Observational studyJournal of translational medicine2018
Establishment and validation of a predictive nomogram model for non-small cell lung cancer patients with chronic hepatitis B viral infection.
Observational study in Journal of translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses 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
17 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Blood lipid metabolic biomarkers are emerging as significant prognostic indicators for survival in cancer patients.BMC cancer · 2024Pooled it
- Prognostic Significance of Pretreatment Apolipoprotein A-I as a Noninvasive Biomarker in Cancer Survivors: A Meta-Analysis.Disease markers · 2018Pooled it
- Prognostic nomogram to predict the overall survival of patients with early-onset colorectal cancer: a population-based analysis.International journal of colorectal disease · 2021Trial
- Development and validation of prognostic nomograms for patients with metastatic prostate cancer.International urology and nephrology · 2019Trial
- Establishment of prognostic nomogram in cervical cancer with hepatitis B virus infection: a retrospective study.Frontiers in oncology · 2026Article
- A nomogram for predicting subsequent liver metastasis in patients with metastatic breast cancer.Frontiers in oncology · 2025Article
- Clinical characteristics and prognosis analysis of postoperative patients with stage I-III colon cancer based on SEER database.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024Article
- Hepatitis B virus infection: An insight into the clinical connection and molecular interaction between hepatitis B virus and host extrahepatic cancer risk.Frontiers in immunology · 2023Review
- Clinical features and prognostic factors of esophageal signet ring cell carcinoma: construction and validation of a model based on the SEER database.Translational cancer research · 2022Article
- Article
- A multi-parametric prognostic model based on clinical features and serological markers predicts overall survival in non-small cell lung cancer patients with chronic hepatitis B viral infection.Cancer cell international · 2020Article
- Prognostic significance of high triglyceride and apolipoprotein B levels in patients with stage III and high-risk stage II colorectal cancer undergoing curative surgery.Oncology letters · 2020Article
- A convenient clinical nomogram for predicting the cancer-specific survival of individual patients with small-intestine adenocarcinoma.BMC cancer · 2020Article
- Prognostic nomogram integrated baseline serum lipids for patients with non-esophageal squamous cell carcinoma.Annals of translational medicine · 2019Article
- Serum hepatitis B viral (HBV) DNA is a predictive biomarker for survival in non-small cell lung cancer patients with chronic HBV infection.Cancer management and research · 2019Article
- Nomograms for estimating survival in patients with papillary thyroid cancer after surgery.Cancer management and research · 2019Article
- Prognostic Dynamic Nomogram Integrated with Inflammation-Based Factors for Non-Small Cell Lung Cancer Patients with Chronic Hepatitis B Viral Infection.International journal of biological sciences · 2018Article
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
backgroundThis study aimed to establish an effective predictive nomogram for non-small cell lung cancer (NSCLC) patients with chronic hepatitis B viral (HBV) infection.
methodsThe nomogram was based on a retrospective study of 230 NSCLC patients with chronic HBV infection. The predictive accuracy and discriminative ability of the nomogram were determined by a concordance index (C-index), calibration plot and decision curve analysis and were compared with the current tumor, node, and metastasis (TNM) staging system.
resultsIndependent factors derived from Kaplan-Meier analysis of the primary cohort to predict overall survival (OS) were all assembled into a Cox proportional hazards regression model to build the nomogram model. The final model included age, tumor size, TNM stage, treatment, apolipoprotein A-I, apolipoprotein B, glutamyl transpeptidase and lactate dehydrogenase. The calibration curve for the probability of OS showed that the nomogram-based predictions were in good agreement with the actual observations. The C-index of the model for predicting OS had a superior discrimination power compared with the TNM staging system [0.780 (95% CI 0.733-0.827) vs. 0.693 (95% CI 0.640-0.746), P < 0.01], and the decision curve analyses showed that the nomogram model had a higher overall net benefit than did the TNM stage. Based on the total prognostic scores (TPS) of the nomogram, we further subdivided the study cohort into three groups: low risk (TPS ≤ 13.5), intermediate risk (13.5 < TPS ≤ 20.0) and high risk (TPS > 20.0).
conclusionThe proposed nomogram model resulted in more accurate prognostic prediction for NSCLC patients with chronic HBV infection.
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.