Mucinous appendiceal neoplasms with or without pseudomyxoma peritonei: a review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Mucinous appendiceal neoplasms (MANs) are rare tumours and the primary cause of pseudomyxoma peritonei. These tumours have a much more benign course than typical colorectal cancers, generally growing for many years before giving any clinical signs. The spectrum of presentations, tumour stages and the underlying cytology is very wide, warranting from the simplest operation like an appendicectomy to the most complicated operation like a complete cytoreduction surgery and hyperthermic intraperitoneal chemotherapy. Fortunately, most patients can be offered a curative treatment, but limiting operative morbidity without compromising oncologic outcomes is the biggest challenge in managing these patients. Histopathology is the cornerstone of decision making for MANs, but is also subject to ongoing debate because of a lack of terminology consensus amongst pathologists. Combined with the rarity of this disease, the multiple histopathologic classification updates of MANs explain the ongoing confusion amongst clinicians in regard to individual optimal treatment. This review will cover the most recent histological classification of MANs and attempt to clarify optimal management of patients with different clinical presentation and histologic combinations.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.009 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 it