Head and neck cancer (HNC) exerts a significant healthcare burden worldwide. Insufficient data impedes a comprehensive understanding of its global impact. Through analysis of the 2019 Global Burden of Disease (GBD) database, our secondary investigation unveiled a surging global incidence of HNC, yet a decline in associated mortality and disability-adjusted life years (DALYs) owing to enhanced prognosis. Particularly noteworthy is the higher incidence of escalation among females compared to males. Effective resource allocation, meticulous control of risk factors, and tailored interventions are imperative to curtail mortality rates among young individuals afflicted with HNC in underprivileged regions, as well as in elderly individuals grappling with thyroid cancer.

Thyroid cancer (TC) is a significant global healthcare burden. However, the lack of comprehensive data has impeded our understanding of its global impact. We aimed to examine the burden of TC and its trends at the global, regional, and national levels using data stratified by sociodemographic index (SDI), sex, and age. Data on TC, including incidence, mortality, and disability-adjusted life-years (DALYs) from 1990 to 2021, were obtained from the Global Burden of Disease Study 2021. Estimated annual percentage changes (EAPCs) were calculated to assess the incidence rate, mortality, and DALYs trends. The incidence, mortality, and DALYs of TC in 2021 were 249,538 (95% uncertainty interval: 223,290–274,638), 44,799 (39,925–48,541), and 646,741 (599,119–717,357), respectively. The age-standardized incidence rate (ASIR) in 2021 was 2.914 (2.607–3.213), with an EAPC of 1.25 (1.14–1.37) compared to 1990. In 2021, the age-standardized death rate (ASDR) was 0.53 (0.47–0.575) and age-standardized DALYs rate was 14.571 (12.783–16.115). Compared with 1990, the EAPCs of ASDR and age-standardized DALYs rate showed decreasing trends, at − 0.24 (− 0.27 to − 0.21) and − 0.14 (− 0.17 to − 0.11), respectively. Low SDI regions showed the highest ASDR and age-standardized DALYs rate, at 0.642 (0.516–0.799) and 17.976 (14.18–23.06), respectively. Low-middle SDI regions had the highest EAPCs for ASDR and age-standardized DALYs rate, at 0.74 (0.71–0.78) and 0.67 (0.63–0.7), respectively. Females exhibited decreasing trend in ASDR and age-standardized DALYs rate, with EAPCs of − 0.58 (− 0.61 to − 0.55) and − 0.45 (− 0.47 to − 0.42), respectively. In contrast, males showed an increasing trend in ASDR and age-standardized DALYs rate, with EAPCs of 0.41 (0.35–0.46) for both. In high-income regions, most countries with decreased annual changes in deaths experience increasing age-related deaths. Over the past few decades, a notable increase in TC incidence and decreased mortality has been observed globally. Regions characterized by lower SDI, male sex, and an aging population exhibited no improvement in TC mortality. Effective resource allocation, meticulous control of risk factors, and tailored interventions are crucial for addressing these issues.

Several cross-sectional studies have reported associations between oral diseases and obstructive sleep apnea (OSA). However, there have been no reports regarding the structure and composition of the oral microbiota with simultaneous evaluation of potential associations with perturbed metabolic profiles in pediatric OSA. An integrated approach, combining metagenomics based on high-throughput 16S rRNA gene sequencing, and metabolomics based on ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry and gas chromatography coupled with time-of-flight mass spectrometry, was used to evaluate the oral microbiome and the urinary metabolome. 16S rRNA gene sequencing indicated that the oral microbiome composition was significantly perturbed in pediatric OSA compared with normal controls, especially with regard to Firmicutes, Proteobacteria, Bacteroidetes, Fusobacteria, and Actinobacteria. Moreover, metabolomics profiling indicated that 57 metabolites, 5 of which were metabolites related to the microflora of the digestive tract, were differentially present in the urine of pediatric patients with OSA and controls. Co-inertia and correlation analyses revealed that several oral microbiome changes were correlated with urinary metabolite perturbations in pediatric OSA. However, this correlation relationship does not imply causality. High-throughput sequencing revealed that the oral microbiome composition and function were significantly altered in pediatric OSA. Further studies are needed to confirm and determine the mechanisms underlying these findings.

The high cost and low availability of polysomnography (PSG) limits the timely diagnosis of OSA. Herein, we developed and validated a simple-to-use nomogram for predicting OSA. We collected and analyzed the cross-sectional data of 4162 participants with suspected OSA, seen at our sleep center between 2007 and 2016. Demographic, biochemical and anthropometric data, as well as sleep parameters were obtained. A least absolute shrinkage and selection operator (LASSO) regression model was used to reduce data dimensionality, select factors, and construct the nomogram. The performance of the nomogram was assessed using calibration and discrimination. Internal validation was also performed. The LASSO regression analysis identified age, sex, body mass index, neck circumference, waist circumference, glucose, insulin, and apolipoprotein B as significant predictive factors of OSA. Our nomogram model showed good discrimination and calibration in terms of predicting OSA, and had a C-index value of 0.839 according to the internal validation. Discrimination and calibration in the validation group was also good (C-index = 0.820). The nomogram identified individuals at risk for OSA with an area under the curve (AUC) of 0.84 [95% confidence interval (CI), 0.83–0.86]. Our simple-to-use nomogram is not intended to replace standard PSG, but will help physicians better make decisions on PSG arrangement for the patients referred to sleep center.

This study aimed to explore the epidemiological trends of laryngeal cancer (LC) using the 2021 Global Burden of Disease (GBD) data. We analyzed the global LC incidence, deaths, disability-adjusted life years (DALYs), and risk factors from 1990 to 2021. We evaluated trends using the annual percentage change (EAPC) and examined variations and associations in LC burden across regions, sociodemographic index (SDI) categories, and age groups. In 2021, the global age-standardized incidence rate (ASIR) for LC was 2.293 (95% UI: 2.133–2.466), the age-standardized death rate (ASDR) was 1.35 (1.259–1.449), and the age-standardized DALYs rate was 35.803 (33.294–38.538). The EAPCs for ASIR, ASDR, and age-standardized DALYs were -1.089, -1.659, and -1.816, respectively. The ASIR was positively correlated with the SDI (R = 0.32, P < 0.05). The Caribbean had the highest ASDR (2.69) and second-highest EAPC of ASDR (-0.151). Tobacco accounted for 66.46% of global LC deaths, with a decreasing trend over the last 30 years (R = -1, P < 0.05). Conversely, occupational exposure among females showed an increasing trend (R = 0.61, P < 0.05). The reduction in death rate for the 80–89 years age group was nearly twice as high in the high SDI regions as in the low SDI regions (21.89% vs. 11.92%). From 1990 to 2021, global LC incidence, deaths, and DALYs decreased, although regional disparities persisted. Death rates remain high in economically disadvantaged regions, especially among the elderly and females with occupational risk. Continued efforts to control tobacco use, develop equitable screening programs, and enhance occupational safety are crucial for addressing global disparities in LC outcomes.

Bariatric surgery has been reported to be an effective treatment for obstructive sleep apnea (OSA). However, this evidence was not enough for different populations. Thus, we conducted a follow-up study to evaluate the effect of bariatric surgery on OSA in a Chinese population with obesity and type 2 diabetes mellitus (T2DM).