본문으로 건너뛰기
← 뒤로

Women and thyroid cancer incidence: overdiagnosis versus biological risk.

1/5 보강
Current opinion in endocrinology, diabetes, and obesity 2022 Vol.29(5) p. 492-496
Retraction 확인
출처

Lam D, Davies L, Sawka AM

📝 환자 설명용 한 줄

[PURPOSE OF THE REVIEW] Our aim is to discuss the concepts of sex and gender in the context of thyroid cancer epidemiology.

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • 연구 설계 meta-analysis

이 논문을 인용하기

↓ .bib ↓ .ris
APA Lam D, Davies L, Sawka AM (2022). Women and thyroid cancer incidence: overdiagnosis versus biological risk.. Current opinion in endocrinology, diabetes, and obesity, 29(5), 492-496. https://doi.org/10.1097/MED.0000000000000756
MLA Lam D, et al.. "Women and thyroid cancer incidence: overdiagnosis versus biological risk.." Current opinion in endocrinology, diabetes, and obesity, vol. 29, no. 5, 2022, pp. 492-496.
PMID 35855551 ↗

Abstract

[PURPOSE OF THE REVIEW] Our aim is to discuss the concepts of sex and gender in the context of thyroid cancer epidemiology.

[RECENT FINDINGS] It has been long-established in global epidemiologic data that thyroid cancer incidence rates are higher in women than men. However, what has been less well understood is whether this reflects sex disparities in cancer susceptibility, gender disparities in detection, or a combination. A recent meta-analysis of autopsy data from individuals who were not known to have thyroid cancer in their lifetime demonstrated no difference in the prevalence of thyroid cancer in women and men, suggesting that gender differences may be the reason for gender-based differences in thyroid cancer detection. This finding, and sex differences in auto immunity and other factors that may affect cancer susceptibility are explored.

[SUMMARY] Additional research to explore gender- and sex-specific data on thyroid cancer would inform our understanding of the differences and similarities between men and women in susceptibility and detection of thyroid cancer and help to optimize disease management for all genders and both sexes.

🏷️ 키워드 / MeSH 📖 같은 키워드 OA만

같은 제1저자의 인용 많은 논문 (1)

🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반