The Prognostic Utilities of Various Risk Factors for Laryngeal Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis

Kim, Do Hyun; Kim, Sung Won; Han, Jae Sang; Kim, Geun‐Jeon; Basurrah, Mohammed Abdullah; Hwang, Se Hwan

doi:10.3390/medicina59030497

Cited by 8 publications

(13 citation statements)

References 53 publications

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“…The incidence of laryngeal cancer is notably higher in older age groups and males, primarily due to the cumulative effects of these risk factors over time [ 13 ], which is consistent with our findings. The most significant risk factor is smoking and tobacco use, as the carcinogens in tobacco can cause DNA mutations in laryngeal cells, with the risk increasing with prolonged and intense smoking [ 14 , 15 ]. Heavy alcohol use also significantly raises the risk, especially when combined with smoking [ 14 , 15 ].…”

Section: Discussionmentioning

confidence: 99%

Insights From the National Inpatient Sample (2016–2019) on Laryngeal Cancer Incidence and Trends

Albazee,

Alharran,

Alzayed

et al. 2024

Cureus

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Background: Laryngeal cancer has a significant impact on speech, swallowing, and quality of life. This study aims to analyze laryngeal cancer trends using the National Inpatient Sample (NIS) database, providing insights into its epidemiology.Methods: Data from the NIS database was analyzed for a cohort of 14,282 laryngeal cancer cases from 2016 to 2019. Baseline characteristics and demographic parameters, including primary expected payer, age groups, hospital types, and geographic regions, were examined. Descriptive statistics and trend analysis were conducted.Results: The cohort showed consistent annual case numbers (range: 3739-3948). The highest case numbers were in the 40-64 age group (average 1998 cases/year), followed by the 65-80 age group (average 1473 cases/year). Medicare was the most common primary expected payer, followed by Medicaid, private insurance, self-pay, and no charge. The cohort was roughly three times more skewed toward males, with an average of 2936 male cases per year compared to 885 female cases. Notable trends included significant positive correlations with time for urban teaching hospitals, the South region, older age group (65-80 years), and Asian or Pacific Islander individuals. However, the overall correlation between case numbers and time was not statistically significant. The primary expected payer and deaths exhibited moderate correlations with time but did not reach statistical significance. Conclusion:This study provides insights into the baseline characteristics and trends in laryngeal cancer incidence. The observed demographic shifts highlight the need for further investigation into underlying factors influencing case distribution. Understanding these trends can guide targeted interventions for prevention, early detection, and treatment of laryngeal cancer.

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Section: Discussionmentioning

confidence: 99%

Insights From the National Inpatient Sample (2016–2019) on Laryngeal Cancer Incidence and Trends

Albazee,

Alharran,

Alzayed

et al. 2024

Cureus

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“…We extracted the study details, including author name, publication year, country, patient demographics (including number, age and sex ratio), the presence of CRS or nasal polyp, and ORs and corresponding 95% CIs. If both multivariate and univariate analyses were conducted to evaluate risk factors, the ORs and 95% CIs derived from the multivariate analysis were used 21 . The Newcastle–Ottawa scale was used to evaluate study quality (range: 0–9), with a score ≥6 indicating high quality.…”

Section: Methodsmentioning

confidence: 99%

“…If both multivariate and univariate analyses were conducted to evaluate risk factors, the ORs and 95% CIs derived from the multivariate analysis were used. 21 The Newcastle-Ottawa scale was used to evaluate study quality (range: 0-9), with a score ≥6 indicating high quality.…”

Section: Data Extraction and Risk Of Bias Assessmentmentioning

confidence: 99%

Are statins effective in preventing chronic rhinosinusitis? A systematic review and meta‐analysis

Kim,

Han

et al. 2023

Clinical Otolaryngology

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ObjectivesTo evaluate the association between statin use and chronic rhinosinusitis (CRS).Design and SettingSystematic review and meta‐analysis. The methodological quality of studies was assessed using the Newcastle–Ottawa scale.ParticipantsPatients with CRS.Main Outcome MeasuresPooled odds ratios (ORs) with 95% confidence interval (CIs) in analyses of studies that compared the prevalence of CRS, nasal polyp, difference of Lund‐Kennedy endoscopic score, Lund‐Mackay CT score and Sino‐nasal Outcome Test‐22.ResultsThe analysis included eight studies and 445 465 patients. Patients who used statins were at lower risk for CRS than those who did not (OR = 0.7457, 95% CI = 0.6629–0.8388, p < 0.0001, I2 = 0.0%). Patients with hyperlipidaemia were at higher risk for CRS than those with normal serum levels of lipid (OR = 1.3590, 95% CI = 1.2831–1.4394, p < 0.0001, I2 = 33.3%). However, there were no significant differences in the risk for nasal polyps between CRS patients using statins or not (OR = 1.0931, 95% CI = 0.7860–1.5202, p = 0.5968, I2 = 0.0%). Additionally, statin use was not related to Lund‐Kennedy endoscopic scores, Lund‐Mackay CT scores or sino‐nasal outcome test‐22 scores in CRS patients.ConclusionThe risk for CRS is lower in patients who use statins and those without hyperlipidaemia.

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“…Early detection and treatment are especially crucial for laryngeal cancer because it has an excellent prognosis and quality of life. Advanced laryngeal cancer can be treated with definitive Radiation therapy, combination chemotherapy, or adjuvant radiotherapy and total laryngectomy in addition to surgery, radiotherapy, chemotherapy, and other comprehensive treatments 5 , 6 . Different stages, forms, and treatments of laryngeal cancer have varying chances of survival, and the overall patient's 5-year relative survival rate is 64% 2 .…”

Section: Introductionmentioning

confidence: 99%

Creation of a machine learning-based prognostic prediction model for various subtypes of laryngeal cancer

Wang,

Zhang

et al. 2024

Sci Rep

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Depending on the source of the blastophore, there are various subtypes of laryngeal cancer, each with a unique metastatic risk and prognosis. The forecasting of their prognosis is a pressing issue that needs to be resolved. This study comprised 5953 patients with glottic carcinoma and 4465 individuals with non-glottic type (supraglottic and subglottic). Five clinicopathological characteristics of glottic and non-glottic carcinoma were screened using univariate and multivariate regression for CoxPH (Cox proportional hazards); for other models, 10 (glottic) and 11 (non-glottic) clinicopathological characteristics were selected using least absolute shrinkage and selection operator (LASSO) regression analysis, respectively; the corresponding survival models were established; and the best model was evaluated. We discovered that RSF (Random survival forest) was a superior model for both glottic and non-glottic carcinoma, with a projected concordance index (C-index) of 0.687 for glottic and 0.657 for non-glottic, respectively. The integrated Brier score (IBS) of their 1-year, 3-year, and 5-year time points is, respectively, 0.116, 0.182, 0.195 (glottic), and 0.130, 0.215, 0.220 (non-glottic), demonstrating the model's effective correction. We represented significant variables in a Shapley Additive Explanations (SHAP) plot. The two models are then combined to predict the prognosis for two distinct individuals, which has some effectiveness in predicting prognosis. For our investigation, we established separate models for glottic carcinoma and non-glottic carcinoma that were most effective at predicting survival. RSF is used to evaluate both glottic and non-glottic cancer, and it has a considerable impact on patient prognosis and risk factor prediction.

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The Prognostic Utilities of Various Risk Factors for Laryngeal Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis

Cited by 8 publications

References 53 publications

Insights From the National Inpatient Sample (2016–2019) on Laryngeal Cancer Incidence and Trends

Insights From the National Inpatient Sample (2016–2019) on Laryngeal Cancer Incidence and Trends

Are statins effective in preventing chronic rhinosinusitis? A systematic review and meta‐analysis

Creation of a machine learning-based prognostic prediction model for various subtypes of laryngeal cancer

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