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Gait Analysis after Total Knee Arthroplasty with Posterior Cruciate Ligament Retention Rotating Platform and Fixed Total Knee Arthroplasty

2021· article· en· W3138444183 on OpenAlexaboutno aff
GUO. QIANG. LIU, Hao Pan, Zirui Liu, J. J. WANG, Fachao Wang, P. WANG, Qiuling Shi, Jin Guo, Lin Li

Bibliographic record

VenueIndian Journal of Pharmaceutical Sciences · 2021
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsnot available
FundersHebei Provincial Health and Family Planning Commission
KeywordsPosterior cruciate ligamentMedicineTotal knee arthroplastyGaitProsthesisKnee JointArthroplastyOsteoarthritisGait analysisOrthodonticsRange of motionCruciate ligamentBiomechanicsPhysical medicine and rehabilitationPhysical therapySurgeryAnterior cruciate ligamentAnatomy

Abstract

fetched live from OpenAlex

To investigate the gait analysis of patients after total knee arthroplasty with posterior cruciate ligament retention rotating platform and fixed total knee arthroplasty, so as to provide ideas for clinical rationalization treatment. A total of 82 patients with posterior cruciate ligament preserving rotating and fixed platforms were selected for knee replacement in our hospital and were followed up for 1 y. The knee joint Hospital for special surgery score, Western Ontario and McMaster Universities Osteoarthritis index score and the application of a three-dimensional motion capture system were used to compare the parameters of knee joint kinematics and dynamics. In the application of knee arthroplasty between the posterior cross retained rotating platform and the fixed platform, the temporal and spatial parameters and motion parameters in the knee function and gait analysis were significantly improved compared with those before the operation and the differences were statistically significant (p<0.05), while there was no statistically significant difference between the two groups (p>0.05). Both rotating platform and fixed platform can significantly improve the knee joint function and gait of patients with knee arthroplasty using posterior cruciate ligament retention prosthesis.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score0.968

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.307
Teacher spread0.281 · 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 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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