Arterial Embolization for Ruptured Adrenal Pheochromocytoma
Bibliographic record
Abstract
BACKGROUND: Spontaneous rupture of adrenal pheochromocytoma is an extremely rare condition that can be lethal. Optimal treatment in these cases is still unclear. METHODS: We conducted a comprehensive review of medline articles on ruptured pheochromocytomas to locate all research done on this topic. Based on the literature review and one additional case at European Gaza Hospital, we analyzed clinical presentations, hemorrhage site, tumour side, mortality rate, and treatment options. RESULTS: In addition to our case, we identified 53 cases of ruptured pheochromocytoma. A review of all 53 cases revealed that 17 (32%) of the patients died, and that no mortality occurred among the 12 patients who received an alpha-blocker (to control high blood pressure) and fluid infusion therapy before surgery. Only 3 patients, including our case, underwent elective surgery after transcatheter arterial embolization (tae). CONCLUSIONS: Surgical treatment should be considered for ruptured pheochromocytoma. Surgical approaches involve either emergency or elective surgery. It has been reported that emergency surgery is commonly associated with a high mortality rate; no deaths were reported in patients who underwent elective surgery. We therefore consider that, if a patient has hemodynamic instability, tae can be an effective and a safe procedure for achieving hemostasis and maintaining the patient in good condition until surgery can be performed.
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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 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".