Literature DB >> 27727464

Evaluation of multiple primary and combination screening strategies in postmenopausal women for detection of cervical cancer in China.

Hunter K Holt1,2,3, Li Zhang1, Fang-Hui Zhao1, Shang-Ying Hu1, Xue-Lian Zhao1, Xun Zhang1, Qin-Jing Pan1, Wen-Hua Zhang1, Jennifer S Smith4, You-Lin Qiao1.   

Abstract

As China's population ages, the importance of determining prevalence of cervical disease and accurate cervical cancer screening strategies for postmenopausal women is increasing. Seventeen population-based studies were analyzed to determine prevalence of cervical neoplasia in postmenopausal women. All women underwent HPV DNA testing, visual inspection with acetic acid (VIA) and cytology testing. Diagnostic values for primary and combinations screening methods included sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), referral rate and area under curve (AUC) were calculated using directed biopsy or four quadrants biopsy as reference standard. Premenopausal and postmenopausal women had equal HPV infection and cervical neoplasia rates (p > 0.05). HPV DNA testing CIN3+ sensitivity, specificity, PPV, NPV, referral rate and AUC were 97.9% (95% CI: 90.2-99.9%), 84.2% (95% CI: 82.8-85.5%), 9.9% (95% CI: 7.4-12.8%), 100% (95% CI: 99.8-100%), 17.2% (95% CI: 15.9-18.7%), 0.911, respectively. VIA values were 41.7% (95% CI: 28.4-55.9%), 94.5% (95% CI: 93.6-95.3%), 11.8% (95% CI: 7.5-17.3%), 98.9% (95% CI: 98.5-99.3%), 6.2% (95% CI: 5.3-7.1%) and 0.681, respectively. Values for VIA with HPV triage were 39.6% (95% CI: 26.6-53.8%), 99.2% (95% CI: 98.8-99.5%), 45.2% (95% CI: 30.8-60.4%), 98.9% (95% CI: 98.5-99.3%), 1.5% (95% CI: 1.1-2.0%) and 0.694, respectively. VIA and HPV DNA co-test values were 100% (95% CI: 94.0-100%), 79.5% (95% CI: 78.0-81.0%), 8.0% (95% CI: 6.0-10.3%), 100% (95% CI: 99.9-100%), 21.9% (95% CI: 20.4-23.4%) and 0.898, respectively. VIA sensitivity decreases significantly in postmenopausal women compared to premenopausal performance. HPV DNA testing maintains performance between pre- and postmenopausal women and is the most accurate primary modality for screening postmenopausal populations in low resource areas of China.
© 2016 UICC.

Entities:  

Keywords:  China; HPV; HPV DNA testing; cervical cancer; cytology; menopause; prevalence; visual inspection with acetic acid

Mesh:

Substances:

Year:  2016        PMID: 27727464     DOI: 10.1002/ijc.30468

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  8 in total

1.  Clinical Performance of Human Papillomavirus Testing and Visual Inspection With Acetic Acid in Primary, Combination, and Sequential Cervical Cancer Screening in China.

Authors:  Margaret Z Wang; Rui-Mei Feng; Shaoming Wang; Xian-Zhi Duan; Dong Li; Xun Zhang; Rong Mu; Youlin Qiao; Jennifer S Smith
Journal:  Sex Transm Dis       Date:  2019-08       Impact factor: 2.830

2.  Accuracy of triage strategies for human papillomavirus DNA-positive women in low-resource settings: A cross-sectional study in China.

Authors:  Margaret Wang; Shangying Hu; Shuang Zhao; Wenhua Zhang; Qinjing Pan; Xun Zhang; Feng Chen; Jinxiu Han; Junfei Ma; Jennifer S Smith; Youlin Qiao; Caihong Zhou; Fanghui Zhao
Journal:  Chin J Cancer Res       Date:  2017-12       Impact factor: 5.087

3.  MiR-125 inhibited cervical cancer progression by regulating VEGF and PI3K/AKT signaling pathway.

Authors:  Ke Fu; Ling Zhang; Rui Liu; Qi Shi; Xue Li; Min Wang
Journal:  World J Surg Oncol       Date:  2020-05-30       Impact factor: 2.754

4.  A study on service capacity of primary medical and health institutions for cervical cancer screening in urban and rural areas in China.

Authors:  Yang Li; Li Ma; Chunxia Yang; Zhangya Chen; Yuqian Zhao; Le Dang; Jinghe Lang; Youlin Qiao
Journal:  Chin J Cancer Res       Date:  2019-10       Impact factor: 5.087

5.  Human papillomavirus infection rate, distribution characteristics, and risk of age in pre- and postmenopausal women.

Authors:  Yan Shen; Jing Xia; Huihui Li; Yang Xu; Sanping Xu
Journal:  BMC Womens Health       Date:  2021-02-25       Impact factor: 2.809

6.  MicroRNA-199a Inhibits Cell Proliferation, Migration, and Invasion and Activates AKT/mTOR Signaling Pathway by Targeting B7-H3 in Cervical Cancer.

Authors:  Xiang Yang; Kai-Xun Feng; Hu Li; Li Wang; Hong Xia
Journal:  Technol Cancer Res Treat       Date:  2020 Jan-Dec

7.  Proteomic analysis of human cervical adenocarcinoma mucus to identify potential protein biomarkers.

Authors:  Zhifang Ma; Jie Chen; Ting Luan; Chengzhuo Chu; Wangfei Wu; Yichao Zhu; Yun Gu
Journal:  PeerJ       Date:  2020-07-28       Impact factor: 2.984

8.  HPV self-sampling acceptability in rural and indigenous communities in Guatemala: a cross-sectional study.

Authors:  Audrey R Murchland; Anna Gottschlich; Kristin Bevilacqua; Andres Pineda; Berner Andrée Sandoval-Ramírez; Christian S Alvarez; Gina S Ogilvie; Thomas E Carey; Mark Prince; Michael Dean; Carlos Mendoza Montano; Alvaro Rivera-Andrade; Rafael Meza
Journal:  BMJ Open       Date:  2019-10-28       Impact factor: 3.006

  8 in total

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