Profile of Obstetrics Fistula Clients; is the trend changing?
Bibliographic record
Abstract
Aims: To assess the changes in the profiles of obstetric fistula clients. Methods: This was a retrospective review of the medical records of all obstetric fistula clients managed by the Oyo state fistula team at University College Hospital and Adeoyo Maternity Hospital Ibadan, Nigeria. A proforma was used to extract information on socio-demographic and obstetric characteristics of clients and was analyzed using SPSS 25.0. Level of significance was set at P <0.05. Results: The median age and number of pregnancy with occurrence of fistula were 34 years and 2 respectively. Above a quarter (32.2%) had at least secondary level of education, three quarter (75.2%) were currently married and about half were traders. Only 20 (22%) booked the pregnancy that resulted in fistula with 44 (44.9%) delivering through cesarean section. Majority 70 (72.9%) of the fetuses were stillbirth. Conclusions: The widely held believe of a typical obstetric patient still holds but substantial cases of fistula occurred in multiparous women and at older age.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".