What Works Best, a Cemented or Cementless Primary Total Hip Arthroplasty?: Minimum 17-year Followup of a Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Total hip arthroplasty (THA) has been associated with high survival rates, but debate remains concerning the best fixation mode of THA. QUESTIONS/PURPOSES: We conducted a randomized controlled trial (RCT) with 250 patients with a mean age of 64 years between October 1987 and January 1992 to compare the results of cementless and cemented fixation. PATIENTS AND METHODS: Patients were evaluated for revision of either of the components. One hundred twenty-seven patients had died (51%) and 12 (4.8%) were lost to followup. The minimum 17-year followup data (mean, 20 years; range, 17-21 years) for 52 patients of the cementless group and 41 patients of the cemented group were available for evaluation. RESULTS: Kaplan-Meier survivorship analysis at 20 years revealed lower survival rates of cemented compared with cementless THA. The cementless tapered stem was associated with a survivorship of 99%. Age younger than 65 years and male gender were predictors of revision surgery. CONCLUSIONS: The efficacy of future RCTs can be enhanced by randomizing patients in specific patient cohorts stratified to age and gender in multicenter RCTs. Including only younger patients might improve the efficacy of a future RCT with smaller sample sizes being required. A minimum 10-year followup should be anticipated, but this can be expected to be longer if the difference in level of quality between the compared implants is smaller. LEVEL OF EVIDENCE: Level I, therapeutic study. See Guidelines for Authors for a complete description of levels of evidence.
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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 | 0.033 | 0.063 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.010 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.008 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".