MétaCan
Menu
Back to cohort
Record W4392229930 · doi:10.1200/jco.23.02744

Therapy for Stage IV Non–Small Cell Lung Cancer With Driver Alterations: ASCO Living Guideline, Version 2023.3

2024· review· en· W4392229930 on OpenAlexaff
Ishmael Jaiyesimi, Natasha B. Leighl, Nofisat Ismaila, Krishna Alluri, Narjust Florez, Shirish M. Gadgeel, Gregory A. Masters, Erin L. Schenk, Bryan J. Schneider, Lecia V. Sequist, Navneet Singh, Lyudmila Bazhenova, Elizabeth Blanchard, Janet Freeman‐Daily, Naoki Furuya, Balázs Halmos, Ibrahim Azar, Sara Kuruvilla, Michael P. Mullane, Jarushka Naidoo, Joshua E. Reuss, David R. Spigel, Dwight H. Owen, Jyoti D. Patel

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typereview
Languageen
FieldMedicine
TopicLung Cancer Diagnosis and Treatment
Canadian institutionsLondon Health Sciences CentrePrincess Margaret Cancer CentreUniversity Health Network
FundersAstellas PharmaEisaiG1 TherapeuticsNGM BiopharmaceuticalsTarveda TherapeuticsModernaPfizerIncyteAgios PharmaceuticalsBeiGeneMirati TherapeuticsGlaxoSmithKlineTizona TherapeuticsClovis OncologyDaiichi Sankyo EuropeGilead SciencesCalithera BiosciencesAstraZenecaNovocureMacroGenicsCelldex TherapeuticsIpsenJazz PharmaceuticalsRegeneron PharmaceuticalsMerck KGaAApollomicsSanofiBristol-Myers SquibbEli Lilly and CompanyAmerican Society of Clinical OncologyGenentechAeglea BioTherapeuticsAmgenCelgene
KeywordsGuidelineMedicineRandomized controlled trialSystematic reviewFamily medicineEvidence-based practiceMEDLINEAlternative medicinePathology

Abstract

fetched live from OpenAlex

Living guidelines are developed for selected topic areas with rapidly evolving evidence that drives frequent change in recommended clinical practice. Living guidelines are updated on a regular schedule by a standing expert panel that systematically reviews the health literature on a continuous basis, as described in the ASCO Guidelines Methodology Manual . ASCO Living Guidelines follow the ASCO Conflict of Interest Policy Implementation for Clinical Practice Guidelines . Living Guidelines and updates are not intended to substitute for independent professional judgment of the treating provider and do not account for individual variation among patients. See complete disclaimer in Appendix 1 and Appendix 2 for more. Updates are published regularly and can be found at https://ascopubs.org/nsclc-da-living-guideline . PURPOSE To provide evidence-based recommendations for patients with stage IV non–small cell lung cancer with driver alterations. METHODS This ASCO living guideline offers continually updated recommendations based on an ongoing systematic review of randomized clinical trials (RCTs), with the latest time frame spanning February to October 2023. An Expert Panel of medical oncology, pulmonary, community oncology, research methodology, and advocacy experts were convened. The literature search included systematic reviews, meta-analyses, and randomized controlled trials. Outcomes of interest include efficacy and safety. Expert Panel members used available evidence and informal consensus to develop evidence-based guideline recommendations. RESULTS This guideline consolidates all previous updates and reflects the body of evidence informing this guideline topic. Eight new RCTs were identified in the latest search of the literature to date. RECOMMENDATIONS Evidence-based recommendations were updated to address first, second, and subsequent treatment options for patients based on targetable driver alterations. Additional information is available at www.asco.org/living-guidelines .

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)0.019
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: Review · Consensus signal: Review
Teacher disagreement score0.023
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0030.003
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0070.005

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 head0.139
GPT teacher head0.529
Teacher spread0.390 · 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

Citations55
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Clinical OncologySame topicLung Cancer Diagnosis and TreatmentFrench-language works237,207