ArticleActa oncologica (Stockholm, Sweden)2015
Predicting radiation-induced valvular heart damage.
Article in Acta oncologica (Stockholm, Sweden), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed.
- Early detection and prediction of cardiotoxicity after radiation therapy for breast cancer: the BACCARAT prospective cohort study.Radiation oncology (London, England) · 2016Trial
- Dose-related cardiac side effects and its impact on survival following thoracic radiotherapy: A scoping review.Clinical and translational radiation oncology · 2027Review
- Transcatheter Aortic Valve Implantation in Cancer Patients: A Contemporary Review of the Specific Challenges, the Outcomes, Risk Stratification, and Decision-Making.Medicina (Kaunas, Lithuania) · 2026Review
- Risk Factors for Valvulopathy Among Childhood Cancer Survivors.JAMA oncology · 2025Article
- Article
- Differences in radiation-induced heart dysfunction in male versus female rats.International journal of radiation biology · 2023Article
- Cardiac Remodelling Following Cancer Therapy: A Review.Cardiovascular toxicology · 2022Review
- Mediastinal irradiation and valvular heart disease.Cardio-oncology (London, England) · 2022Review
- Radiation-Induced Esophagitis in Non-Small-Cell Lung Cancer Patients: Voxel-Based Analysis and NTCP Modeling.Cancers · 2022Article
- Analysis of lncRNA-miRNA-mRNA expression pattern in heart tissue after total body radiation in a mouse model.Journal of translational medicine · 2021Article
- Radiation-Induced Dyspnea in Lung Cancer Patients Treated with Stereotactic Body Radiation Therapy.Cancers · 2021Article
- Article
- Probing thoracic dose patterns associated to pericardial effusion and mortality in patients treated with photons and protons for locally advanced non-small-cell lung cancer.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2021Article
- Injuries From Asymptomatic COVID-19 Disease: New Hidden Toxicity Risk Factors in Thoracic Radiation Therapy.International journal of radiation oncology, biology, physics · 2020Article
- Review
- Cardiovascular Complications Associated with Mediastinal Radiation.Current treatment options in cardiovascular medicine · 2019Review
- Early-Onset Bilateral Severe Valvular Regurgitation After Mediastinal Radiotherapy in Hodgkin Lymphoma Survivors: Should We Screen Prior to 10 Years After Mediastinal Radiotherapy?Ochsner journal · 2019Article
- Auto- versus human-driven plan in mediastinal Hodgkin lymphoma radiation treatment.Radiation oncology (London, England) · 2018Article
- Early Detection of Cardiovascular Changes After Radiotherapy for Breast Cancer: Protocol for a European Multicenter Prospective Cohort Study (MEDIRAD EARLY HEART Study).JMIR research protocols · 2018Article
- Cardiotoxicity of mediastinal radiotherapy.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation OncologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
purposeTo develop a predictive multivariate normal tissue complication probability (NTCP) model for radiation-induced heart valvular damage (RVD). The influence of combined heart-lung irradiation on RVD development was included. MATERIAL AND
methodsMultivariate logistic regression modeling with the least absolute shrinkage and selection operator (LASSO) was used to build an NTCP model to predict RVD based on a cohort of 90 Hodgkin lymphoma patients treated with sequential chemo-radiation therapy. In addition to heart irradiation factors, clinical variables, along with left and right lung dose-volume histogram statistics, were included in the analysis. To avoid overfitting, 10-fold cross-validation (CV) was used for LASSO logistic regression modeling, with 50 reshuffled cycles. Model performance was assessed using the area under the receiver operating characteristic (ROC) curve (AUC) and Spearman's correlation coefficient (Rs).
resultsAt a median follow-up time of 55 months (range 12-92 months) after the end of radiation treatment, 27 of 90 patients (30%) manifested at least one kind of RVD (mild or moderate), with a higher incidence of left-sided valve defects (64%). Fourteen prognostic factors were frequently selected (more than 100/500 model fits) by LASSO, which included mainly heart and left lung dosimetric variables along with their volume variables. The averaged cross-validated performance was AUC-CV = 0.685 and Rs = 0.293. The overall performance of a final NTCP model for RVD obtained applying LASSO logistic regression to the full dataset was satisfactory (AUC = 0.84, Rs = 0.55, p < 0.001).
conclusionLASSO proved to be an improved and flexible modeling method for variable selection. Applying LASSO, we showed, for the first time, the importance of jointly considering left lung irradiation and left lung volume size in the prediction of subclinical radiation-related heart disease resulting in RVD.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.