ArticleThoracic cancer2019
Nomogram to predict cause-specific mortality in extensive-stage small cell lung cancer: A competing risk analysis.
Article in Thoracic cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed.
- A prognostic nomogram to predict survival in elderly patients with small-cell lung cancer: a large population-based cohort study and external validation.BMC cancer · 2022Trial
- Development and Validation of a Prognostic Model to Predict Overall Survival for Lung Adenocarcinoma: A Population-Based Study From the SEER Database and the Chinese Multicenter Lung Cancer Database.Technology in cancer research & treatmentTrial
- Development and external validation of an XGBoost-based prognostic model for small cell lung cancer with brain metastases.Translational cancer research · 2026Article
- Clinical outcomes of thoracic radiotherapy in combination with chemoimmunotherapy in elderly patients with extensive-stage small cell lung cancer.Precision radiation oncology · 2026Article
- A nomogram predicting prognosis of extensive-stage small cell lung cancer patients receiving chemoradiotherapy.Radiation oncology (London, England) · 2025Article
- A novel nomogram based on DLL3 and PD-L1 for predicting the prognosis of patients with small cell lung cancer.BMC cancer · 2025Article
- A SEER prognostic nomogram analysis for extensive-stage small cell lung cancer: comparing the immune checkpoint inhibitors (ICIs) and non-ICIs eras.Journal of thoracic disease · 2025Article
- Prognostic Model for High-Grade Neuroendocrine Carcinoma of the Lung Incorporating Genomic Profiling and Poly (ADP-ribose) Polymerase-1 Expression.JCO precision oncology · 2024Article
- Nomograms Predict PFS and OS for SCLC Patients After Standardized Treatment: A Real-World Study.International journal of general medicine · 2024Article
- Establishment and validation of a long-term prognosis prediction model for patients with non-small cell lung cancer.Journal of thoracic disease · 2023Article
- Effect of pleural invasion on survival of patients with small cell lung cancer: Propensity score analysis and nomogram establishment based on the SEER database.Frontiers in surgery · 2023Article
- Construction and evaluation of a nomogram for predicting survival in patients with lung cancer.Aging · 2022Article
- Clinical characteristics and prognostic model for extensive-stage small cell lung cancer: A retrospective study over an 8-year period.Thoracic cancer · 2022Article
- Review
- Nomograms for Predicting Cancer-Specific Survival of Patients with Gingiva Squamous Cell Carcinoma: A Population-Based Study.Current medical science · 2021Article
- Prognostic Factors in Patients with Rhabdomyosarcoma Using Competing-Risks Analysis: A Study of Cases in the SEER Database.Journal of oncology · 2020Article
- Which Types of Patients With Extensive-Stage Small Cell Lung Cancer Benefit From Radiotherapy? A Retrospective Study Integrating Machine Learning With the SEER Database and a Chinese Cohort.Cancer control : journal of the Moffitt Cancer CenterArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSmall-cell lung cancer (SCLC) is one of the most aggressive types of lung cancer. The prognosis for SCLC patients depends on many factors. The intent of this study was to construct a nomogram model to predict mortality for extensive-stage SCLC.
methodsOriginal data was collected from the Surveillance, Epidemiology, and End Results (SEER) database of the National Cancer Institute in the United States. A nomogram prognostic model was constructed to predict death probability for extensive-stage SCLC.
resultsA total of 16 554 extensive-stage SCLC patients from 2004 to 2014 in the SEER database were included in this study. Gender, race, age, TNM staging (including tumor extent, nodal status, and metastasis), and treatment (surgery, chemotherapy, and radiotherapy) were identified as independent predictors for lung cancer-specific death for extensive-stage SCLC patients. A nomogram model was constructed based on multivariate models for lung cancer related death and other cause related death. Performance of the two models was validated by calibration and discrimination, with C-index values of 0.714 and 0.638, respectively.
conclusionA prognostic nomogram model was established to predict death probability for extensive-stage SCLC. This validated prognostic model may be beneficial for treatment strategy choice and survival prediction.
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.