Late abdominal pregnancy in a post-conflict context: case of a mistaken acute abdomen - a case report
Bibliographic record
Abstract
BACKGROUND: Abdominal pregnancies have been reported in both high-income countries as well as low- and middle-income countries. They are frequently missed in routine antenatal care in resource-limited settings and delayed diagnosis is usually associated with poor fetal and maternal outcomes including death. This case report is among the first from eastern Democratic Republic of Congo (DRC), a post-conflict region. CASE PRESENTATION: In this case study, we present a 25 year-old primigravida patient referred to HEAL Africa hospital for management of an acute abdomen at 33-weeks gestation. Her chief complaint was severe abdominal pain associated with each fetal movement for a period of 1 week prior to admission. A diagnosis of peritonitis was made. Emergency laparotomy revealed a normal live 2 kg baby with placental implantation on the greater omentum and small intestine mesentery. The placenta was not removed. Both maternal and fetal outcomes were good. CONCLUSION: Abdominal pregnancy with a normal live fetus at such an advanced gestational age is rare. This case reminds clinicians that abdominal pregnancy remains a differential diagnosis for painful fetal movements.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".