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Record W4415096649 · doi:10.7759/cureus.94421

A Prospective Multicenter Analysis of the Mid-term Outcomes of Component Size Variation in Simultaneous Bilateral Total Knee Arthroplasty: Does One-Size Difference Matter?

2025· article· en· W4415096649 on OpenAlexaboutno aff
Haresh P. Bhalodiya, Rakesh Kumar Singh, Vivek Logani, IPS Oberoi, Deepak Solanki, Hemant Wakankar, Avtar Singh, B. N. Chatterjee, Sanjeev Mahajan, Chandrashekhar Yadav, Ashok Thakkar, Udita Chandra, Kunal Aneja, Supreet Bajwa, Ponnanna Karineravanda Machaiah, Ravi Teja Rudraraju, Dolly Singh

Bibliographic record

VenueCureus · 2025
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsOsteoarthritisOxford knee scoreTotal knee arthroplastyImplantRadiographyRange of motionArthroplastyProspective cohort study

Abstract

fetched live from OpenAlex

Background In simultaneous bilateral total knee arthroplasty (bTKA), surgeons often encounter scenarios where femoral or tibial component sizes differ between limbs. While component sizing is routinely individualized, the functional and survivorship implications of such asymmetry remain insufficiently studied. A clearer understanding is clinically relevant, as patient anatomy, bone stock, and soft-tissue balance often necessitate asymmetric sizing, yet evidence guiding its safety and outcomes is limited. This prospective multicenter study evaluated whether inter-limb differences in component sizing influence postoperative function, patient-reported outcomes, or revision risk in bTKA. Methods Patients undergoing cemented bTKA with standardized implants (metal femoral components, metal-backed tibial baseplates, and ultra-high-molecular-weight polyethylene inserts) were prospectively enrolled across 10 high-volume centers. Patients were stratified into Subset A (identical component sizes in both knees) and Subset B (different component sizes between knees). Clinical and functional outcomes were assessed preoperatively and postoperatively at regular intervals up to three years. Endpoints included range of motion (ROM), Knee Society Score (KSS), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), and 36-Item Short-Form Health Survey (SF-36). Radiographic assessment evaluated alignment, fixation, and implant stability. Minimal clinically important difference (MCID) thresholds were used to confirm the clinical relevance of improvements. Results A total of 166 patients (332 knees) were analyzed, with 140 in Subset A and 26 in Subset B. Baseline characteristics were comparable between groups. Both subsets demonstrated significant improvements in ROM and functional scores from baseline to three years (p<0.001 for within-group changes). Subset A achieved higher final ROM (123.6° vs. 118.1°; p<0.001) with less variability, and KSS were also significantly greater in this group (p<0.05). Subset B, despite inter-knee size differences, showed improvements similar to Subset A in WOMAC scores and demonstrated higher values in selected SF-36 domains, including physical functioning, role limitations, and emotional well-being (p<0.05). No implant-related complications, revisions, or radiographic failures were reported in either group during the three-year follow-up, and radiographs confirmed stable and well-aligned prostheses. Conclusion A one-size difference in femoral or tibial components between knees does not compromise clinical or functional outcomes in bTKA. While symmetric sizing may provide slightly greater ROM and KSS improvements, minor asymmetry is not detrimental and may even be associated with enhanced patient-reported quality-of-life domains. These findings support the practice of individualized component selection and reassure surgeons that small inter-limb differences in implant sizing do not negatively impact mid-term function or survivorship.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.008
GPT teacher head0.258
Teacher spread0.250 · 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
Published2025
Admission routes1
Has abstractyes

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