ArticlePloS one2015
Prognostic Nomogram for Thoracic Esophageal Squamous Cell Carcinoma after Radical Esophagectomy.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prediction models for patients with esophageal or gastric cancer: A systematic review and meta-analysis.PloS one · 2018Pooled it
- Development and validation of a metabolic-inflammatory-nutritional prognostic model for esophageal squamous carcinoma.BMC cancer · 2026Article
- Article
- Construction of prognostic nomogram based on the SEER database for esophageal cancer patients.Clinics (Sao Paulo, Brazil) · 2024Article
- Prognostic nomogram and risk factors for predicting survival in patients with pT2N0M0 esophageal squamous carcinoma.Scientific reports · 2023Review
- Article
- A novel prognostic model: which group of esophageal squamous cell carcinoma patients could benefit from adjuvant chemotherapy.Annals of translational medicine · 2022Article
- Development and validation of a deep learning model to predict survival of patients with esophageal cancer.Frontiers in oncology · 2022Article
- Article
- Prognostic nomograms and risk-stratifying systems for predicting survival in patients with resected pT2-4aN0M0 esophageal carcinoma.Journal of thoracic disease · 2021Article
- Prognostic Significance of the Lung Immune Prognostic Index in Patients with Resected Esophageal Squamous Cell Carcinoma.Cancer management and research · 2021Article
- Development and Validation of a Clinical Prognostic Nomogram for Esophageal Adenocarcinoma Patients.Frontiers in oncology · 2021Article
- Nomogram to predict overall survival for patients with non-metastatic cervical esophageal cancer: a SEER-based population study.Annals of translational medicine · 2020Article
- Development and Validation of an Individualized Nomogram for Predicting Survival in Patients with Esophageal Carcinoma after Resection.Journal of Cancer · 2020Article
- Achieving adequate lymph node dissection in treating esophageal squamous cell carcinomas by radical lymphadenectomy: Beyond the scope of numbers of harvested lymph nodes.Oncology letters · 2019Article
- Article
- Development and validation of nomogram based on lncRNA ZFAS1 for predicting survival in lymph node-negative esophageal squamous cell carcinoma patients.Oncotarget · 2017Article
- Drawing Nomograms with R: applications to categorical outcome and survival data.Annals of translational medicine · 2017Article
- Novel nomograms for survival and progression in HPV+ and HPV- oropharyngeal cancer: a population-based study of 1,542 consecutive patients.Oncotarget · 2016Article
- Lymphatic spreading and lymphadenectomy for esophageal carcinoma.World journal of gastrointestinal surgery · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nomogram has demonstrated its capability in individualized estimates of survival in diverse cancers. Here we retrospectively investigated 1195 patients with esophageal squamous-cell carcinoma (ESCC) who underwent radical esophagectomy at Zhejiang Cancer Hospital in Hangzhou, China. We randomly assigned two-thirds of the patients to a training cohort (n = 797) and one-third to a validation cohort (n = 398). Cox proportional hazards regression analyses were performed using the training cohort, and a nomogram was developed for predicting 3-year and 5-year overall survival rates. Multivariate analysis identified tumor length, surgical approach, number of examined lymph node, number of positive lymph node, extent of positive lymph node, grade, and depth of invasion as independent risk factors for survival. The discriminative ability of the nomogram was externally determined using the validation cohort, showing that the nomogram exhibited a sufficient level of discrimination according to the C-index (0.715, 95% CI 0.671-0.759). The C-index of the nomogram was significantly higher than that of the sixth edition (0.664, P-value < 0.0001) and the seventh edition (0.696, P-value < 0.0003) of the TNM classification. This study developed the first nomogram for ESCC, which can be applied in daily clinical practice for individualized 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.