Publications by authors named "Anil Chaturvedi"

Importance: The oral microbiome is increasingly recognized to play key roles in human health and disease; yet, population-representative characterizations are lacking.

Objective: Characterize the composition, diversity, and correlates of the oral microbiome among US adults.

Design: Cross-sectional population-representative survey.

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Importance: Poor oral health, including periodontal disease, is associated with oral microbiome changes and increased mortality risk. However, no large studies have evaluated whether the oral microbiome is directly associated with mortality.

Objective: To evaluate whether measures of the oral microbiome is prospectively associated with all-cause mortality.

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In addition to oropharyngeal cancers, evidence suggests there may be an etiologic role for human papillomavirus (HPV) in some other head and neck cancers arising from the oral cavity and larynx. We estimated the burden of HPV16-attributable cancers of the oral cavity (ICD-O-3 site codes C02.0-C02.

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Article Synopsis
  • - The study aimed to explore the connection between different job histories and the risk of developing buccal mucosa cancer (BMC) in men aged 20-75 years, using a case-control approach across multiple centers in Mumbai.
  • - Researchers found that certain occupations significantly increased the risk of BMC, including craft trades, machine operation, and elementary jobs, with specific groups like metal workers and drivers showing the highest risks.
  • - The study suggests preventive measures, like minimizing hazardous exposure in these jobs and focusing on tobacco control, could help reduce BMC risk, and highlights the need for further research to pinpoint specific harmful exposures linked to the disease.
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  • In cohort studies, collecting specimens from an entire group can be impractical and expensive, especially when needing large amounts of blood, like the 80mL cfDNA for Multi-Cancer Detection assays.
  • The proposed study design focuses on sampling individuals at the highest baseline disease risk to boost the number of cases collected, enhancing the analysis of cfDNA.
  • Simulation results showed that targeting 34% of the high-risk group could significantly increase the number of lung cancer cases detected and improve sensitivity, making risk-based specimen collection a more efficient method for molecular epidemiology.
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Background: The US Preventive Services Task Force (USPSTF) recommend lung cancer screening for individuals aged 50-80 years with at least 20 pack-years and no more than 15 quit-years, but uptake is low. The risk and benefit profiles of screening attendees are unknown; consequently, the impact and lost opportunity of ongoing lung cancer screening in the United States remains unclear.

Methods: We estimated lung cancer death risk (using the Lung Cancer Death Risk Assessment Tool) and life gained from screening (using the Life Years Gained From Screening-Computed Tomography model) for individuals aged 50-79 years who ever-smoked in the US representative 2022 Behavioral Risk Factor Surveillance System.

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For deep learning-based machine learning, not only are large and sufficiently diverse data crucial but their good qualities are equally important. However, in real-world applications, it is very common that raw source data may contain incorrect, noisy, inconsistent, improperly formatted and sometimes missing elements, particularly, when the datasets are large and sourced from many sites. In this paper, we present our work towards preparing and making image data ready for the development of AI-driven approaches for studying various aspects of the natural history of oral cancer.

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We estimated the population-level incidence of human papillomavirus (HPV)-positive oropharyngeal, cervical, and anal cancers by smoking status. We combined HPV DNA genotyping data from the Centers for Disease Control and Prevention's Cancer Registry Sentinel Surveillance System with data from the Kentucky Cancer Registry and Behavioral Risk Factor Surveillance System across smoking status. During 2004-2005 and 2014-2015 in Kentucky, most cases of oropharyngeal (63.

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Article Synopsis
  • A recent study explored the rising incidence of oral tongue cancers in the US since the 1980s, investigating links between inflammatory tongue conditions and various cancers in elderly individuals aged 65 and older.
  • Researchers analyzed data from 200,000 controls and thousands of cancer cases, focusing on conditions like glossitis and oral precancer diagnosed more than 12 months before cancer diagnosis.
  • The study found that patients with tongue cancer had a significantly higher prevalence of inflammatory tongue conditions (6.0% vs. 0.6% in controls), with strong associations for glossitis and other specified conditions, while associations were weaker for other oral cavity and oropharyngeal cancers.
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Background: This report quantifies counteracting effects of quit-years and concomitant aging on lung cancer risk, especially on exceeding 15 quit-years, when the US Preventive Services Task Force (USPSTF) recommends curtailing lung-cancer screening.

Methods: Cox models were fitted to estimate absolute lung cancer risk among Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial (PLCO) and National Lung Screening Trial (NLST) participants who ever smoked. Absolute lung cancer risk and gainable years of life from screening for individuals aged 50 to 80 in the US-representative National Health Interview Survey (NHIS) 2015-2018 who ever smoked were projected.

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Importance: Using race and ethnicity in clinical prediction models can reduce or inadvertently increase racial and ethnic disparities in medical decisions.

Objective: To compare eligibility for lung cancer screening in a contemporary representative US population by refitting the life-years gained from screening-computed tomography (LYFS-CT) model to exclude race and ethnicity vs a counterfactual eligibility approach that recalculates life expectancy for racial and ethnic minority individuals using the same covariates but substitutes White race and uses the higher predicted life expectancy, ensuring that historically underserved groups are not penalized.

Design, Setting, And Participants: The 2 submodels composing LYFS-CT NoRace were refit and externally validated without race and ethnicity: the lung cancer death submodel in participants of a large clinical trial (recruited 1993-2001; followed up until December 31, 2009) who ever smoked (n = 39 180) and the all-cause mortality submodel in the National Health Interview Survey (NHIS) 1997-2001 participants aged 40 to 80 years who ever smoked (n = 74 842, followed up until December 31, 2006).

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Background: The emergence of human papillomavirus (HPV)-positive oropharyngeal cancer and evolving tobacco use patterns have changed the landscape of head and neck cancer epidemiology internationally. We investigated updated trends in oropharyngeal cancer incidence worldwide.

Methods: We analyzed cancer incidence data between 1993 and 2012 from 42 countries using the Cancer Incidence in Five Continents database volumes V through XI.

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Article Synopsis
  • - The study investigates the rising incidence and survival rates of oropharyngeal cancers in the U.S., linking these trends to human papillomavirus (HPV) infection, particularly focusing on data from 1984 to 2004.
  • - Results showed a significant increase in HPV prevalence in oropharyngeal cancers over time, with a jump from 16.3% in the late '80s to 71.7% in the early 2000s, along with longer median survival for HPV-positive patients compared to those who were HPV-negative.
  • - The overall incidence of HPV-positive oropharyngeal cancers surged by 225%, while HPV-negative cases dropped by 50%; predictions suggest HPV
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Background: Human papillomavirus (HVP)-positive oropharyngeal cancer is the most common HPV-associated cancer in the United States. The age at acquisition of oral HPV infections that cause oropharyngeal cancer (causal infections) is unknown; consequently, the benefit of vaccination of US men aged 27-45 years remains uncertain.

Methods: We developed a microsimulation-based, individual-level, state-transition model of oral HPV16 and HPV16-positive oropharyngeal cancer among heterosexual US men aged 15-84 years, calibrated to population-level data.

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Objectives: This nested case-control study in the NIH-AARP Diet and Health Study was carried out to prospectively investigate the relationship of oral microbiome with head and neck cancer (HNC).

Materials And Methods: 56 incident HNC cases were identified, and 112 controls were incidence-density matched to cases. DNA extracted from pre-diagnostic oral wash samples was whole-genome shotgun metagenomic sequenced to measure the overall oral microbiome.

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Small ruler tapes are commonly placed on the surface of the human body as a simple and efficient reference for capturing on images the physical size of a lesion. In this paper, we describe our proposed approach for automatically extracting the measurement information from a ruler in oral cavity images which are taken during oral cancer screening and follow up. The images were taken during a study that aims to investigate the natural history of histologically defined oral cancer precursor lesions and identify epidemiologic factors and molecular markers associated with disease progression.

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Background: Oropharyngeal cancer (OPC) is a complex disease whose etiologies, either related to risk factors such as smoking or alcohol, or linked to HPV infection, are believed to be responsible for wide gender and geographical variability. This study depicts the current burden of OPC worldwide.

Methods: Estimated OPC new cases, deaths, age-standardized rates (ASR) for both incidence and mortality in 2020 were obtained from the GLOBOCAN database for each country and across 20 UN-defined world regions by sex.

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Intelligent computer-aided algorithms analyzing photographs of various mouth regions can help in reducing the high subjectivity in human assessment of oral lesions. Very often, in the images, a ruler is placed near a suspected lesion to indicate its location and as a physical size reference. In this paper, we compared two deep-learning networks: ResNeSt and ViT, to automatically identify ruler images.

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Tobacco products are used in vary many forms in India. Although the risk of tobacco uses in developing head and neck cancer (HNC) is known, risk by exclusive use of different tobacco products on HNC and its subtypes is poorly understood. A case-control study was conducted at a tertiary cancer hospital, which receives cases from different geographical regions of India with use of different types of tobacco products.

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In 1988, Blot and colleagues reported results from a U.S. case-control study of oral cavity or pharyngeal (oropharyngeal and hypopharyngeal) cancers, with results showing independent associations of smoking and alcohol with increased risk, multiplicative interaction effects between smoking and alcohol, and that nearly three-quarters of these cancers are attributable to smoking and alcohol.

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Background: Cancer incidence is higher in men than in women at most shared anatomic sites for currently unknown reasons. The authors quantified the extent to which behaviors (smoking and alcohol use), anthropometrics (body mass index and height), lifestyles (physical activity, diet, medications), and medical history collectively explain the male predominance of risk at 21 shared cancer sites.

Methods: Prospective cohort analyses (n = 171,274 male and n = 122,826 female participants; age range, 50-71 years) in the National Institutes of Health-AARP Diet and Health Study (1995-2011).

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