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Record W2165086348 · doi:10.1586/14737140.2014.866041

Management of advanced or recurrent cervical cancer: chemotherapy and beyond

2014· review· en· W2165086348 on OpenAlexaff
Laurie Elit, Hal W. Hirte

Bibliographic record

VenueExpert Review of Anticancer Therapy · 2014
Typereview
Languageen
FieldMedicine
TopicEndometrial and Cervical Cancer Treatments
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineTopotecanBevacizumabOncologyChemotherapyVinorelbineInternal medicineRegimenTaxaneCombination chemotherapyToxicityCervical cancerPharmacologyCancerBreast cancerCisplatin

Abstract

fetched live from OpenAlex

Metastatic or recurrent cervical cancer has a survival duration of approximately 12 months. Thus, we review the outcomes of chemotherapy and/or novel agents for women who present in this situation. Included were studies in women with advanced or recurrent cervical cancer where at least response rate, survival or toxicity were reported. Platinum alone chemotherapy at 50 mg/m(2) is superior to other single-agent platinum or nonplatinum regimens in terms of efficacy and toxicity profile. Platinum with either paclitaxel, gemcitibine, topotecan or vinorelbine has equivalent efficacy but differ with respect to toxicity profile and convenience of treatment regimen. Bevacizumab in addition to combination chemotherapy provides a duration of survival that is 3.7 months longer than that provided by combination chemotherapy alone. EGF receptor (EGFR) tyrosine kinase inhibitor agents did not provide promising efficacy. Bevacizumab in addition to combination chemotherapy provides superior efficacy with acceptable toxicity. Evaluation of other novel targeted antiangiogenic agents, either alone or in combination with chemotherapy is ongoing.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.046
GPT teacher head0.421
Teacher spread0.375 · 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
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

Citations47
Published2014
Admission routes1
Has abstractyes

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