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Record W7103899744 · doi:10.48448/v004-da80

Mild flexion of the femoral component sagittal alignment in TKA may improve long-term clinical outcomes and component survival: A systematic review

2025· other· W7103899744 on OpenAlexaboutno aff

Bibliographic record

VenueUnderline Science Inc. · 2025
Typeother
Language
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsSagittal planeCoronal planeRange of motionArthroplastyProsthesisTotal knee arthroplastyInclusion and exclusion criteriaCondyle

Abstract

fetched live from OpenAlex

Background Total Knee Arthroplasty (TKA) is a beneficial procedure in orthopedics, but malpositioning of the femoral TKA component can cause dissatisfaction or failure. Most existing research focuses on coronal and rotational positioning, making positioning in the sagittal plane relatively unexplored. The objective of this systematic review is to determine whether variations in femoral component sagittal alignment (flexion or extension positioning) influence patient-reported outcomes, range of motion, anterior knee pain, component loosening, and prosthesis survival. Methods This systematic review was performed according to the guidelines of the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) protocols (PROSPERO ID number: CRD420251044455). A comprehensive search of PubMed, Cochrane Library databases, and SPORTDiscus was performed between January 2015 and April 2025. Keywords included Total Knee Arthroplasty, Revision Total Knee Arthroplasty, Femoral Component, Sagittal Alignment, Femoral Flexion Angle, Extension Alignment, Posterior Condylar Offset, and Patient-Reported Outcome Measures. After screening 2137 initial results, 10 studies were deemed to meet inclusion and exclusion criteria, with 9 being prospective/retrospective cohort studies and 1 Randomized Control Trial (RCT). Study characteristics and outcomes were extracted, and quality assessment performed for using Cochrane Risk of Bias tool (RCTs) and Newcastle-Ottawa Scale (cohort studies). Results A total of 5,205 TKAs were performed among the 10 studies, each with different sagittal alignment grouping thresholds and functional outcome scales. 5/10 studies identified the optimal sagittal alignment to be approximately 1-4° flexion for OKS, WOMAC, KSFS, or KSS functional scores, while 1 study found slightly improved AKSS with 1–5° extension. 2 studies did not identify optimum femoral angles for functional score outcomes. For ROM, 5/10 studies identified the optimum sagittal angle for ROM to be 1-7° flexion. Only 2 studies explored failure rate, with 1 study reporting the best failure rate (0%) in neutral alignment 0-3° and the other stating no cases of loosening at 1 year for any group. Anterior knee pain was only reported by 1 study with best outcomes at 1.4° flexion. Conclusion Of the 10 studies, mild sagittal flexion (1-4°) appears to appropriately balance functional outcomes, ROM, survival, and pain. However, the heterogeneity of the included studies in terms of grouping measurement as well as functional outcomes precluded our ability to conduct a meta-analysis and generate exact quantitative outcomes as to the optimal sagittal alignment of the femoral component. More RCTs are needed to explore sagittal component positioning with consistent femoral flexion angle grouping criteria and clinical outcome measurements.

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)0.008
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.036
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0090.011
Bibliometrics0.0060.006
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.056
GPT teacher head0.375
Teacher spread0.319 · 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 designSystematic review
Domainnot available
GenreReview

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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