Bibliographic record
Abstract
目的：比较转子下截骨全髋置换术治疗Hartofilakidis C1和C2型成人髋关节发育不良的差异及安全性。方法：回顾性分析2007年1月至2011年12月就诊于北京积水潭医院的32例髋关节发育不良患者的临床资料，其中C1型17例，C2型15例，均行转子下截骨全髋关节置换术，术前评估和术后随访采用HSS （ hospital for special surgery knee score）和WOMAC（ the Western Ontario and McMaster Universities）评分，拍摄髋关节X线片，测量双下肢不等长，记录跛行等并发症。结果：C1型HSS评分由43．7±4．6提升到87．2±7．1，WOMAC评分由43．6±4．3提升至87．5±6．7；C2型HSS评分由44．4±5．4提升到86．5±8．0，WOMAC评分由44．1±4．1提升至86．7±8．1，术后功能评分均较术前有明显改善（均P＜0．001）。 C2型中4例出现术中骨折，C1型中1例出现术中骨折，术后随访均愈合。术后X线片提示关节假体位置满意，无松动，股骨截骨处均愈合，无感染。结论：股骨转子下截骨全髋置换术治疗高位脱位的髋关节发育不良患者可以取得较好疗效，不同亚型（ C1和C2型）在疗效上无明显差异， C2型应注意避免发生术中骨折。
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 0.004 |
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".