Bowel obstruction in advanced tubo-ovarian cancer: a retrospective cohort study
Bibliographic record
Abstract
Background: Ten to fifty percent of women with advanced or recurrent ovarian cancer develop malignant bowel obstruction (MBO). We described the management and examined the complications and survival of MBO in primary epithelial tubo-ovarian cancer patients. Materials and methods: The authors conducted a retrospective monocentric cohort study of tubo-ovarian cancer patients diagnosed with MBO between January 1st, 2011 until August 31st, 2017 at the University Hospitals Leuven, Belgium. Results: Seventy-three patients with a total of 165 MBO episodes (median 1/patient; range 1–14) were included. The median time interval between cancer diagnosis and first MBO episode was 373 days (range 0–1937). The median time interval between MBO episodes was 44 days (range 6–2004). Complications were bowel perforation (n=5; 7%) and bowel ischemia (n=1; 1%). Conservative treatment was applied in 150 (91%) episodes, including gastrostomy in 4 (2%) episodes and octreotide in 79 (48%) episodes. Surgery was necessary in 15 (9%) episodes. Total parenteral nutrition was administered in 16 (22%) patients. During the study period 62 (85%) patients died (median 167 days since first MBO; range 6–2256). A significant difference in survival was found regarding the tumor marker CA 125 at cancer diagnosis, the use of palliative chemotherapy after the first episode of MBO and palliative surgical treatment for MBO in a group of well selected patients. Conclusion: Tubo-ovarian cancer patients with MBO have a poor prognosis: 85% of the study population died within a relatively short time interval since the first MBO. In our study population, the majority of patients with MBO were treated conservatively. Both palliative chemotherapy and palliative surgical management are considerable treatment options depending on the individual patient profile.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".