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Record W1808718376 · doi:10.6004/jnccn.2013.0217

Emerging Treatments in Recurrent and Metastatic Colorectal Cancer

2013· review· en· W1808718376 on OpenAlex
Kristen K. Ciombor, Tanios Bekaii‐Saab

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of the National Comprehensive Cancer Network · 2013
Typereview
Languageen
FieldMedicine
TopicColorectal Cancer Treatments and Studies
Canadian institutionsnot available
FundersNational Cancer InstituteNational Institutes of HealthSanofiBayer HealthCareRegeneron PharmaceuticalsAmgenPfizerOncolytics BiotechEli Lilly and CompanyBristol-Myers SquibbGenentechBayer
KeywordsMedicineBevacizumabCetuximabRegorafenibPanitumumabColorectal cancerAfliberceptOncologyChemotherapyTargeted therapyEpidermal growth factor receptorInternal medicineCancer

Abstract

fetched live from OpenAlex

Metastatic colorectal cancer (mCRC) is a prevalent disease for which many new therapies have been developed over the past decade. Currently, standard of care chemotherapeutic regimens for mCRC include doublet cytotoxic chemotherapy with or without the anti-vascular endothelial growth factor (VEGF) monoclonal antibody bevacizumab, anti-epidermal growth factor receptor (EGFR) monoclonal antibodies such as cetuximab and panitumumab with or without chemotherapy, and single-agent cytotoxic chemotherapy or targeted therapy for patients intolerant of combination regimens. Recent studies have investigated the efficacy of triplet cytotoxic chemotherapeutic regimens, bevacizumab in combination with chemotherapy beyond first-line therapy disease progression, dual anti-VEGF and anti-EGFR antibody therapy, and the more novel agents ziv-aflibercept and regorafenib for treatment of mCRC. Furthermore, molecular profiling of CRC has identified several genetic alterations for which targeted therapies are currently being developed. Optimal drug combinations and treatment sequences have yet to be defined, but an expanding armamentarium of therapies with which to treat CRC offers a promising future.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.974
Threshold uncertainty score0.859

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.107
GPT teacher head0.417
Teacher spread0.310 · 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