ArticleTranslational cancer research2026
A nomogram for suicide-specific mortality risk stratification in patients with tongue cancer: a Surveillance, Epidemiology, and End Results (SEER)-based study, 2004-2017.
Article in Translational cancer research, 2026. 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
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Although suicide represents an important cause of mortality among cancer patients, prediction models specifically developed for tongue cancer patients remain unavailable. This study aimed to identify suicide-related risk factors and develop an individualized risk stratification model for tongue cancer patients. This study aimed to identify factors associated with suicide-specific mortality and develop an internally validated risk stratification model for patients with tongue cancer. Methods: Patients diagnosed with tongue cancer between 2004 and 2017 were identified from the Surveillance, Epidemiology, and End Results (SEER) database. Eligible patients were randomly allocated to training and validation cohorts at a ratio of 7:3. Cox proportional hazards regression was used to identify potential predictors and construct a nomogram. Model discrimination was evaluated using the concordance index (C-index) and time-dependent receiver operating characteristic (ROC) curves with corresponding area under the curve (AUC) values. Calibration was assessed by comparing predicted and observed suicide-specific mortality. Results: Among the 25,024 eligible tongue cancer patients, 96 suicide-related deaths were identified during follow-up, corresponding to a cumulative suicide mortality rate of 0.38%. Multivariate Cox regression analysis revealed that sex and age (P<0.001) were independent predictors, and race, tumor (T) stage, and income (P≤0.2) were potential significant factors for suicide in tongue cancer patients. The nomogram had a good performance for the prediction of suicide-specific mortality both in the training {C-index =0.762 [95% confidence interval (CI): 0.710-0.815]} and validation sets [C-index =0.761 (95% CI: 0.673-0.849)]. ROC curve demonstrated acceptable performance in both the training and validation sets, with 3-year AUCs of 0.784 and 0.774, 5-year AUCs of 0.762 and 0.788, and 10-year AUCs of 0.729 and 0.783, respectively. Moreover, the calibration plot indicated moderate accuracy of the nomogram in both datasets. Conclusions: Overall, this study successfully identified risk factors for suicide among tongue cancer patients and developed a nomogram to offer risk assessment to mitigate the risk of suicide in this patient population.
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.