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Record W3042578942 · doi:10.3747/co.27.6033

Indications for Hyperthermic Intraperitoneal Chemotherapy with Cytoreductive Surgery: A Clinical Practice Guideline

2020· article· en· W3042578942 on OpenAlexafffundvenueabout
Rebecca C. Auer, Duvaraga Sivajohanathan, Jim Biagi, James Conner, Erin Kennedy, Taymaa May

Bibliographic record

VenueCurrent Oncology · 2020
Typearticle
Languageen
FieldMedicine
TopicIntraperitoneal and Appendiceal Malignancies
Canadian institutionsUniversity Health NetworkNortheast Cancer CentreCancer Care OntarioMcMaster UniversityMount Sinai HospitalPrincess Margaret Cancer CentreOttawa Hospital
FundersCancer Care Ontario
KeywordsMedicineHyperthermic intraperitoneal chemotherapyGuidelineOvarian cancerOxaliplatinContext (archaeology)Colorectal cancerCytoreductive surgeryClinical trialOncologySurgeryGeneral surgeryInternal medicineCancerPathology

Abstract

fetched live from OpenAlex

Objective: The purpose of the present review was to provide evidence-based guidance about the provision of cytoreductive surgery (crs) with hyperthermic intraperitoneal chemotherapy (hipec) in the treatment of peritoneal cancers. Methods: The guideline was developed by the Program in Evidence-Based Care together with the Surgical Oncology Program at Ontario Health (Cancer Care Ontario) through a systematic review of relevant literature, patient- and caregiver-specific consultation, and internal and external reviews. Results: Recommendation 1a: For patients with newly diagnosed stage iii primary epithelial ovarian or fallopian tube carcinoma, or primary peritoneal carcinoma, hipec should be considered for those with at least stable disease after neoadjuvant chemotherapy at the time that interval crs (if complete) or optimal cytoreduction is achieved. Recommendation 1b: There is insufficient evidence to recommend the addition of hipec when primary crs is performed for patients with newly diagnosed advanced primary epithelial ovarian or fallopian tube carcinoma, or primary peritoneal carcinoma, outside of a clinical trial. Recommendation 2: There is insufficient evidence to recommend hipec with crs in patients with recurrent ovarian cancer outside the context of a clinical trial. Recommendation 3: There is insufficient evidence to recommend hipec with crs in patients with peritoneal colorectal carcinomatosis outside the context of a clinical trial. Recommendation 4: There is insufficient evidence to recommend hipec with crs for the prevention of peritoneal carcinomatosis in colorectal cancer outside the context of a clinical trial; however, hipec using oxaliplatin is not recommended. Recommendation 5: There is insufficient evidence to recommend hipec with crs for the treatment of gastric peritoneal carcinomatosis outside the context of a clinical trial. Recommendation 6: There is insufficient evidence to recommend hipec with crs for the prevention of gastric peritoneal carcinomatosis outside the context of a clinical trial. Recommendation 7: There is insufficient evidence to recommend hipec with crs as a standard of care in patients with malignant peritoneal mesothelioma; however, patients should be referred to hipec specialty centres for assessment for treatment as part of an ongoing research protocol. Recommendation 8: There is insufficient evidence to recommend hipec with crs as a standard of care in patients with disseminated mucinous neoplasm in the appendix; however, patients should be referred to hipec specialty centres for assessment for treatment as part of an ongoing research protocol.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0050.005
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0040.002
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0060.003

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 head0.164
GPT teacher head0.466
Teacher spread0.302 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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

Citations34
Published2020
Admission routes4
Has abstractyes

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