Epidemiological and Prognostic Aspects of the Trauma during Pregnancy at the University Teaching Hospital Bogodogo (UTH-B) of Ouagadougou, Burkina Faso
Bibliographic record
Abstract
Objectives: To study the epidemiological and prognostic aspects of trauma during pregnancy at the University Teaching Hospital Bogodogo (UTH-B) of Ouagadougou, Burkina Faso.Patients and Methods: This was a descriptive retrospective study over a 2 year period from January 1, 2015 to December 31, 2017. Included in our sample were all pregnant women admitted for trauma during pregnancy in the department of gynecology and obstetric in the University Teaching Hospital Bogodogo of Ouagadougou.Results: We recorded 112 emergency consultations for trauma and pregnancy out of a total of 13,367 gynecoobstetrical consultations, or a frequency of 0.9%. The average age of our patients was 25.9 ± 5 years and the average parity was 3 with extremes of 0 and 8. Housewives accounted for 50% of patients and evacuation was the mode of admission in 74.6%. The etiologies of trauma were dominated by road accidents in 82.6% of cases, falls in 9.8% of cases and brawls in 7.6% of cases. The mean gestational age of onset of trauma was 26.3 ± 7. A notion of polytrauma was found in 4 patients. The fetal prognosis was marked in the 1st quarter by 3 cases of abortion, in the 2nd quarter by5 cases of intrauterine fetal death and in the 3rd quarter by 10 cases of threatened premature delivery.Conclusion: Trauma during pregnancy is frequent in the UTH-B. The implementation of a national prevention strategy for this association will improve the prognosis of mothers and children.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".