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Prospective Randomized Clinical Trial of Continuous Passive Motion After Total Knee Arthroplasty

2000· article· en· W2029569881 on OpenAlexaff
Steven J. MacDonald, Robert B. Bourne, Cecil H. Rorabeck, Richard W. McCalden, John F. Kramer, Margaret D. Vaz

Bibliographic record

VenueClinical Orthopaedics and Related Research · 2000
Typearticle
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsLondon Health Sciences Centre
Fundersnot available
KeywordsMedicineContinuous passive motionArthroplastyTotal knee arthroplastyRandomized controlled trialOrthopedic surgeryRange of motionClinical trialPhysical therapySports medicineSurgeryInternal medicine

Abstract

fetched live from OpenAlex

The authors report the results of a prospective randomized clinical trial using continuous passive motion after total knee arthroplasty. One hundred twenty patients were assigned randomly to one treatment group: No continuous passive motion (Group I), continuous passive motion from 0 degrees to 50 degrees and increased as tolerated (Group II), and continuous passive motion from 70 degrees to 110 degrees (Group III). The continuous passive motion was initiated in the recovery room and was maintained for a maximum of 24 hours at which point all patients began identical postoperative physiotherapy regimens. Patients were assessed preoperatively, during their hospital stay, at 6 weeks, 12 weeks, 26 weeks, and 52 weeks after their surgery. There were no statistical differences between any of the treatment groups regarding cumulative analgesic requirements, range of motion at any measured interval, length of stay (Group I, 5.1 days; Group II, 5.2 days; Group III, 5 days) or Knee Society scores. The current study does not support the use of short-term continuous passive motion after total knee replacement. A standard and a high flexion continuous passive motion protocol failed to show any advantage over physiotherapy alone in the parameters evaluated.

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)0.017
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.360
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.005
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.034
GPT teacher head0.391
Teacher spread0.357 · 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.

Study designRandomized 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

Citations73
Published2000
Admission routes1
Has abstractyes

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