Bibliographic record
Abstract
目的 探讨全髋关节置换(THA)术中、术后股骨假体周围骨折(PFF)的治疗方法及疗效.方法 回顾性分析2002年1月至2009年12月收治的24例THA术中、术后PFF患者资料,男13例,女11例；年龄33 ～ 85岁,平均63.6岁.骨折根据Vancouver分型:A型7例,B型12例(B1型3例,B2型8例,B3型1例),C型5例.术中出现PFF 5例,术后外伤所致PFF 19例.非手术治疗4例,手术治疗20例.手术方式包括钢丝环扎、记忆合金环抱器、锁定钢板、长柄翻修假体结合植骨等.结果 所有患者术后获8 ～52个月(平均23.8个月)随访.24例患者骨折获骨性愈合,愈合时间为3～11个月,平均5.5个月.末次随访时髋关节Harris评分平均为80.3分(68 ～95分),其中优7例,良12例,可4例,差1例,优良率为79.2％.1例B2型骨折患者保守治疗后发生畸形愈合. 结论 对于THA术中、术后PFF,治疗方案需结合骨折部位、假体有无松动、局部骨质量及身体状况而定,其治疗原则是移位骨折需进行牢固固定,松动假体要进行翻修,严重骨缺损需要植骨处理。
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.080 | 0.113 |
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; both teacher heads agree on what is shown here.
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".