Cytoreductive Surgery With Intraperitoneal Chemohyperthermia for the Treatment of Pseudomyxoma Peritonei: A Prospective Study
Bibliographic record
Abstract
PURPOSE: Pseudomyxoma peritonei is a rare disease. Recently, cytoreductive surgery with intraperitoneal hyperthermic chemotherapy has emerged as a promising treatment for this debilitating condition. The aim of this prospective study was to evaluate this treatment strategy. METHOD: Twenty-seven patients with pseudomyxoma peritonei who were treated by cytoreductive surgery and intraperitoneal chemohyperthermia between 1997 and 2003 were identified from a prospective database. RESULTS: Clinical presentation included suspected appendicitis (33 percent), increased abdominal girth (30 percent), and a suspected ovarian mass (26 percent). Twenty-two patients underwent surgery elsewhere before referral. Seventeen complications occurred in 12 patients (44 percent). Six were considered major: three anastomotic leaks, two pleural effusions, and one intra-abdominal abscess. Histologic examination demonstrated Grade 1, 2, and 3 disease in 8 (30 percent), 10 (37 percent), and 9 patients (33 percent), respectively. Pathologic grade showed a significant influence on the complication rate (P = 0 0.008). The actuarial five-year survival was 100 percent for patients with Grade 1 disease, whereas actuarial one-, two-, three-, and five-year survival for Grades 2 and 3 were 100, 80, 64, and 32 percent, respectively (P = 0.008). CONCLUSIONS: Cytoreductive surgery with intraperitoneal hyperthermic chemotherapy is a feasible treatment for pseudomyxoma peritonei. It is associated with acceptable morbidity when performed by an experienced surgical team. Histologic grade is the major determinant of survival.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".