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Intraperitoneal Chemotherapy for Epithelial Ovarian Cancer

2006· review· en· W2080781649 on OpenAlexaff
M. Alhayki, Laura Hopkins, Tien Le

Bibliographic record

VenueObstetrical & Gynecological Survey · 2006
Typereview
Languageen
FieldMedicine
TopicOvarian cancer diagnosis and treatment
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsDebulkingMedicineOvarian cancerIntraperitoneal chemotherapyChemotherapyEpithelial ovarian cancerOncologyCancerInternal medicine

Abstract

fetched live from OpenAlex

UNLABELLED: A large, recent study has shown significantly improved survival in women with epithelial ovarian cancer treated with intraperitoneal chemotherapy. This review is intended for all clinicians caring for women with ovarian cancer, including family physicians, general gynecologists, and oncologists. The subset of patients most likely to derive a survival benefit from intraperitoneal chemotherapy should be distinguished. Because effective surgical debulking is critical to long-term survival for ovarian cancer, it is important that women known or suspected to have ovarian cancer should be referred to centers with the surgical expertise and resources necessary for aggressive tumor debulking and safe delivery of intraperitoneal chemotherapy. TARGET AUDIENCE: Obstetricians & Gynecologists, Family Physicians. LEARNING OBJECTIVES: After completion of this article, the reader should be able to state that there is a subset of women with widespread intraabdominal ovarian cancer who will have improved survival after a debulking procedure and intraperitoneal (IP) chemotherapy and explain that there needs to be the expertise and resources necessary to follow these 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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.984
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.110
GPT teacher head0.395
Teacher spread0.285 · 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.

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

Citations3
Published2006
Admission routes1
Has abstractyes

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