Literature DB >> 29534377

[Analysis of characteristics and influence factors of diagnostic delay of endometriosis].

X T Han1, H Y Guo, D L Kong, J S Han, L F Zhang.   

Abstract

Objective: To access the influence factors of diagnostic delay of endometriosis.
Methods: We designed a questionnaire of diagnostic delay of endometriosis. From February 2014 to February 2016, 400 patients who had dysmenorrhea and diagnosed with endometriosis by surgery in Peking University Third Hospital were surveyed retrospectively. Time and risk factors of diagnostic delay were analyzed.
Results: The diagnostic delay of 400 patients was 13.0 years (0.2-43.0 years), 78.5%(314/400) patients thought pain was a normal phenomenon and didn't see the doctor. Patients who suffered dysmenorrhea at menarche experienced longer diagnostic delay than those who had dysmenorrhea after menarche (18.0 vs 4.5 years; Z=191.800, P<0.01) . Patients who suffered aggravating dysmenorrhea experienced shorter delay time than those who suffered stable or relieving dysmenorrhea (11.0 vs 12.5 vs 18.0 years; Z=8.270, P<0.05) , with the difference statistically significant, single factor analysis shows. Severe dysmenorrhea, deep infiltration endometriosis (DIE) , family history of dysmenorrhea or endometriosis, previous surgical history of endometriosis, high stage, with infertility, adenomyoma or other symptoms, could help to shorten diagnostic delay with no significant difference (P>0.05) . By multiple logistic regression analysis, the results shown that whether have dysmenorrhea at menarche and clinical diagnosis time were the independent factors affecting delayed diagnosis (P<0.01) . Conclusions: Diagnostic delay of endometriosis is common and the mean delay time is 13.0 years mainly due to the unawareness of dysmenorrhea. Dysmenorrhea at menarche, clinical diagnosis time and dysmenorrhea intensity are the factors affecting time of diagnostic delay.

Entities:  

Keywords:  Delayed diagnosis; Dysmenorrhea; Early diagnosis; Endometriosis

Mesh:

Year:  2018        PMID: 29534377     DOI: 10.3760/cma.j.issn.0529-567X.2018.02.005

Source DB:  PubMed          Journal:  Zhonghua Fu Chan Ke Za Zhi        ISSN: 0529-567X


  7 in total

1.  Current situation of menstruation and gynecological diseases prevalence among Chinese women: a cross-sectional study.

Authors:  Francis Manyori Bigambo; Dandan Wang; Yuqing Zhang; Sabitina Mrisho Mzava; Rongrong Dai; Xu Wang
Journal:  BMC Womens Health       Date:  2022-07-04       Impact factor: 2.742

Review 2.  A review of the risk factors, genetics and treatment of endometriosis in Chinese women: a comparative update.

Authors:  Yi Dai; Xiaoyan Li; Jinghua Shi; Jinhua Leng
Journal:  Reprod Health       Date:  2018-05-21       Impact factor: 3.223

Review 3.  Systematic Review and Meta-Analysis of Incidence and Prevalence of Endometriosis.

Authors:  Antonio Sarria-Santamera; Binur Orazumbekova; Milan Terzic; Alpamys Issanov; Chen Chaowen; Angel Asúnsolo-Del-Barco
Journal:  Healthcare (Basel)       Date:  2020-12-30

4.  An Aotearoa New Zealand survey of the impact and diagnostic delay for endometriosis and chronic pelvic pain.

Authors:  Jordan Tewhaiti-Smith; Alex Semprini; Deborah Bush; Augustus Anderson; Allie Eathorne; Neil Johnson; Jane Girling; Michael East; Joy Marriott; Mike Armour
Journal:  Sci Rep       Date:  2022-03-15       Impact factor: 4.379

5.  Exploring the pharmacological effects and potential targets of paeoniflorin on the endometriosis of cold coagulation and blood stasis model rats by ultra-performance liquid chromatography tandem mass spectrometry with a pattern recognition approach.

Authors:  Xiu-Hong Wu; Xiao-Lan Sun; Chuang Zhao; Jin-Qi Zhang; Xu Wang; Ai-Hua Zhang; Xi-Jun Wang
Journal:  RSC Adv       Date:  2019-07-03       Impact factor: 4.036

6.  The burden of endometriosis in China from 1990 to 2019.

Authors:  Yan Wang; Xiaoyan Wang; Kaijun Liao; Baoqin Luo; Jiashou Luo
Journal:  Front Endocrinol (Lausanne)       Date:  2022-08-16       Impact factor: 6.055

7.  Identification of endometriosis-associated genes and pathways based on bioinformatic analysis.

Authors:  Ting Wang; Ruoan Jiang; Yingsha Yao; Linhua Qian; Yu Zhao; Xiufeng Huang
Journal:  Medicine (Baltimore)       Date:  2021-07-09       Impact factor: 1.817

  7 in total

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