ArticleJournal of cancer research and clinical oncology2023
Larysuicide: an online risk stratification system to identify patients at high risk of suicide after the laryngeal cancer diagnosis.
Article in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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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.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- Suicide and Head and Neck Cancer: A Systematic Review With Meta-Analysis and Narrative Synthesis.Psycho-oncology · 2025Pooled it
- Risk Factors for Catastrophic Health Events in Head and Neck Cancer: A Scoping Review to Inform Risk Prediction.Cancers · 2026Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPatients with laryngeal cancer have more than five times the incidence of suicide compared with the general population. In this study, we aimed to develop an online risk stratification system, named Larysuicide, to identify patients at high risk of suicide after the laryngeal cancer diagnosis.
methodsForty-two thousand and sixty-six American patients from the SEER-18 database and 4207 Chinese patients from our center were included in this study. We randomly assigned American patients into the training set and validation set at a ratio of 7:3, and all Chinese patients remained as an independent external testing set. LASSO regression model was applied for data dimension reduction, feature selection, and Larysuicide building. The performance of model was evaluated and validated by C-index, AUC, calibration curves, decision curve analysis (DCA), and univariate regression analysis.
resultsThe Larysuicide developed with seven selected features-age, race, cancer site, pathological subtype, grade, stage at presentation, and radiation. The model showed good discrimination, with a C-index of 0.745 (95% CI 0.723-0.767) in training set, 0.759 (95% CI 0.722-0.800) in validation set, and 0.749 (95% CI 0.730-0.769) in testing set. The AUC was 0.745 in training set, 0.759 in validation set, and 0.749 in testing set. The calibration curves showed good calibration. Decision curve analysis demonstrated that Larysuicide was clinically useful. The univariate regression analysis presented patients in the high-risk group identified by Larysuicide suffered a significantly higher risk of committing suicide after cancer diagnosis.
conclusionWe constructed an online risk stratification system which could help health-care professionals efficiently identify patients at high risk of suicide after the laryngeal cancer diagnosis. Larysuicide could be a useful tool for health-care professionals to implement an early and appropriate psychological intervention in context of precision medicine.
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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.