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Record W2584759870 · doi:10.2519/jospt.2017.7089

Dry Needling Combined With Physical Therapy in Patients With Chronic Postsurgical Pain Following Total Knee Arthroplasty: A Case Series

2017· article· en· W2584759870 on OpenAlexaboutno aff
Rodrigo Núñez‐Cortés, Carlos Cruz‐Montecinos, Álvaro Vásquez-Rosel, Orlando Paredes-Molina, Antonio Cuesta‐Vargas

Bibliographic record

VenueJournal of Orthopaedic and Sports Physical Therapy · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMyofascial pain diagnosis and treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDry needlingOsteoarthritisPhysical therapyVisual analogue scaleRange of motionManual therapyArthroplastySurgeryAcupuncture

Abstract

fetched live from OpenAlex

Study Design Case series. Background This case series describes a combined program of dry needling and therapeutic exercise in a small group of patients with persistent pain following total knee arthroplasty (TKA). Case Description Fourteen patients who underwent TKA had persistent postsurgical pain and myofascial trigger points that were nonresponsive to treatment with conventional physical therapy and/or medication. The patients received a weekly dry needling treatment in combination with therapeutic exercises for 4 weeks. Pain perception was assessed preintervention and postintervention with a visual analog scale and function was assessed with the Western Ontario and McMaster Universities Osteoarthritis Index, 6-minute walk test, timed up-and-go test, 30-second chair-stand test, and knee joint range of motion. Outcomes After TKA, the patients had a mean ± SD symptom duration of 6.3 ± 3.1 months. Subsequent to dry needling, patients reported a significant mean ± SD decrease in pain intensity from 55.6 ± 6.6 to 19.3 ± 5.6 (P<.001) and improvements in Western Ontario and McMaster Universities Osteoarthritis Index scores from 10.1 ± 0.8 to 4.9 ± 1.0 for pain (P<.001), from 5.3 ± 0.4 to 2.4 ± 1.2 for stiffness (P<.001), and from 36.7 ± 2.0 to 20.1 ± 3.2 for function (P<.001). Knee flexion increased from a mean ± SD of 82.7° ± 5.2° to 93.3° ± 4.3° (P<.001), and joint extension improved from 15.8° ± 2.9° to 5.3° ± 2.4° (P<.05). The 6-minute walk test also showed improvement in postintervention values from a mean ± SD of 391.4 ± 23.7 to 424.7 ± 28.4 m (P<.05). Discussion After dry needling combined with therapeutic exercises, patients who had chronic pain following TKA showed clinically significant improvements in pain, range of motion, function, and myofascial trigger points. Future randomized clinical trials should further investigate the effectiveness of this protocol under similar conditions. Level of Evidence Therapy, level 4. J Orthop Sports Phys Ther 2017;47(3):209-216. Epub 3 Feb 2017. doi:10.2519/jospt.2017.7089.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.001
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 head0.005
GPT teacher head0.229
Teacher spread0.223 · 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 designCase report
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".

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Citations42
Published2017
Admission routes1
Has abstractyes

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