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Record W2049332408 · doi:10.1002/jso.21058

Technical aspects of cytoreductive surgery

2008· review· en· W2049332408 on OpenAlexaff
Shigeki Kusamura, Sarah O’Dwyer, Dario Baratti, Rami Younan, Marcello Deraco

Bibliographic record

VenueJournal of Surgical Oncology · 2008
Typereview
Languageen
FieldMedicine
TopicIntraperitoneal and Appendiceal Malignancies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineCytoreductive surgeryMesenterySurgeryPeritoneal carcinomatosisPeritoneal mesotheliomaMalignancyHyperthermic intraperitoneal chemotherapyPseudomyxoma peritoneiGeneral surgeryAnastomosisMesotheliomaCancerOvarian cancerColorectal cancerInternal medicineAppendixPathology

Abstract

fetched live from OpenAlex

At the Fifth International Workshop on Peritoneal Surface Malignancy, in Milan, the consensus on technical aspects of cytoreductive surgery (CRS) for peritoneal surface malignancy was obtained through the Delphi process. Five conflicting points were discussed: radicality of the peritonectomy procedure, cytoreduction of neoplastic nodules <2.5 mm, the timing of bowel anastomoses in relation to hyperthermic intraperitoneal chemotherapy (HIPEC) and indications of protective ostomies. According to the panel of experts a partial parietal peritonectomy restricted to the macroscopically involved regions could be indicated in all listed clinical conditions with the exception of peritoneal mesothelioma. No expert was of the opinion that a radical parietal peritonectomy is advisable irrespective of the disease being treated. All the experts agreed that electrovaporization of small (<2.5 mm) non-infiltrating metastatic nodules in the mesentery would be appropriate, even if theoretically the HIPEC affords microscopic cytoreduction. The panel also agreed that in the closed technique for HIPEC administration the intestinal anastomoses should be fashioned after completion of the perfusion. Finally when considering the place for protective ostomies the experts voted for a flexible approach allowing the surgeon to exercise discretion for individual patients.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.946
Threshold uncertainty score0.864

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0060.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.065
GPT teacher head0.374
Teacher spread0.310 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreReview

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".

Quick stats

Citations22
Published2008
Admission routes1
Has abstractyes

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