ArticleIranian journal of public health2015
Survival Analysis of Breast Cancer Patients after Surgery with an Intermediate Event: Application of Illness-Death Model.
Article in Iranian journal of public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 20 citations in OpenAlex.
- Prevalence and Risk Factors of Various Gastrointestinal Malignancies.Archives of Razi Institute · 2025Article
- Prognostic Factors for Recurrence And Survival of Patients with Breast Cancer Using A Multi-state Model.Galen medical journal · 2024Article
- The Value of the Illness-Death Model for Predicting Outcomes in Patients with Non-Small Cell Lung Cancer.Cancer research and treatment · 2022Article
- Long-term Survival and Prognostic Factors of Breast Cancer.Archives of Iranian medicine · 2022Article
- Application of Multi-State Model in Analyzing of Breast Cancer Data.Journal of research in health sciences · 2020Article
- Investigation of Prognostic Factors and Survival without Recurrence in Patients with Breast Cancer.Advanced biomedical research · 2017Article
- A Comparison between Cure Model and Recursive Partitioning: A Retrospective Cohort Study of Iranian Female with Breast Cancer.Computational and mathematical methods in medicineArticle
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBreast cancer (BC) is the second most commonly diagnosed cancer after lung cancer. Survival of BC patients is affected by intermediate events. This study was aimed to investigate the disease course of primary nonmetastatic BC patients with first recurrence of the tumor (FRT) as the intermediate event using the illness- death model.
methodsThis retrospective cohort study was conducted on 529 Iranian females with BC underwent surgery, from 1995 to 2013. Patients, tumor and treatment characteristics were collected from medical records of the patients. The illness-death model were used to investigate the relationship between these factors and survival time. Data were analyzed using version 3.1.1 of R software.
resultsThe risk of FRT in patients who had tumors size in the range of 2-5 cm and >5 cm was 1.3 and 3.5 times higher than that of patients with tumor size ≤2 cm, respectively (P<0.001). Furthermore, risk of death in patients aged ≥50 years was 1.6 times higher compared to patients aged less than 50 years (P =0.012). Risk of death after metastasis in patients with tumor size >5 cm was 2.1 times higher than patients with tumor size ≤2 cm (P =0.019).
conclusionsThe stage of the disease and tumor size have statistically significant effects on patients' survival before occurrence of the FRT. Furthermore, illness-death model was found to be a useful tool in modeling the disease course of BC patients.
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26811819PMC4724741W2266810971What OpenQuestion holds
Registered trials
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