[Analysis of clinical characteristics of perianal Crohn's disease in a single-center].
Bibliographic record
Abstract
OBJECTIVE: To discuss the clinical features of perianal Crohn disease (PCD). METHODS: Clinical data of 52 PCD patients who were treated at the Department of Colorectal Surgery, Affiliated Hospital of Nanjing University of Chinese Medicine from June 2011 to October 2014 were analyzed retrospectively. Montreal classification, clinical symptoms, the subtype of perianal lesions, history of perianal surgery and medical treatment, disease active indexes, serum inflammation markers and nutritional indexes were included. RESULTS: Among 52 patients, there were 40 males and 12 females with a mean age of (27.9±9.1) years. According to Montreal classification, 51.9%(27/52) of patients had ileocolic involvement and 75.0%(39/52) had inflammatory disease behavior. Thirteen (25.0%) and 15(28.8%) patients had abdominal pain and diarrhea respectively at admission. With respect to the subtype of perianal lesions, there were 32(61.5%) cases of anal fistula and 16(30.8%) cases of perianal abscess. Thirty-nine(75.0%) and 33(63.5%) patients had a history of perianal surgery and medical treatment before admission resepectively. Laboratory findings revealed high C-reaction protein level in 63.5%(33/52), high erythrocyte sedimentation rate in 61.5%(32/52), elevated platelet in 32.7%(17/52), low body weight in 44.2%(23/52), low albumin in 26.9%(14/52) and anemia in 42.3%(22/52) of patients. CONCLUSIONS: The clinical features of PCD patients include male predominant, early onset disease, high prevalence of ileocolic involvement and inflammation disease behavior. Features prompting underlying PCD diagnosis include characteristic gastrointestinal symptoms, requiring multiple perianal surgery, and abnormality of inflammation markers and nutritional indexes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".