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Record W2008014522 · doi:10.3747/co.22.2058

Guidelines on the Use of Cytoreductive Surgery and Hyperthermic Intraperitoneal Chemotherapy in Patients with Peritoneal Surface Malignancy Arising from Colorectal or Appendiceal Neoplasms

2015· article· en· W2008014522 on OpenAlexaffvenueabout
Pierre‐André Dubé, Lucas Sidéris, Calvin Law, Lloyd A. Mack, Erika Haase, Carman A. Giacomantonio, Anand Govindarajan, Monika K. Krzyzanowska, Pierre Major, Yarrow J. McConnell, Walley Temple, Rami Younan, J. Andrea McCart

Bibliographic record

VenueCurrent Oncology · 2015
Typearticle
Languageen
FieldMedicine
TopicIntraperitoneal and Appendiceal Malignancies
Canadian institutionsCentre Hospitalier de l’Université de MontréalUniversity of British ColumbiaPrincess Margaret Cancer CentreUniversity of CalgaryMount Sinai HospitalHealth Sciences CentreDalhousie UniversityUniversity of TorontoJuravinski Cancer CentreSunnybrook Health Science CentreUniversity of AlbertaUniversité de MontréalHôpital Maisonneuve-Rosemont
FundersSanofiPfizerAmgen
KeywordsMedicineHyperthermic intraperitoneal chemotherapyCytoreductive surgeryMalignancyMultidisciplinary teamGeneral surgeryChemotherapyColorectal cancerSurgeryOncologyInternal medicineCancerOvarian cancer

Abstract

fetched live from OpenAlex

To meet the needs of patients, Canadian surgical and medical oncology leaders in the treatment of peritoneal surface malignancies (psms), together with patient representatives, formed the Canadian HIPEC Collaborative Group (chicg). The group is dedicated to standardizing and improving the treatment of psm in Canada so that access to treatment and, ultimately, the prognosis of Canadian patients with psm are improved. Patients with resectable psm arising from colorectal or appendiceal neoplasms should be reviewed by a multidisciplinary team including surgeons and medical oncologists with experience in treating patients with psm. Cytoreductive surgery and hyperthermic intraperitoneal chemotherapy should be offered to appropriately selected patients and performed at experienced centres. The aim of this publication is to present guidelines that we recommend be applied across the country for the treatment of psm.

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)0.005
metaresearch head score (Gemma)0.012
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 score0.102
Threshold uncertainty score0.204

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0030.002

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 head0.229
GPT teacher head0.359
Teacher spread0.129 · 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

Citations76
Published2015
Admission routes3
Has abstractyes

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