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000267541 1001_ $$00000-0002-1419-4796$$aTu, Zegui$$b0
000267541 245__ $$aLarysuicide: an online risk stratification system to identify patients at high risk of suicide after the laryngeal cancer diagnosis.
000267541 260__ $$aBerlin$$bSpringer$$c2023
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000267541 500__ $$a2023 Aug;149(9):6455-6465
000267541 520__ $$aPatients 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.Forty-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.The 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.We 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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000267541 650_7 $$2Other$$aLaryngeal cancer
000267541 650_7 $$2Other$$aPredictive model
000267541 650_7 $$2Other$$aPsychological intervention
000267541 650_7 $$2Other$$aRisk assessment
000267541 650_7 $$2Other$$aSuicide
000267541 7001_ $$aLi, Caili$$b1
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000267541 7001_ $$aLuo, Jieyan$$b3
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000267541 999C5 $$1MB Bowden$$2Crossref$$9-- missing cx lookup --$$a10.21037/jgo.2017.08.02$$p897 -$$tJ Gastrointest Oncol$$uBowden MB, Walsh NJ, Jones AJ, Talukder AM, Lawson AG, Kruse EJ (2017) Demographic and clinical factors associated with suicide in gastric cancer in the United States. J Gastrointest Oncol 8(5):897–901$$v8$$y2017
000267541 999C5 $$1B Gascon$$2Crossref$$9-- missing cx lookup --$$a10.1093/jncics/pkab057$$tJNCI Cancer Spectrum$$uGascon B, Leung Y, Espin-Garcia O, Rodin G, Chu D, Li M (2021) Suicide risk screening and suicide prevention in patients with cancer. JNCI Cancer Spectrum. https://doi.org/10.1093/jncics/pkab057$$y2021
000267541 999C5 $$1C Guo$$2Crossref$$9-- missing cx lookup --$$a10.1002/cam4.2400$$p5386 -$$tCancer Med$$uGuo C, Zheng W, Zhu W, Yu S, Ding Y, Wu Q, Tang Q, Lu C (2019) Risk factors associated with suicide among kidney cancer patients: a surveillance, epidemiology, and end results analysis. Cancer Med 8(11):5386–5396$$v8$$y2019
000267541 999C5 $$1D Kam$$2Crossref$$9-- missing cx lookup --$$a10.1001/jamaoto.2015.2480$$p1075 -$$tJAMA Otolaryngol Head Neck Surg$$uKam D, Salib A, Gorgy G, Patel TD, Carniol ET, Eloy JA, Baredes S, Park RC (2015) Incidence of suicide in patients with head and neck cancer. JAMA Otolaryngol Head Neck Surg 141(12):1075–1081$$v141$$y2015
000267541 999C5 $$1DC McFarland$$2Crossref$$uMcFarland DC, Walsh L, Napolitano S, Morita J, Jaiswal R (2019) Suicide in patients with cancer: identifying the risk factors. Oncology (williston Park) 33(6):221–226$$y2019
000267541 999C5 $$1KD Miller$$2Crossref$$9-- missing cx lookup --$$a10.3322/caac.21731$$p409 -$$tCA Cancer J Clin$$uMiller KD, Nogueira L, Devasia T, Mariotto AB, Yabroff KR, Jemal A, Kramer J, Siegel RL (2022) Cancer treatment and survivorship statistics, 2022. CA Cancer J Clin 72(5):409–436$$v72$$y2022
000267541 999C5 $$1S Misono$$2Crossref$$9-- missing cx lookup --$$a10.1200/JCO.2007.13.8941$$p4731 -$$tJ Clini Oncol$$uMisono S, Weiss NS, Fann JR, Redman M, Yueh B (2008) Incidence of suicide in persons with cancer. J Clini Oncol 26(29):4731–4738$$v26$$y2008
000267541 999C5 $$1NP Nguyen$$2Crossref$$9-- missing cx lookup --$$a10.1016/j.ijrobp.2004.06.017$$p772 -$$tInt J Radiat Oncol Biol Phys$$uNguyen NP, Frank C, Moltz CC, Vos P, Smith HJ, Karlsson U, Dutta S, Midyett A, Barloon J, Sallah S (2005) Impact of dysphagia on quality of life after treatment of head-and-neck cancer. Int J Radiat Oncol Biol Phys 61(3):772–778$$v61$$y2005
000267541 999C5 $$1K Nordin$$2Crossref$$9-- missing cx lookup --$$a10.1016/S0959-8049(00)00398-1$$p376 -$$tEur J Cancer (oxford, England: 1990)$$uNordin K, Berglund G, Glimelius B, Sjödén PO (2001) Predicting anxiety and depression among cancer patients: a clinical model. Eur J Cancer (oxford, England: 1990) 37(3):376–384$$v37$$y2001
000267541 999C5 $$1N Osazuwa-Peters$$2Crossref$$9-- missing cx lookup --$$a10.1001/jamaoto.2021.1728$$p1045 -$$tJAMA Otolaryngol Head Neck Surg$$uOsazuwa-Peters N, Barnes JM, Okafor SI, Taylor DB, Hussaini AS, Adjei Boakye E, Simpson MC, Graboyes EM, Lee WT (2021) Incidence and risk of suicide among patients with head and neck cancer in rural, urban, and metropolitan areas. JAMA Otolaryngol Head Neck Surg 147(12):1045–1052$$v147$$y2021
000267541 999C5 $$1SY Park$$2Crossref$$9-- missing cx lookup --$$a10.1016/j.jtcvs.2017.12.107$$p1793 -$$tJ Thorac Cardiovasc Surg$$uPark SY (2018) Nomogram: an analogue tool to deliver digital knowledge. J Thorac Cardiovasc Surg 155(4):1793$$v155$$y2018
000267541 999C5 $$1PJ Raue$$2Crossref$$9-- missing cx lookup --$$a10.1007/s11920-014-0466-8$$p466 -$$tCurr Psychiatry Rep$$uRaue PJ, Ghesquiere AR, Bruce ML (2014) Suicide risk in primary care: identification and management in older adults. Curr Psychiatry Rep 16(9):466$$v16$$y2014
000267541 999C5 $$1HH Samawi$$2Crossref$$9-- missing cx lookup --$$a10.3747/co.24.3713$$p513 -$$tCurrent Oncology (toronto, Ont.)$$uSamawi HH, Shaheen AA, Tang PA, Heng DYC, Cheung WY, Vickers MM (2017) Risk and predictors of suicide in colorectal cancer patients: a surveillance, epidemiology, and end results analysis. Current Oncology (toronto, Ont.) 24(6):513–517$$v24$$y2017
000267541 999C5 $$1CC Serrano$$2Crossref$$uSerrano CC, Dolci GF (2021) Suicide prevention and suicidal behavior. Gac Med Mex 157(5):547–552$$y2021
000267541 999C5 $$1A Shah$$2Crossref$$9-- missing cx lookup --$$a10.1017/S1041610207005285$$p1141 -$$tInt Psychogeriatr$$uShah A (2007) The relationship between suicide rates and age: an analysis of multinational data from the World Health Organization. Int Psychogeriatr 19(6):1141–1152$$v19$$y2007
000267541 999C5 $$1RL Siegel$$2Crossref$$9-- missing cx lookup --$$a10.3322/caac.21708$$p7 -$$tCA Cancer J Clin$$uSiegel RL, Miller KD, Fuchs HE, Jemal A (2022) Cancer statistics, 2022. CA Cancer J Clin 72(1):7–33$$v72$$y2022
000267541 999C5 $$1CE Steuer$$2Crossref$$9-- missing cx lookup --$$a10.3322/caac.21386$$p31 -$$tCA Cancer J Clin$$uSteuer CE, El-Deiry M, Parks JR, Higgins KA, Saba NF (2017) An update on larynx cancer. CA Cancer J Clin 67(1):31–50$$v67$$y2017
000267541 999C5 $$1Z Tu$$2Crossref$$9-- missing cx lookup --$$a10.1016/j.lungcan.2021.09.014$$p114 -$$tLung Cancer (amsterdam, Netherlands)$$uTu Z, Li C, Tian T, Chen Q (2021) A risk classification system predicting the cancer-specific survival for postoperative stage IB non-small-cell lung cancer patients without lymphovascular and visceral pleural invasion. Lung Cancer (amsterdam, Netherlands) 161:114–121$$v161$$y2021
000267541 999C5 $$1NG Zaorsky$$2Crossref$$9-- missing cx lookup --$$a10.1038/s41467-018-08170-1$$p207 -$$tNat Commun$$uZaorsky NG, Zhang Y, Tuanquin L, Bluethmann SM, Park HS, Chinchilli VM (2019) Suicide among cancer patients. Nat Commun 10(1):207$$v10$$y2019