teacher head0.538
Teacher spread0.016 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2023
Admission routes1
Has abstractyes

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