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Record W4380680174 · doi:10.21203/rs.3.rs-3038814/v1

Residual varus alignment after posterior-stabilized total knee arthroplasty limits medial soft tissue remodeling

2023· preprint· en· W4380680174 on OpenAlexaboutno aff
Yanfeng Jia, Shiqi Qin, Juncai Xu, Wei Gao, Boxuan Zhang, Xiaofeng Wang, Kezhen Zhou, Zhiwen Sun, Yingzhen Niu, Ran Sun

Bibliographic record

VenueResearch Square · 2023
Typepreprint
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsnot available
FundersHebei Medical University
KeywordsMedicineValgusSoft tissueOsteoarthritisWOMACRange of motionTotal knee arthroplastyAnkleOrthodonticsSurgery

Abstract

fetched live from OpenAlex

Abstract Background Proper lower limb alignment and soft tissue balance are significant indicators to measure the success of total knee arthroplasty (TKA). Previous studies have confirmed that soft tissue relaxation around the knee after TKA will change over time; however, the relationship between lower limb alignment and soft tissue balance after TKA is still unclear. We studied (1) whether the change of soft tissue balance around the knee with time after PS TKA would affect the alignment of the lower limbs; (2) Whether the accuracy of lower limb alignment during PS TKA affects postoperative soft tissue remodeling. Methods In this study, 100 patients were recruited after PS TKA. Among them, 50 patients with a hip knee ankle (HKA) angle of ≤ ± 3 ° were set as the neutral group, and 50 patients with HKA angle of >± 3 ° were set as the deviation group. The imaging results measured the hip knee ankle (HKA) angle before the operation as well as the HKA, varus, and valgus angles at 1, 3, 6, 12, and 24 months after TKA. Clinical assessment included range of motion (ROM), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), and Knee Society Score (KSS). Results Eight people were excluded in the experiment. The study enrolled 47 patients in the neutral group and 45 patients in the deviant group follow up for 2 years . During the follow-up, the HKA angles were 1.64 °, 1.66 °, 1.69 °, 1.67 °, and 1.64 ° in the neutral group and 4.35 °, 4.38 °, 4.40 °, 4.42 °, and 4.42 ° in the deviation group. There was no statistical significance in the changes of HKA angle in the follow-up of the two groups (P > 0.05). The mean varus angles of the patients in the neutral group were 5.77 °, 4.17 °, 4.06 °, 4.06 °, and 4.09 °, while the mean varus angles of the patients in the deviation group were 5.68 °, 4.20 °, 4.18 °, 4.09 ° and 4.05 °, with no significant difference between the groups (P > 0.05). The mean valgus angles of the patients in the neutral group and deviation group were 2.47 ° and 2.45 ° (P = 0.841), 3.45 ° and 2.88 ° (P < 0.001), 3.63 ° and 3.07 ° (P < 0.001), 3.60 ° and 3.06 ° (P < 0.001), 3.63 ° and 3.10 ° (P < 0.001). ROM, WOMAC and KSS of the two groups were significantly improved after operation, and there was no difference between the two groups. Conclusion This study shows that whether the alignment is accurate or not in the early stage after TKA, the relaxation of the medial and lateral soft tissues of the knee joint change; however, this change will not significantly affect the alignment of the lower limbs. Postoperative residual varus deformity will limit medial soft tissue remodeling. Level of evidence III.

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)0.001
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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.071
GPT teacher head0.382
Teacher spread0.311 · 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
Published2023
Admission routes1
Has abstractyes

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