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Record W3033633715 · doi:10.1016/j.ijsu.2020.05.035

Arthroscopic partial meniscectomy combined with medical exercise therapy versus isolated medical exercise therapy for degenerative meniscal tear: A meta-analysis of randomized controlled trials

2020· review· en· W3033633715 on OpenAlexaboutno aff
Hua-gang Pan, Peng Zhang, Zhaodong Zhang, Quan Yang

Bibliographic record

VenueInternational Journal of Surgery · 2020
Typereview
Languageen
FieldMedicine
TopicKnee injuries and reconstruction techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRandomized controlled trialMeta-analysisMedical therapyExercise therapyPhysical therapySports medicineSurgeryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Degenerative meniscal tear is a chronic disorder which presents with knee pain, swelling and loss of motion. It is currently unknown whether arthroscopic partial meniscectomy combined with medical exercise therapy is superior to isolated medical exercise therapy for degenerative meniscal tear. OBJECTIVE: To determine if medical exercise therapy alone is as effective as arthroscopic partial meniscectomy combined with medical exercise therapy in treating degenerative meniscal tear. METHOD: Electronic searches were performed using MEDLINE, EMBASE, and the Cochrane Library Databases for all randomized studies. Two reviewers independently completed the literature screening, data extraction, and risk evaluation of bias. The outcome measures were visual analogue scale (VAS), the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), range of motion, the Lysholm Knee Scoring Scale (LKSS), Knee injury and Osteoarthritis Outcome Score (KOOS) and postoperative complications. STATA 13.0 software was applied for meta-analysis. RESULT: Six randomized controlled trials (RCTs) were conducted, with 900 patients included. The present study revealed that there were significant differences between the two groups regarding the VAS at two months, as well as, WOMAC and range of motion. No significant differences were found in terms of LKSS, KOOS or postoperative complications. LIMITATIONS: (1) Only 6 RCTs were included in our meta-analysis and the sample sizes were small; (2) The follow-up period was too short in some included studies. Long-term follow-up studies should be conducted in the future; (3) Heterogeneity among the included studies was unavoidable due to different grade of degenerative meniscal tear and program of exercise. Heterogeneity was also caused by a variety of other factors. (4) Publication bias that came from the process of literature searching was unavoidable and was hard to overcome. (5) There are many other words which could yielded more studies (Ex. physiotherapy, physical therapy modalities, exercise therapy, rehabilitation, knee, placebo, groups, tibial meniscus, meniscus, arthroscopy, meniscectomy, partial meniscectomy, randomized controlled trial, controlled clinical trial, randomized, systematic review, and meta-analysis). Implications of key findings: This meta-analysis suggests that doctors can choose arthroscopic partial meniscectomy combined with medical exercise therapy for the treatment of degenerative meniscal tear. CONCLUSION: Arthroscopic partial meniscectomy combined with medical exercise therapy is effective in reducing pain and improving range of motion in the early postoperative period. Therefore, arthroscopic partial meniscectomy combined with medical exercise therapy may be recommended for the treatment of degenerative meniscal tear. Further research is necessary to determine the type, frequency, and duration of the best exercise program. Systematic review registration number: Reviewregistry884.

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)0.014
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (broad)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.203
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0420.026
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.148
GPT teacher head0.425
Teacher spread0.277 · 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; both teacher heads agree on what is shown here.

Study designMeta-analysis
Domainnot available
GenreReview

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

Citations28
Published2020
Admission routes1
Has abstractyes

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