Obesity and Outcome of Crohn’s Associated Perianal Fistula Surgery: A Case-Control Study
Bibliographic record
Abstract
BACKGROUND: ) adversely affects several outcomes in Crohn's disease (CD). CD-associated perianal fistula (CDPF) represents a debilitating phenotype with a clinical course that may be affected by obesity. We hypothesized that obese CD patients would be more likely to have poor outcomes following CDPF surgery. METHODS: We designed a case-control study of CD patients who underwent surgery for CDPF between 2000 and 2013 with documented pre-operative BMI and post-operative outcome. Cases and controls were defined based on the outcome of CDPF surgery. Poor outcomes were designated as cases. RESULTS: Of the 317 patients diagnosed with CDPF, 73 patients underwent 120 surgeries for CDPF. Eighty-nine (74%) of the surgeries comprised fistulotomy with or without Seton placement, whereas 31 (26%) were mucosal flap procedures. Twenty-five (21%) cases and 95 (79%) controls were identified. Unadjusted odds ratio (OR) for the association between obesity and outcome demonstrated a trend towards a poor surgical outcome among obese patients that did not reach statistical significance (OR: 1.86; 95% confidence interval (CI): 0.58 - 5.98; P = 0.295). Multivariable logistic regression analysis demonstrated an even stronger trend towards a poor outcome among obese CD patients, albeit without reaching statistical significance (OR: 2.83; 95% CI: 0.64 - 12.49; P = 0.169). CONCLUSION: In patients undergoing Seton placement, fistulotomy or mucosal flap procedure for CDPF, there is a trend towards poor outcomes in the obese; however, as this trend did not reach statistical significance, this association should be examined further.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".