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Record W4380989710 · doi:10.1097/md.0000000000033945

Clinical trial of manual therapy in the treatment of chondromalacia patellae

2023· article· en· W4380989710 on OpenAlexaboutno aff
Yan Cai, Ying Deng, Liang Ou, Yuxing Guo, Yanxing Guo

Bibliographic record

VenueMedicine · 2023
Typearticle
Languageen
FieldEngineering
TopicLower Extremity Biomechanics and Pathologies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineChondromalaciaPhysical therapyRandomized controlled trialClinical trialVisual analogue scaleAdverse effectSurgeryInternal medicineArthroscopy

Abstract

fetched live from OpenAlex

BACKGROUND: Chondromalacia patellae (CP) is a common and main cause of knee pain, the prevalence of the disease in the general population is as high as 36.2%, especially in middle-aged patients aged between 30 and 40 years (up to 50%). The use of manual therapy (MT) to dredge the meridians and muscles around the knee joint and stimulate the relevant acupoints can play vital roles in relieving pain and improving function. The purpose of this study is to assess the effectiveness, safety and further comprehensively, completely and multi-dimensionally explain the mechanism and treatment advantages of MT for CP. METHODS: A prospective randomized controlled clinical trial design was used to study the efficacy and safety of MT in the treatment of CP. One hundred and twenty cases of CP patients will be recruited and randomly divided into experimental group and control group according to 1:1. The control group: sodium hyaluronate; experimental group: MT added on the basis of the control group. Both groups will receive standard treatment for 4 weeks and followed up for 3 months. And at the same time, pay attention to its efficacy and safety indicators. Observation indicators include: the visual analogue scale pain score; the Western Ontario and McMaster Universities Arthritis Index scores; the Lysholm scores, and Bristol scores, adverse reactions, etc. Data analysis was performed using SPSS 25.0 software. DISCUSSION: This study will precisely evaluate the effectiveness and safety of MT in the treatment of CP. The results of this experiment will provide more reliable clinical basis for the selection of MT for patients with CP.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.941
Threshold uncertainty score0.147

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.106
GPT teacher head0.363
Teacher spread0.258 · 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 designOther design
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

Citations8
Published2023
Admission routes1
Has abstractyes

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