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Record W6999529104

A cross-cultural adaptation and validation of the short-form McGill Pain Questionnaire-2: Chinese version in patients with chronic visceral pain

2017· article· en· W6999529104 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2017
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsIntraclass correlationChronic painVarimax rotationReliability (semiconductor)Exploratory factor analysisBeijingMcGill Pain Questionnaire
DOInot available

Abstract

fetched live from OpenAlex

Jiang-Lin Wang,1* Wei-Jun Zhang,2* Min Gao,2 Shengfa Zhang,2 Dong-Hua Tian,2* Jun Chen1,3,4* 1Institute for Biomedical Sciences of Pain, Tangdu Hospital, The Fourth Military Medical University, Xi’an, 2School of Social Development and Public policy, China Institute of Health, Beijing Normal University, Beijing, 3Key Laboratory of Brain Stress and Behavior, People’s Liberation Army, Xi’an, 4Beijing Institute for Brain Disorders, Beijing, Peoples’ Republic of China *These authors contributed equally to this work Objective: The present study aimed to develop a culturally appropriate and functional Standard Mandarin Chinese translation of the short-form McGill Pain Questionnaire-2 (SF-MPQ-2) and to assess its reliability and validity for characterizing chronic visceral pain in Chinese patients.Background: The SF-MPQ-2 has been widely used in studies of pain epidemiology, diagnosis and treatment, and even pathophysiologic mechanisms to assess the major symptoms of clinical pain. Previous reports have shown favorable reliability, validity, and responsiveness of the SF-MPQ-2 in diverse samples of patients with chronic and acute pain. However, a culturally appropriate, functional Chinese version of the scale has never been developed.Methods: Beaton’s guidelines were used for the translation and back-translation procedures. Patients (n=145) with chronic visceral pain were recruited to complete the Standard Mandarin Chinese version of the SF-MPQ-2 (SF-MPQ-2-CN), of which 41 were asked to complete the SF-MPQ-2-CN a second time, 3 days after the initial visit. The test–retest reliability was quantified using the intraclass correlation coefficient (ICC), and Cronbach’s alpha was calculated to assess internal consistency. Possible components were determined by exploratory factor analysis with varimax rotation, and a value of 0.4 was considered requisite for the loading of each factor.Results: The ICC for subscales ranged from 0.909 to 0.952, and that of the total scale was 0.927, suggesting excellent reliability and validity of the SF-MPQ-2-CN. Cronbach’s alpha for subscales ranged from 0.896 to 0.916, and that of the total scale was 0.836 and 0.831 for primary and secondary visits, respectively. The factor loading matrix of the SF-MPQ-2-CN ranged from 0.734 to 0.901 for each of the following subscales: continuous, intermittent, neuropathic, and affective, revealing four components similar to the original scale.Conclusion: The reliability and validity of the SF-MPQ-2-CN scale are statistically acceptable for the evaluation of Chinese patients with chronic visceral pain. Keywords: chronic visceral pain, Chinese version of short-form McGill Pain Questionnaire-2, exploratory factor analysis, reliability, validity

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)0.006
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.078
GPT teacher head0.484
Teacher spread0.406 · 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 designObservational
Domainnot available
GenreMethods

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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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