Stable, Dependable Fixation of Short-stem Femoral Implants at 5 Years
Bibliographic record
Abstract
Conventional uncemented femoral implants provide dependable long-term fixation in patients with a wide range of clinical function. However, challenges with proximal-distal femoral mismatch, preservation of bone stock, and minimally invasive approaches have led to exploration into various other implant designs. Short-stem designs focusing on a stable metaphyseal fit have emerged to address these challenges in total hip arthroplasty (THA). The purpose of this study was to present the 5-year clinical and radiographic results of a computed tomography-based, custom-made, metaphyseal-engaging short-stem femoral implant.Sixty-one patients with an average age of 61 years (range, 22-75 years) and average body mass index of 28.9 kg/m(2) (range, 20.3-44.1 kg/m(2)) at follow-up underwent 69 THAs with the metaphyseal-engaging short stem. Clinical performance was evaluated using the Harris Hip Score and Western Ontario and McMaster Universities Arthritis Index score, and radiographs were reviewed for stability and bony ingrowth. Harris Hip Score averaged 55 (range, 20-90) preoperatively and 96 (range, 55-100) postoperatively. Western Ontario and McMaster Universities Arthritis Index score averaged 51 (range, 13-80) preoperatively and 3 (range, 0-35) postoperatively. No cases of subsidence were observed, and no revision surgeries were performed. Bone remodeling was typified by endosteal condensation and cortical hypertrophy in Gruen zones 2, 3, 5, and 6. At 5-year follow-up, the uncemented, metaphyseal-engaging short stem was stable and exhibited proximal bone remodeling closer to the metaphysis than conventional stems. Short-stem, metaphyseal-engaging femoral implants can meet the goals of a successful THA.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".