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Record W4285386490 · doi:10.21203/rs.3.rs-1826899/v1

Analysis of early curative effect of TKA surgery strategy guided by personalized tibial prosthesis rotation alignment

2022· preprint· en· W4285386490 on OpenAlexaboutno aff
Yuhao Yan, Xuanze Liu, Mingsheng Yan, Ying Chen, Jun Xie, Guoqing Xiao

Bibliographic record

VenueResearch Square · 2022
Typepreprint
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineWOMACVisual analogue scaleOxford knee scoreRange of motionTotal knee arthroplastyProsthesisSurgeryOsteoarthritisArthroplastyOrthodontics

Abstract

fetched live from OpenAlex

Abstract Background To explore the influence of individualized positioning of tibial prosthesis rotation alignment to guide total knee arthroplasty (TKA) surgery strategy on the early postoperative effect. Method A total of 60 patients who underwent TKA in our hospital from January 2019 to March 2020 were divided into two groups: personalized operation group and traditional operation group, with 30 patients each group. The general data such as age, sex, operation time, intraoperative blood loss and hospital stay were recorded. Range of motion (ROM), visual analogue scale (VAS), knee society score (KSS), The Western Ontario and McMaster Universities Arthritis Index (WOMAC), and Oxford knee score (OKS) were recorded before, 3 months and 12 months after operation and the vertical angle between APA and STEA' was θ, the mechanical axis of lower extremities (MA) and patellofemoral index (PFI) 3 months and 12months after operation were measured to evaluate the postoperative effect. Results 3 months after operation, the ROM, VAS, KSS, vertical angle θ and PFI scores of personalized positioning group were (108.6 ± 8.27), (1.20 ± 0.56), (88.15 ± 2.54), (0.85 ± 1.08) and (0.97 ± 0.10) respectively were better than traditional operation group (102.80 ± 7.72), (2.20 ± 0.67), (83.60 ± 3.85), (7.12 ± 0.99), (1.34 ± 0.20). 12 months after operation, the ROM, VAS, KSS, vertical angle θ and PFI scores of personalized positioning group were (118.3 ± 7.26), (0.67 ± 0.48), (91.83 ± 1.74), (0.35 ± 1.03), (0.96 ± 0.15) respectively were better than traditional operation group (114.1 ± 8.09), (1.18 ± 0.83), (89.93 ± 2.50), (6.24 ± 0.69), (1.28 ± 0.19). There was no significant difference in MA, WOMAC and OKS after operation. Conclusion Personalized tibial prosthesis rotation alignment guide TKA strategy can more accurately obtain the prosthesis rotation alignment and lower limb force lines, and then guide TKA surgery, in order to achieve better results in the early postoperative period.

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)0.000
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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)0.0010.000

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 head0.067
GPT teacher head0.411
Teacher spread0.344 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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