ArticleTranslational cancer research2020
A prognostic nomogram for pancreatic ductal adenocarcinoma patients' all-cause survival in a Surveillance, Epidemiology, and End Results analysis.
Article in Translational cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Can a CT-based nomogram predict recurrence in resectable pancreatic body and tail adenocarcinoma?European radiology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe American Joint Committee on Cancer (AJCC) staging system is not adequate for predicting the all-cause survival of patients with pancreatic ductal adenocarcinoma (PDAC). The aim of this study was to establish a comprehensive nomogram for PDAC and compare its prognostic ability with that of the AJCC 8th edition staging system.
methodsThis study identified 5,097 patients with PDAC in the Surveillance, Epidemiology, and End Results (SEER) database between 2004 and 2016, and R software was used to divide them into training (n=3,567) and validation (n=1,530) cohorts. Multivariate Cox regression was used to select predictive variables. The concordance index (C-index), the area under the time-dependent receiver operating characteristics curve (AUC), the net reclassification improvement (NRI), the integrated discrimination improvement (IDI), calibration plotting, and decision-curve analysis (DCA) were used to compare the new survival model with the AJCC 8th edition prognosis model.
resultsAfter performing a multivariate Cox regression analysis, data on the age at diagnosis, marital status, primary site, pathology grade, regional nodes examined, AJCC stage, surgery status, adjuvant radiotherapy status, and adjuvant chemotherapy status were entered into the model and used to establish the nomogram. The C-index for the nomogram (0.668 for the training cohort and 0.670 for the validation cohort) was higher than those for the AJCC staging system (0.590 and 0.578, respectively). The AUC, NRI, IDI, calibration plotting, and DCA showed that the nomogram performed better than the AJCC staging system.
conclusionsWe have developed and validated a prognosis nomogram as a predictive model for PDAC patients provides significantly improved predictive performance and is superior to the latest AJCC 8th edition staging system.
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.