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Record W3039394326 · doi:10.7556/jaoa.2020.071

Preoperative Osteopathic Manipulative Therapy Improves Postoperative Pain and Reduces Opioid Consumption After Total Knee Arthroplasty: A Prospective Comparative Study

2020· article· en· W3039394326 on OpenAlexaboutno aff
Pierre Barral, Shahnaz Klouche, Nathalie Barral, Yves-Pierre Lemoulec, André Thès, Thomas Bauer

Bibliographic record

VenueJournal of Osteopathic Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOsteoarthritisArthroplastyOpioidPhysical therapyRandomized controlled trialAnesthesiaSurgeryAlternative medicine

Abstract

fetched live from OpenAlex

CONTEXT: Pain is a therapeutic challenge after total knee arthroplasty (TKA), and it could lead to the overuse of opioids. Few methodologically robust clinical studies have been performed to assess the effectiveness of osteopathic manipulative therapy (OMTh; manipulative care performed by non-US-trained osteopaths) for postsurgical pain. OBJECTIVE: To evaluate the effectiveness of standardized preoperative OMTh on early postoperative pain and opioid consumption after TKA. METHODS: This comparative, nonrandomized study took place from 2013 to 2015 and included patients who had primary unilateral TKA for osteoarthritis in a knee that had not undergone any previous surgery. Patients were divided into 2 consecutive groups: 1 group received traditional preoperative management, and the other group received associated preoperative OMTh (general OMTh [rhythmic mobilization of all the body joints, from the ankles to the skull, using long-lever manipulation] and myofascial relaxation). The primary evaluation criterion was knee pain at rest 1 month after surgery: 0 (no pain) to 100 (the worst imaginable pain). The secondary evaluation criteria were: (1) knee pain while walking 1 month after surgery, (2) average weekly knee pain during the first month after surgery, (3) the presence of night pain and the consumption of sleeping pills and opioids or morphine at least once per week, (4) the International Knee Society scores and the Western Ontario and McMaster University Osteoarthritis index at postoperative 6 months and 1 year. The number of patients needed for a superiority trial was determined. RESULTS: No eligible patient refused OMTh when proposed. Seventy patients were evaluated (mean [SD] age, 75 [8] years; 47 women and 23 men). The 2 treatment groups contained 35 patients each. At postoperative month 1, the OMTh group had significantly less pain at rest (mean [SD], 6.8 [6] vs 20.9 [17.3]; P=.00001) and while walking (7.9 [9.4] vs 23.5 [20.6]; P=.0001) compared with the group that received traditional preoperative management. The consumption of opioids during the first postoperative week was significantly lower in the OMTh group (P=.0001). No statistically significant difference was found in the International Knee Society or Western Ontario and McMaster University Osteoarthritis scores between the 2 groups at 6 months and 1 year of follow-up. CONCLUSION: Standardized preoperative OMTh was found to be effective in reducing pain in the first month after TKA for osteoarthritis and significantly reduced opioid consumption during the first postoperative week.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.041
GPT teacher head0.303
Teacher spread0.262 · 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 designNon-randomized trial
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

Citations12
Published2020
Admission routes1
Has abstractyes

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