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[Clinical results of critical rehabilitation pathway after total knee arthroplasty].

2021· article· en· W3173827336 on OpenAlexaboutno aff
Xiaolin Wei, Zimao Zhang, Huifang Sun, Xin Zhou, Na Xiao, Qing Guo, Yuanyuan Wang

Bibliographic record

VenuePubMed · 2021
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHamstringRehabilitationWOMACOsteoarthritisTotal knee arthroplastyRange of motionArthroplastyPhysical therapyMuscle strengthVisual analogue scaleGaitSurgery

Abstract

fetched live from OpenAlex

OBJECTIVE: To investigate the clinical results of the application of critical rehabilitation pathway in the rehabilitation after total knee arthroplasty. METHODS: From March 2015 to December 2019, 67 patients with total knee arthroplasty (TKA) were included. There were 49 females and 18 males, 42 cases on the left and 25 cases on the right, with an average age of 60 to 81(70.72±5.92) years old. Critical rehabilitation paths included intensive strength and gait rehabilitation exercises. All patients were evaluated before operation and 3, 12 months after operation. The evaluation indexes included stair climbing test (SCT), six minute walk test (6MWT), quadriceps and hamstring strength, range of motion, visual pain scale (VAS), Western Ontario McMasterUniversity Osteoarthritis score(WOMAC). RESULTS: <0.05. CONCLUSION: Critical rehabilitation path is safe and effective. The knee function of patients who receive critical rehabilitation path after TKA is significantly improved in the first 12 months after operation.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.284
Teacher spread0.264 · 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 designObservational
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

Citations0
Published2021
Admission routes1
Has abstractyes

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