Risk factors for Hirschsprung disease-associated enterocolitis: a systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: The incidence of Hirschsprung disease (HSCR) is nearly 1/5000 and patients with HSCR are usually treated through surgical intervention. Hirschsprung disease-associated enterocolitis (HAEC) is a complication of HSCR with the highest morbidity and mortality in patients. The evidence on the risk factors for HAEC remains inconclusive to date. METHODS: Four English databases and four Chinese databases were searched for relevant studies published until May 2022. The search retrieved 53 relevant studies. The retrieved studies were scored on the Newcastle-Ottawa Scale by three researchers. Revman 5.4 software was employed for data synthesis and analysis. Stata 16 software was employed for sensitivity analysis and bias analysis. RESULTS: A total of 53 articles were retrieved from the database search, which included 10 012 cases of HSCR and 2310 cases of HAEC. The systematic analysis revealed anastomotic stenosis or fistula [ I2 =66%, risk ratio (RR)=1.90, 95% CI 1.34-2.68, P <0.001], preoperative enterocolitis ( I2 =55%, RR=2.07, 95% CI 1.71-2.51, P <0.001), preoperative malnutrition ( I2 =0%, RR=1.96, 95% CI 1.52-2.53, P <0.001), preoperative respiratory infection or pneumonia ( I2 =0%, RR=2.37, 95% CI 1.91-2.93, P <0.001), postoperative ileus ( I2 =17%, RR=2.41, 95% CI 2.02-2.87, P <0.001), length of ganglionless segment greater than 30 cm ( I2 =0%, RR=3.64, 95% CI 2.43-5.48, P <0.001), preoperative hypoproteinemia ( I2 =0%, RR=1.91, 95% CI 1.44-2.54, P <0.001), and Down syndrome ( I2 =29%, RR=1.65, 95% CI 1.32-2.07, P <0.001) as the risk factors for postoperative HAEC. Short-segment HSCR ( I2 =46%, RR=0.62, 95% CI 0.54-0.71, P <0.001) and transanal operation ( I2 =78%, RR=0.56, 95% CI 0.33-0.96, P =0.03) were revealed as the protective factors against postoperative HAEC. Preoperative malnutrition ( I2 =35 % , RR=5.33, 95% CI 2.68-10.60, P <0.001), preoperative hypoproteinemia ( I2 =20%, RR=4.17, 95% CI 1.91-9.12, P <0.001), preoperative enterocolitis ( I2 =45%, RR=3.51, 95% CI 2.54-4.84, P <0.001), and preoperative respiratory infection or pneumonia ( I2 =0%, RR=7.20, 95% CI 4.00-12.94, P <0.001) were revealed as the risk factors for recurrent HAEC, while short-segment HSCR ( I2 =0%, RR=0.40, 95% CI 0.21-0.76, P =0.005) was revealed as a protective factor against recurrent HAEC. CONCLUSION: The present review delineated the multiple risk factors for HAEC, which could assist in preventing the development of HAEC.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.008 | 0.009 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".