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Record W4391180278 · doi:10.1016/j.jtho.2024.01.012

Consolidation Osimertinib Versus Durvalumab Versus Observation After Concurrent Chemoradiation in Unresectable EGFR-Mutant NSCLC: A Multicenter Retrospective Cohort Study

2024· article· en· W4391180278 on OpenAlexaff
Amin H. Nassar, So Yeon Kim, Jacqueline V. Aredo, Jamie Feng, Frances A. Shepherd, Chao Xu, David Kaldas, Jhanelle E. Gray, Thomas J. Dilling, Joel W. Neal, Heather A. Wakelee, Yufei Liu, Steven H. Lin, Tariq Abuali, Arya Amini, Yunan Nie, Tejas Patil, Anastasiya Lobachov, Jair Bar, Bailey G. Fitzgerald, Yu Fujiwara, Thomas U. Marron, Rohit Thummalapalli, Helena A. Yu, Dwight H. Owen, John Sharp, Saira Farid, Pedro Rocha, Edurne Arriola, Angelica D’Aiello, Haiying Cheng, Ryan Whitaker, Kaushal Parikh, Yash P. Ashara, Luxi Chen, K. Nathan Sankar, Jeremy P. Harris, Misako Nagasaka, Adanma Ayanambakkam, Ana I. Velázquez, Meera Vimala Ragavan, W. Marston Linehan, Zofia Piotrowska, M. Wilgucki, Joshua E. Reuss, H Lüders, Christian Grohé, Javier Baena Espinar, Ella Feiner, Salman R. Punekar, Shruti Gupta, Ticiana Leal, David J. Kwiatkowski, Raymond H. Mak, Elio Adib, Abdul Rafeh Naqash, Sarah B. Goldberg

Bibliographic record

VenueJournal of Thoracic Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Treatments and Mutations
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health Network
FundersNational Institute on AgingUniversity of California, IrvineEMD SeronoGenentechEuropean Society for Medical OncologyG1 TherapeuticsSeagenRelay TherapeuticsUniversity of California, San FranciscoNGM BiopharmaceuticalsCancer Research InstituteAstraZenecaNovocureViewRayCelldex TherapeuticsIpsenJazz PharmaceuticalsNational Institutes of HealthRegeneron PharmaceuticalsInternational Association for the Study of Lung CancerMirati TherapeuticsAssociation of American Medical CollegesGlaxoSmithKlinePfizerAmerican Association for Cancer ResearchAmgenAmerican Society of Clinical OncologyEli Lilly and CompanyBristol-Myers SquibbHope FoundationSociedad Española de Oncología MédicaSociety for Immunotherapy of CancerLUNGevity FoundationDaiichi Sankyo EuropeNational Cancer InstituteGilead SciencesConquer Cancer FoundationSanofi
KeywordsDurvalumabMedicineOsimertinibCommon Terminology Criteria for Adverse EventsRetrospective cohort studyClinical endpointInternal medicineOncologyProportional hazards modelHazard ratioCohortAdverse effectConfidence intervalAdenocarcinomaCancerRandomized controlled trialNivolumab

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.035
GPT teacher head0.450
Teacher spread0.415 · 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 designObservational
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

Citations39
Published2024
Admission routes1
Has abstractno

Explore more

Same venueJournal of Thoracic OncologySame topicLung Cancer Treatments and MutationsFrench-language works237,207