ArticleGland surgery2025
A dynamic nomogram and risk stratification system for predicting cancer-specific survival in patients with locally advanced differentiated thyroid cancer: a population-based study.
Article in Gland surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Locally advanced differentiated thyroid cancer (LADTC) refers to a severe stage of differentiated thyroid cancer (DTC) with a relatively poor prognosis. This study aimed to construct a dynamic nomogram and risk stratification system to predict cancer-specific survival (CSS) in patients with LADTC. Methods: A total of 4,856 patients diagnosed with LADTC from 2004 to 2020 were included from the Surveillance, Epidemiology, and End Results database. Least absolute shrinkage and selection operator (LASSO) and Cox regression analyses were utilized to identify variables and construct the dynamic nomogram. The performance of the nomogram was assessed using the concordance index (C-index), time-dependent receiver operating characteristic (ROC) curve, area under the curve (AUC), and calibration plot, while decision curve analysis (DCA) was conducted to evaluate clinical benefits. The improvement of the nomogram in comparison to the American Joint Committee on Cancer (AJCC) staging system was evaluated using the C-index, net reclassification index (NRI), and integrated discrimination improvement (IDI). A risk stratification system was established according to the total score of each patient in the nomogram. Results: Eight variables were identified to construct the nomogram. The C-index, time-dependent ROC curve, AUC, calibration plot, and DCA demonstrated the strong performance and clinical benefits of the nomogram. The C-index, NRI, and IDI indicated that the nomogram outperformed the AJCC staging system in prognostic prediction. The risk stratification system demonstrated the favorable ability to categorize patients with LADTC. Conclusions: A dynamic nomogram and risk stratification system were constructed and validated to assist clinicians in evaluating prognostic risk and devising personalized treatment strategies for patients with LADTC.
Indexed as
Identifiers
What Socratic 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 Socratic graph.