Diffuse Gastric Cancer During Pregnancy: Report of a Rare Association
Bibliographic record
Abstract
Gastric cancer during pregnancy is a rare event and difficult to diagnose, as the symptoms can be confused with those of an ordinary pregnancy. We report a case of a 25-year-old patient with a 29-week gestation, with asthenia complaint, vomiting and weight loss. During the investigation of wasting syndrome endoscopy was performed with infiltrative ulcerative lesions in pre-pyloric region with biopsy revealing carcinoma with signet ring, undifferentiated type. It was held on a strict control of fetal vitality, and pregnancy was interrupted via the abdominal delivery at 34 weeks. Soon after the cesarean section was performed, exploratory laparotomy was performed to perform inventory of the abdominal cavity, being observed the presence of carcinomatous implants in the peritoneum. In the face of irresectability clinical conduct was adopted and the patient was sent to chemotherapy, ensuring nutrition via a jejunostomy. The article reviews the gastric carcinoma association with pregnancy, discussing the initiation of treatment and continuity of pregnancy.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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".