Duhamel and Transanal Endorectal Pull-throughs for Hirschsprung' Disease: A Systematic Review and Meta-analysis
Bibliographic record
Abstract
AIM: The Duhamel pull-through and transanal endorectal pull-through (TEPT) are commonly used for the treatment of Hirschsprung's disease (HD). To date, there has been no meta-analysis evaluating postoperative outcomes following Duhamel pull-through and TEPT. The purpose of this meta-analysis was to compare patient outcome after Duhamel pull-through and TEPT for HD. MATERIALS AND METHODS: Original articles published between 1998 and 2016 were identified using the MEDLINE database. Studies comparing Duhamel pull-through and TEPT were included. Outcomes evaluated included incidence of postoperative constipation, incontinence/soiling, enterocolitis, anastomotic stricture, and leak. We analyzed dichotomous variables by estimating odds ratios (OR) with 95% confidence intervals (CI) and continuous variables using the weighted mean difference with 95% CI. The meta-analysis was done using RevMan 5.3. RESULT: = 0.004) was lower following Duhamel pull-through than TEPT. There were no significant differences in the incidence of postoperative incontinence/soiling and anastomotic leak. After TEPT, postoperative constipation seems to be lower and enterocolitis higher compared with those after Duhamel pull-through; however, these differences are not significant when the follow-up period is equal between groups. CONCLUSION: The Duhamel pull-through seems to be associated with lower incidence of anastomotic stricture compared with TEPT. The effects of the two analyzed operative techniques on constipation and enterocolitis remain unclear. The quality of evidence supporting the above findings is suboptimal, indicating the need for prospective studies.
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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 | 0.006 | 0.015 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.026 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".