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Neoadjuvant Chemotherapy Versus Debulking Surgery in Advanced Tubo-Ovarian Cancers: Pooled Analysis of Individual Patient Data From the EORTC 55971 and CHORUS Trials

2019· article· en· W2921624236 on OpenAlexaff
Ignace Vergote, Corneel Coens, Matthew Nankivell, Gunnar B. Kristensen, Mahesh Parmar, Tom Ehlen, Gordon C. Jayson, Nick Johnson, Ann Marie Swart, René H.M. Verheijen, W. Glenn McCluggage, Timothy Perren, Pierluigi Benedetti Panici, Gemma G. Kenter, Antonio Casado, César Mendiola, Gavin Stuart, N.S. Reed, Sean Kehoe

Bibliographic record

VenueObstetrical & Gynecological Survey · 2019
Typearticle
Languageen
FieldMedicine
TopicOvarian cancer diagnosis and treatment
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineDebulkingOvarian cancerFallopian tubeOvaryRandomized controlled trialChemotherapySurgeryOncologyInternal medicineCancer

Abstract

fetched live from OpenAlex

(Abstracted from Lancet Oncol 2018;19:1680–1687) Most women with carcinoma of the ovary, fallopian tube, or peritoneum (tubo-ovarian cancer) present with advanced disease and have a very poor prognosis. An essential therapeutic strategy in these women has been primary debulking surgery (PDS), but no randomized controlled trials have demonstrated an improved prognosis of patients with this strategy.

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)0.007
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.011
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
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 head0.141
GPT teacher head0.351
Teacher spread0.210 · 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 designMeta-analysis
Domainnot available
GenreEmpirical

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

Citations37
Published2019
Admission routes1
Has abstractyes

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