A Systematic Review and Meta-Analysis of Comparing Drainage Alone versus Drainage with Primary Fistula Treatment for the Perianal Abscess in Children
Bibliographic record
Abstract
This systematic review and meta-analysis of nonrandomized studies (NRSs) aimed to evaluate the clinical efficacy and safety of two types of surgical interventions (respectively drainage alone and drainage with primary fistula treatment) for perianal abscesses (PAs) in children. Studies from 1992 to July 2022 were searched in 10 electronic databases. All relevant NRSs with available data which compared surgical drainage with or without primary fistula treatment were included. Patients with underlying diseases which led to abscess formation were excluded. The Newcastle-Ottawa Scale was used to assess the risk of bias and quality of the included studies. The outcomes were the healing rate, fistula formation rate, fecal incontinence, and wound healing duration. A total of 16 articles with 1,262 patients were considered suitable for the final meta-analysis. Primary fistula treatment was associated with a significantly higher healing rate when compared with incision and drainage alone (odds ratio [OR]: 5.76, 95% confidence interval [CI]: 4.04-8.22). This aggressive procedure for PA resulted in an 86% reduction in the fistula formation rate (OR: 0.14, 95% CI: 0.06-0.32). Limited data showed patients who underwent primary fistula treatment have a minor effect on postoperative fecal incontinence. Primary fistula treatment demonstrates a better clinical efficacy in promoting the healing rate and decreasing the formation of fistulas in PAs in children. The available evidence for a minor impact on anal function after this intervention is less strong.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.013 | 0.040 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.022 | 0.040 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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".