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Record W4385264120 · doi:10.2478/rjim-2023-0017

Neuropathic pain in patients with primary knee osteoarthritis: A cross-sectional study

2023· article· en· W4385264120 on OpenAlexaboutno aff
A. Mougui, S. Belouaham, I. El Bouchti

Bibliographic record

VenueRomanian Journal of Internal Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOsteoarthritisWOMACCross-sectional studyInternal medicineRheumatologyPhysical therapyNeuropathic painVisual analogue scaleDiabetes mellitusKnee painAnesthesiaPathology

Abstract

fetched live from OpenAlex

Abstract Introduction Neuropathic pain (NP) is believed to be a distinct subtype of pain associated with knee osteoarthritis (KO). This study aimed to determine the prevalence of NP in patients with primary KO and examine its correlation with various factors. Methods A cross-sectional study was conducted on 195 patients with primary KO who did not have the following conditions: knee surgery, infection, rheumatic diseases, peripheral and central neurological diseases, patients who received treatment for neuropathic pain in the past 6 months, diabetes, renal failure, and alcoholism. NP was evaluated using two standardized questionnaires, the Douleur Neuropathique 4 questions (DN4) and the painDETECT questionnaire. Results The majority of patients were female (87.5%), with a mean age of 59.15 ± 7.62 years. NP was detected in 55.9% of patients according to the DN4 questionnaire and in 50.7% of patients according to the painDETECT questionnaire. The DN4 score was positively correlated with age (p=0.041; r s =0.145), visual analogue scale (VAS)-pain at rest (p=0.009; r s =0.188), VAS-pain at movement (p=0.017; r s =0.173), Western Ontario and McMaster Osteoarthritis Index (WOMAC) pain score (p=0.030; r s =0.157), WOMAC stiffness score (p=0.000; r s =0.253), physical function WOMAC score (p=0.000; r s =0.271), total WOMAC score (p=0.000; r s =0.305), Lequesne score (p=0.002; r s =0.221), and negatively correlated with quadriceps circumference (p=0.008; r s =−0.210). Whereas, the painDETECT score was positively correlated with VAS-pain at movement (p=0.002; r s =0.220), WOMAC stiffness score (p=0.043; r s =0.147), physical function WOMAC score (p=0.017; r s =0.172), and total WOMAC score (p=0.012; r s =0.182). NP according to the DN4 was associated with quadriceps circumference (p=0.01), while the painDETECT score was associated with VAS- pain at movement scores (p=0.022) and total WOMAC score (P=0.001). Conclusion This study found that NP is common among patients with primary KO and is associated with more painful pathology and functional impairment. These findings highlight the importance of recognizing and managing NP in this population to improve patient outcomes.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.549

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.264
Teacher spread0.253 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations6
Published2023
Admission routes1
Has abstractyes

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