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Record W2110115052 · doi:10.1093/ejcts/ezs520

Validation of the lung cancer staging system revisions using a large prospective clinical trial database (ACOSOG Z0030)

2012· article· en· W2110115052 on OpenAlexaff
Juan J. Fibla, Stephen D. Cassivi, Paul A. Decker, Mark S. Allen, Gail Darling, Rodney J. Landreneau, Robert J. McKenna, Joe B. Putnam

Bibliographic record

VenueEuropean Journal of Cardio-Thoracic Surgery · 2012
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Diagnosis and Treatment
Canadian institutionsUniversity of Toronto
FundersNational Cancer InstituteNational Institutes of HealthAmerican Association for Thoracic Surgery
KeywordsMedicineLung cancerStage (stratigraphy)Lung cancer stagingClinical trialCancerCohortProspective cohort studySurgeryNuclear medicineInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: A new revision of the international lung cancer staging system has been recently introduced. The revisions are largely focussed on the T descriptor. We sought to test the validity of this new system on a separate prospectively collected cohort of patients from a recent multicentre trial of early-stage lung cancer. METHODS: We reviewed the prospectively collected data from 1012 patients undergoing pulmonary resection for early-stage lung cancer in the ACOSOG Z0030 trial. TNM descriptors and overall staging were assessed using both the sixth and seventh editions of the American Joint Committee on Cancer and the Union Internationale Contre le Cancer (AJCC/UICC) lung cancer staging system. Survival results were analysed according to both staging allocations. RESULTS: Using the proposed criteria, the number of patients by stage in the sixth and seventh edition allocations, respectively, were as follows: IA (432, 431); IB (402, 303); IIA (39, 167); IIB (94, 70); IIIA (26, 40); IIIB (19,0); there were no stage IV patients by either version. Overall, 180 (18%) patients had a change in the stage group from the sixth to seventh edition versions with 76 (8%) being downstaged and 104 (10%) being upstaged. In the sixth edition staging system based on pathological stages, median survivals in years were as follows: IA, NA; IB, 7.7; IIA, 4.0; IIB, 3.6; IIIA, 2.6 and IIIB, 2.4. Five-year survivals were: IA, 76.4%; IB, 62.0%; IIA, 47.8%; IIB, 40.4%; IIIA, 31.3% and IIIB, 44.4%. In the new system, median survivals in years were as follows: IA, NA; IB, 8.2; IIA, 4.4; IIB, 3.6 and IIIA, 1.8. Five-year survivals were: IA, 76.9%; IB, 65.0%; IIA, 48.5%; IIB, 42.9% and IIIA, 30.6%. Survival analysis and Kaplan-Meier survival curves showed more monotonic progression, distinction and homogeneity within groups in the seventh edition. CONCLUSIONS: This study provides an external validation of the recently revised lung cancer staging system using a large multicentre database. The seventh edition of the AJCC/UICC lung cancer staging system appears to be an improvement over the preceding system.

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)0.109
metaresearch head score (Gemma)0.131
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 score0.109
Threshold uncertainty score0.575

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1090.131
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.097
GPT teacher head0.418
Teacher spread0.321 · 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

Citations16
Published2012
Admission routes1
Has abstractyes

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