epidemiological aspects of head and neck cancers in a population of south east region of iran

epidemiological aspects of head and neck cancers in a population of south east region of iran

;Hamideh Kadeh;Shirin Saravani;Babak Moradbeiki
public health nutrition 2015 Vol. 4 pp. 33-39
181
kadeh2015caspianepidemiological

Abstract

Introduction: The geographical distribution of head and neck cancer shows considerable variation and it is site dependent. The review of the literature shows few data concerning the head and neck cancer patterns in Iran. The purpose of this study was to represent epidemiological aspects of head and neck cancers in south east of Iran. Materials &Methods: In this retrospective study, from a total of 924 diagnosed patients with cancer in the pathology department of dentistry school archives and two main hospitals in south east of Iran during 2006-2012, 287 cases of head and neck cancer were diagnosed histopathologically . Demographic data of patients such as age, gender, location and type of cancer (carcinoma, sarcoma, melanoma, metastatic, or primary) were obtained from patients’ records. Data were analyzed by SPSS statistical software (V.21) using the chi-square test. Results: Squamous cell carcinoma (39.7%) and basal cell carcinoma (26.8%) were the most common malignancies in the head and neck region. The mean age of the patients was 56.1±12.8 years and the relationship between age groups and head and neck cancers was not statistically significant (P=0.085). Male to female ratio was 0.9 to 1. The relationship between gender and types of head and neck cancers was not statistically significant.(P=0.114) Conclusion: In this study, prevalence of head and neck cancer in south east of Iran (Zahedan) was relatively high. However, comparison between findings of our study with other studies shows a relation consistency.

Citation

ID: 204483
Ref Key: kadeh2015caspianepidemiological
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
204483
Unique Identifier:
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet