Clinical evaluation of total hip arthroplasty for osteoarthropathy secondary to septic hip arthritis
Bibliographic record
Abstract
To investigate the clinical efficacy and prognosis of total hip arthroplasty (THA) in patients with osteoarthropathy secondary to septic hip arthritis. A total of 100 patients with osteoarthropathy secondary to septic hip arthritis who underwent surgery in our hospital from December 2010 to December 2021 were selected. Operative data were summarized. Moreover, preoperative and postoperative differences in Harris score, Western Ontario and McMaster Universities Osteoarthritis Index score, Visual Analogue Scale score, hip mobility were compared. Due to hospital transfer, the epidemic of COVID-2019 and other reasons, 10 patients were lost to follow-up and finally 90 patients were recorded. According to the results, the mean operation time (OT) was 1.78 ± 0.32 (hour), the mean intraoperative blood loss (BL) was 586.62 ± 31.66 (mL), the mean red blood cell (RBC) transfusion was 3.84 ± 0.75 (U), and 2 cases were positive, and 88 cases were negative for Trendelenburg sign. Postoperatively, the unequal length of the lower limbs and the Visual Analogue Scale score were significantly lower than that of the preoperative, while the Western Ontario and McMaster Universities Osteoarthritis Index score, Harris score, and hip joint range of motion were significantly higher than those of the preoperative (P < .05). At the last follow-up, all the incisions healed with no deep infections, 1 case suffered from transient sciatic nerve palsy, 2 cases had intermuscular venous thrombosis, and 2 cases who occurred hip dislocation recovered after treatment. THA surgery for osteoarthropathy secondary to septic hip arthritis has a good effect, relieving the patient's pain effectively, improving prognosis and joint mobility. For osteoarthropathy secondary to septic hip arthritis, THA may be meaningful in terms of prognosis.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".