Chronic schistosomiasis infection and obstetric fistula repair outcomes in Lubango, Angola: A retrospective chart review
Bibliographic record
Abstract
Abstract Objective To assess the association between chronic schistosomiasis infection, determined by bladder biopsies, and vesicovaginal (VVF) repair outcomes at an urban hospital in Angola. Other objectives were to quantify the prevalence of chronic schistosomiasis among patients with VVF and to assess agreement between pelvic X‐rays and bladder biopsies for chronic schistosomiasis diagnosis. Methods In this retrospective chart review, data were collected on patients who underwent VVF repair between 1 June 2022 and 30 November 2022 including: age, number of previous fistula repairs, Goh classification of fistula, X‐ray and biopsy results, fistula repair outcome, perioperative complications and postoperative incontinence. Age and number of previous repairs were described using means with standard deviations. Goh classification, X‐ray and biopsy results, fistula repair outcome, perioperative complications, and postoperative incontinence were described using frequencies. Parametric and nonparametric tests and Cohen's κ were calculated using R software and Excel. Results Of the 76 charts retrieved, 60 met inclusion criteria. The overall fistula repair failure rate was 26.7% ( n = 16). There was no difference in the fistula repair failure rate between those with (26.9%) and without (26.5%) evidence of chronic schistosomiasis infection ( χ 2 = 2.33 e‐31, 95% confidence interval [CI]: −0.30, 0.28). The prevalence of chronic schistosomiasis was 43.3%. There was no agreement between X‐ray and biopsy in diagnosing chronic schistosomiasis infection (Cohen's κ = 0.23, 95% CI: −0.001, 0.47). Conclusion There was no difference in the chance of fistula repair failure between those with evidence of chronic schistosomiasis infection and those without.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".