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Record W4406135453 · doi:10.1016/j.ctro.2025.100917

Real-world outcomes of prophylactic cranial irradiation utilization and efficacy for patients with extensive-stage small cell lung cancer treated with consolidative thoracic radiotherapy

2025· article· en· W4406135453 on OpenAlexafffund
Abdul Haadee Lone, Rohan Salunkhe, Vijithan Sugumar, Luna Jia Zhan, Xiang Y. Ye, Andrea Bezjak, John Cho, Meredith Giuliani, Andrew Hope, A. Sun, Srinivas Raman, Penelope A. Bradbury, Lawson Eng, Natasha B. Leighl, Frances A. Shepherd, Adrian G. Sacher, Geoffrey Liu, Benjamin H. Lok

Bibliographic record

VenueClinical and Translational Radiation Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Research Studies
Canadian institutionsUniversity of TorontoPrincess Margaret Cancer Centre
FundersNational Center for Advancing Translational SciencesCanadian Institutes of Health ResearchWeill Cornell Medical CollegeTerry Fox Research InstituteCanada Foundation for InnovationPrincess Margaret Cancer FoundationNational Cancer InstituteNational Institutes of HealthMemorial Sloan-Kettering Cancer Center
KeywordsConventional PCIProphylactic cranial irradiationMedicineCumulative incidenceIncidence (geometry)Proportional hazards modelHazard ratioInternal medicineRandomized controlled trialRadiation therapyRadiologySurgeryOncologyConfidence intervalMyocardial infarctionTransplantation

Abstract

fetched live from OpenAlex

Background The role of prophylactic cranial irradiation (PCI) is not well-defined in extensive-stage SCLC (ES-SCLC) patients with conflicting results from randomized trials and a lack of relevant data for patients who received consolidative thoracic radiotherapy (CTRT). We sought to evaluate the impact of PCI on the outcomes of ES-SCLC patients who were all treated with CTRT. Methods A retrospective analysis of ES-SCLC patients without brain metastases who were all treated with CTRT between 2013–2021 at our institution was conducted. Overall survival (OS) and incidence of brain failure (BFR) were estimated using Kaplan-Meier estimation and cumulative incidence function. Multivariable Cox or Fine-Gray's proportional hazard regression analysis (MVA) were performed to determine association between PCI and OS. Results 47 patients met inclusion criteria and were theoretically eligible for PCI, 27 (57.4 %) received PCI and CTRT while 20 (42.6 %) received CTRT alone. Baseline characteristics were similar except for age, where patients receiving PCI were younger (median age 62) compared to patients who did not receive PCI (median age 72). Median OS with PCI was 19.2 months, compared to 10.8 months without PCI ( P = 0.0334). This improved OS remained apparent in patients who received post-chemotherapy MRI restaging ( P = 0.0245). BFR was reduced with PCI (HR = 0.22 [0.09–0.52], P = 0.0004). On MVA, PCI was significantly and independently associated with improved OS (HR = 0.39 [0.19–0.80], P = 0.01) and reduced BFR (HR = 0.20 [0.09–0.44], P = 0<.001). Conclusion This real-world study found PCI was independently associated with improved OS and reduced BFR in ES-SCLC patients treated with CTRT compared to patients treated with CTRT not receiving PCI, including after post-chemotherapy brain MRI. The role of PCI with CTRT should be evaluated in prospective studies.

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 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.414

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.057
GPT teacher head0.462
Teacher spread0.405 · 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 teacher head, 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

Citations0
Published2025
Admission routes2
Has abstractyes

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