Nomograms predicting the overall and cancer-specific survival of patients with buccal mucosa cancer

Wang, Kenie; Zhang, Hanbin; Wei, Qingqian; Chen, Ying; Qin, Lingling

doi:10.1016/j.oooo.2022.01.004

Cited by 2 publications

(11 citation statements)

References 33 publications

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“…The prediction models were first internally validated by bootstrap resampling from the training cohort. The ROC and calibration curves showed high accuracy and concordance within the prediction of our models, which are comparable with previously reported predictive nomograms of BMC 10,11,18 . Furthermore, the reproducibility of our nomogram was further validated by an external validation set.…”

Section: Discussionsupporting

confidence: 86%

“…The ROC and calibration curves showed high accuracy and concordance within the prediction of our models, which are comparable with previously reported predictive nomograms of BMC. 10,11,18 Furthermore, the reproducibility of our nomogram was further validated by an external validation set. The consistency in predictions between the training and validation cohort suggested that our nomogram can be generalized to other BMC populations.…”

Section: Discussionmentioning

confidence: 97%

“…10,11,18,19 In comparison with models developed in those previous studies, our models may have some inherent advantages. First, we developed models for predicting both CSS and OS with a much larger sample size compared to previous studies, 10,11,18 which could have significantly improved the power of prediction. Second, we have identified and validated new prognostic factors, for example, primary tumor number and living area, that were not covered before by previous studies.…”

Section: Discussionmentioning

confidence: 99%

“…For example, M staging was found to impact CSS but not OS of BMC patients, 10 while marital status was found to impact OS only. 18 Osazuwa-Peters et al summarized that the main reasons for being married are to have better clinical outcomes related to health supervision, economic status, support from family, and transportation provided by spouses. 24 And Wang et al thought this might explain why married patients may be less likely to die from comorbidities.…”

Section: Discussionmentioning

confidence: 99%

“…[15][16][17] Moreover, the applicability of nomograms in predicting BMC prognosis has gained increasing attention recently, and some nomograms have already been developed. 10,11,18,19 However, the factors identified by the previous studies have been varying, even some of the studies were based on the same database. More importantly, no study has ever validated the performance of nomograms in predicting BMC prognosis by an extra dataset beyond the original dataset.…”

Section: Introductionmentioning

confidence: 99%

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Predicting survival in patients with buccal cancer: A study based on SEER database and external validation in China

Tan,

Huang,

et al. 2024

Cancer Medicine

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ObjectiveBuccal mucosa cancer (BMC) is one of the most common oral cancers and has poor prognosis. The study aimed to develop and validate nomograms for predicting the 1‐, 3‐, and 5‐year overall survival (OS) and cancer‐specific survival (CSS) of BMC patients.MethodsWe collected and reviewed information on BMC patients diagnosed between 2004 and 2019 from the Surveillance Epidemiology and End Results database. Two nomograms were developed and validated to predict the OS and CSS based on predictors identified by univariate and multivariate Cox regression. An extra external validation was further performed using data from Sun Yat‐sen Memorial Hospital (SYSMH).ResultsA total of 3154 BMC patients included in this study were randomly assigned to training and validation groups in a 2:1 ratio. Independent prognostic predictors were identified, confirmed, and fitted into nomograms for OS and CSS, respectively. The C‐indices are 0.767 (Training group OS), 0.801 (Training group CSS), 0.763 (Validation group OS), and 0.781 (Validation group OS), respectively. Moreover, the nomograms exhibited remarkable precision in forecasting and significant clinical significance, as evidenced by receiver operating characteristic (ROC) curves, calibration curves, and decision curve analyses (DCA). The final validation using our data from SYSMH also showed high accuracy and substantial clinical benefits within the nomograms. The C‐indices are 0.849 (SYSMH group OS) and 0.916 (SYSMH group CSS). These indexes are better than tumor, node, and metastasis stage based on prediction results.ConclusionsThe nomograms developed with great performance predicted 1‐, 3‐, and 5‐year OS and CSS of BMC patients. Use of the nomograms in clinical practices shall bring significant benefits to BMC patients.

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Section: Discussionsupporting

confidence: 86%

Section: Discussionmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Predicting survival in patients with buccal cancer: A study based on SEER database and external validation in China

Tan,

Huang,

et al. 2024

Cancer Medicine

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Análise Exploratória Dos Dados Referentes Aos Casos De Câncer Oral Diagnosticados No Acre

Conceição,

Thomaz Neto,

Colturato

2024

Rev. Contemp.

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Esta pesquisa tem como propósito apresentar um estudo sobre a caracterização do câncer na cavidade oral, além de atentarmos aos pontos relevantes quanto à epidemiologia, clínica e tratamento atualmente empregados. Assim no presente estudo foram analisados apenas dados secundários de acesso irrestrito presentes no estado do Acre e do Brasil, correspondentes ao período compreendido entre 2015 e 2019, coletados do departamento de informática do sistema único de saúde (datasus) na área do painel de oncologia Brasil. Como critérios de inclusão na pesquisa foram os casos diagnosticados como neoplasias malignas que atendem à delimitação de tempo e espaço geográfico descritos pela classificação internacional de doenças para oncologia (cid-o). Nossos resultados apresentaram que as regiões anatômicas mais afetadas foram lábios, gengivas, bochechas, palato duro, assoalho bucal, e língua sendo este o sítio topográfico mais acometido. Atualmente, a infecção pelo papilomavírus humano (hpv) está associada aos fatores de risco assim como tabaco e álcool, os quais têm contribuído na incidência destes cânceres. O diagnóstico precoce influencia diretamente no prognóstico, sendo fundamental, para tanto, uma criteriosa anamnese e exame físico em consultório médico e/ou odontológico. A maioria dos tumores foram diagnosticados com o estadiamento clínico tardio, o que contribuiu para um mal prognóstico da doença, demonstrando a importância de políticas públicas de prevenção e detecção precoce. Além do mais, os dados do DATASUS dispõem de informações superficiais sobre as neoplasias de cavidade oral, e desta forma não possui o potencial de servir como fonte de dados para planejamentos de ações de políticas públicas.

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Nomograms predicting the overall and cancer-specific survival of patients with buccal mucosa cancer

Cited by 2 publications

References 33 publications

Predicting survival in patients with buccal cancer: A study based on SEER database and external validation in China

Predicting survival in patients with buccal cancer: A study based on SEER database and external validation in China

Análise Exploratória Dos Dados Referentes Aos Casos De Câncer Oral Diagnosticados No Acre

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