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Record W2313601276

Somatic and psychological predictors of response to intra-articular corticosteroid injection in knee osteoarthritis

2016· dissertation· en· W2313601276 on OpenAlexaboutno aff
George Hirsch

Bibliographic record

VenueResearch Explorer (The University of Manchester) · 2016
Typedissertation
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsPhysical therapyWOMACMedicineOsteoarthritisContext (archaeology)Observational studyPsychosocialKnee painRheumatoid arthritisInternal medicineAlternative medicinePsychiatry
DOInot available

Abstract

fetched live from OpenAlex

Background: Intra-articular corticosteroid injections (IACI) are a commonly used treatment for painful knee osteoarthritis (OA). Response to treatment varies the reason for which is unclear. Further there are no data concerning the impact of accuracy of injection and psychological factors including illness perceptions, pain catastrophizing and depression on outcome following IACI.Objectives: i) to undertake a systematic review looking at predictors of response to IACI in patients with symptomatic knee OA and, ii) to determine the role of psychological factors and accuracy of injection in predicting response to IACI.Methods: A systematic review was conducted using electronic databases for randomised trials and observational studies looking at predictors of response to IACI in knee and hip OA. An observational study of 141 consenting patients (105 primary OA and 36 secondary OA in the context of well controlled rheumatoid arthritis) receiving routine IACI as part of clinical care for knee OA was conducted including baseline assessment and outcome assessments at 3 and 9 weeks. Response was defined as at least 40% reduction of pain from baseline, using the Western Ontario and McMaster Universities Arthritis Index (WOMAC). Assessment included ultrasound (US) for features of synovial inflammation), radiographs, and assessment of psychological factors including the revised illness perception questionnaire (IPQR). Accuracy of injection was assessed using US. Characteristics of responders and non-responders to IACI at 3 and 9 weeks were determined using univariate statistics and significant factors entered into logistic regression models.Results: The systematic review found no consistent evidence for any disease or non-disease related predictor of response and no systematic exploration of the effects of psychological factors or accuracy of injection on treatment response. In the observational study, 83 (53%) of 141 subjects were responders to IACI at 3 weeks and 56 (44%) at 9 weeks. In univariate analysis, responders to treatment had higher scores for the IPQR domain treatment control and lower scores for IPQR consequences, depression and pain catastrophizing at both 3 and 9 weeks. Physical and patient related factors, including accuracy of injection and US features, were not associated with outcome, with the exceptions of higher baseline pain and previous experience of injection being associated with non-response at 9 weeks. In multiple regression, treatment control was the only independent predictor of response at 3 weeks. At 9 weeks, treatment control, consequences and depression were independent predictors of treatment outcome.Conclusion: In this observational study illness perceptions and depression predicted the outcome of IACI at 3 and 9 weeks. By contrast, physical factors including accuracy of injection did not influence outcome. Further work is needed to replicate these findings and elucidate mechanisms for these effects.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.646
Threshold uncertainty score0.580

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.042
GPT teacher head0.307
Teacher spread0.265 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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