Causal analysis of radiation dose to the base of the heart and overall survival in lung cancer using targeted maximum likelihood estimation

Clicks: 1
ID: 323272
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #133 of 282 articles by views in European heart journal supplements : journal of the European Society of Cardiology

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 282 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Abstract Background Radical radiotherapy is delivered with curative intent in approximately 40% of patients with lung cancer. The RTOG 0617 trial and subsequent studies demonstrated that higher cardiac radiation exposure is associated with increased mortality. As clinical equipoise precludes randomisation to different cardiac dose limits, estimation of the causal effect of cardiac radiation dose on survival must rely on observational data. Traditional analyses have relied on multivariable regression models incorporating heart dose parameters and cardiac risk factors, but failure to consider causal structure may induce confounding bias. Targeted maximum likelihood estimation (TMLE) integrates machine learning to estimate outcome and treatment assignment models, approximating a randomised comparison within observational data and providing reliable effect estimates even if one model is misspecified. Purpose Previous work has identified radiation dose to the base of the heart as being associated with increased mortality. However, the causal effect of radiation dose to the base of the heart on overall survival remains unclear. We therefore aimed to estimate this effect using a target trial emulation framework with TMLE. Methods The study included 1,051 patients with lung cancer treated with radiotherapy at a tertiary cancer centre between 2010 and 2013, with time zero defined as radiotherapy initiation. Radiation dose to the base of the heart was categorized as low (0–11.26 Gy), medium (11.26–23.34 Gy), or high (23.34–48.85 Gy). Overall survival was defined from radiotherapy initiation to death or censoring at last follow-up. The causal estimand was defined as time-specific differences in survival probability between dose groups. A directed acyclic graph (DAG) identified the minimal adjustment set. TMLE was applied to compare overall survival across dose groups over a 2-year follow-up. Results After dose categorization, 367 patients were included per group, with approximately 300 retained per group in complete-case analyses. The DAG identified age, tumor volume, tumor location, T stage, M stage, and radiotherapy modality as the minimal adjustment set. No meaningful survival difference was observed between the low- and medium-dose groups. In the high- versus low-dose comparison, survival differences emerged early and became consistent after approximately 5 months, peaking during mid follow-up and remaining evident through the end of follow-up. In the high- versus medium-dose comparison, survival differences showed transient mid follow-up significance and did not become consistently significant until approximately 15 months. Conclusion Under causal assumptions within regions of sufficient overlap, higher radiation dose to the base of the heart was associated with distinct time-varying survival differences. Further studies should explore dose–response patterns across cardiac substructures within a causal analysis framework.High–low survival difference (TMLE) High–medium survival difference (TMLE)
Reference Key
openalex_W7172253436 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors B Jiang, M Summers, E V Osorio, K Banfill, J Hartfold, C Faivre-Finn, A Mcwilliam
Journal European heart journal supplements : journal of the European Society of Cardiology
Year 2026
DOI
10.1093/eurheartjsupp/suag097.012
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.