Cronkhite-Canada综合征的血清免疫球蛋白特征：单中心回顾性研究
Bibliographic record
Abstract
目的探讨Cronkhite-Canada综合征(Cronkhite-Canada syndrome，CCS)患者血清免疫球蛋白特征及其临床价值。方法纳入2009年12月至2024年9月于北京协和医院收治并进行血清免疫球蛋白检测的CCS患者，回顾性分析其临床特点及辅助检查结果。结果共纳入52例患者，男36例(69.2%)，女16例(30.8%)，中位起病年龄60(54~64)岁，起病至诊断的中位时间为5(3~12)个月。常见临床表现包括腹泻(86.5%)、腹痛(40.4%)、便血(19.2%)、体重下降(86.5%)、指甲营养不良(100.0%)、色素沉着(88.5%)、毛发脱落(84.6%)、味觉减退(69.2%)等。21例(50.0%)患者存在血清IgG下降，20例(71.4%)的患者存在总IgE升高。11例(23.4%)血清IgG4高于参考值，IgG4升高组与IgG4正常组间的临床指标无显著差异，活动期CCS患者(n=43)与缓解期患者(n=27)的IgG4水平比较差异无统计学意义。总IgE升高组的毛发脱落率显著高于IgE正常组(P=0.0383)。结论CCS患者存在外周血免疫球蛋白紊乱，其中IgE升高与毛发脱落有关，提示CCS患者的毛发脱落可能与免疫介导机制相关。
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".