Oral potentially malignant disorders: Precising the definition

Sarode, Sachin C.; Sarode, Gargi S; Tupkari, Jagdish Vishnu

doi:10.1016/j.oraloncology.2012.02.025

Cited by 50 publications

(35 citation statements)

References 10 publications

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“…Predicting malignant transformation of potentially malignant disorders has always been a challenge to the clinicians and researchers. 12 Molecular studies have reported upregulation and downregulation of certain sets of biomarkers, but still uncertainty surrounds the prediction of malignant transformation. Moreover, there are diversified groups of disorders that fall under premalignant category, which makes biomarker profiling for such prediction more complicated.…”

Section: 5005/jp-journals-10024-1823mentioning

confidence: 99%

Junk DNA: Prospects for Oral Cancer Research

Sarode

Patil

2016

The Journal of Contemporary Dental Practice

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Section: 5005/jp-journals-10024-1823mentioning

confidence: 99%

Junk DNA: Prospects for Oral Cancer Research

Sarode

Patil

2016

The Journal of Contemporary Dental Practice

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“…1 Tobacco consumption often leads to leukoplakia and other oral potentially malignant disorders. [2][3][4] The…”

Section: Introductionmentioning

confidence: 99%

Potential Predictor of Tobacco Cessation among Factory Workers: A Baseline Data of Worksite Tobacco Cessation Programs in the Central Part of India

Gaikwad

Bhowate²,

Bajad

et al. 2017

The Journal of Contemporary Dental Practice

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Aim: Our study aimed to evaluate the prevalence of tobacco use among factory workers and identify the predicting factors for quitting tobacco use. Materials and methods:In this cross-sectional study, a total of 640 factory workers were included and divided into the quitter group and who had never quit the tobacco habit in the past. Data were collected by standardized and validated questionnaire pro forma, which comprised the demographic profile, smoking history, and Fagerström scale to check the nicotine dependence. Data were analyzed using descriptive analysis and Chi-squares test, whereas logistic regression was used to predict the factor for quitting the tobacco habit. All tests were applied using Statistical Package for the Social Sciences (SPSS) version 17.0. Potential Predictor of Tobacco Cessation among Factory Results:The mean age among the quitters was comparatively low than the never-quit group. Out of 640 participants, the majority of quitters and those who never quit were found to consume smokeless tobacco (232 [93.5]; 288 [73.5]). As per logistic regression analysis, gender of participants, age of starting tobacco use, and frequency of tobacco use can be considered as good predictors to quit smoking/chewing tobacco. Conclusion:The present study found that participants in the quitter group were less dependent on tobacco, and these participants were more likely to quit smoking if behavioral support was provided at the early days of the quitting attempt.Clinical significance: This study's result provides valuable insight into the current tobacco usage and potential predicting factors for quitting tobacco use among factory workers in India. These data can help in developing a policy for the implementation of tobacco cessation programs at the worksite.

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“…4 Molecular alterations are an integral part of malignant transformation of OSCC, which has been very well elucidated in our recently proposed definition. 5 Looking at the turnover rate and molecular expression variability at different sites of the oral cavity, a sense of wonder usually arises on the possibility of molecular heterogeneity in OSCC arising at distinct spots. If site-wise heterogeneity exists in OSCC, then it would have an immense impact on the future of development of targeted drug therapy.…”

Section: Introductionmentioning

confidence: 99%