Evidence map›Paper›PMID 30577792›Full record

ArticleBMC women's health2018

Factors associated with deep infiltrating endometriosis versus ovarian endometrioma in China: a subgroup analysis from the FEELING study.

Yi Dai, Yingfang Zhou, Xinmei Zhang, Min Xue, Pengran Sun, Jinhua Leng, Charles Chapron

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC women's health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01351051 (A Multi-centre, Multinational, Cross-sectional, Incident Case-control Study on Factors Associated With the Development of Endometrioma and Deep Infiltrating Endometriosis), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.7field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT01351051 completednot on this map

A Multi-centre, Multinational, Cross-sectional, Incident Case-control Study on Factors Associated With the Development of Endometrioma and Deep Infiltrating Endometriosis

TypeobservationalSponsorIpsenRan2011 to 2013Enrolled1,008ConditionsEndometriosis
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Reproductive tract microbiome dysbiosis associated with gynecological diseases.Frontiers in cellular and infection microbiology · 2025
    Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Giant Ovarian Endometrioma: A Case Report.Journal of the West African College of Surgeons
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 2 countries.

Yi DaiDepartment of Gynecology and Obstetrics, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Yingfang ZhouDepartment of Gynecology and Obstetrics, Peking University First Hospital, Beijing, China.
Xinmei ZhangDepartment of Gynecology and Obstetrics, Women's Hospital School of Medicine Zhejiang University, Hangzhou, China.
Min XueDepartment of Gynecology and Obstetrics, The Third Xiangya Hospital of Central South University, Changsha, China.
Pengran SunMedical Department, Ipsen (Beijing) Pharmaceutical Science and Technology Development Co., Ltd, Beijing, China.
Jinhua LengDepartment of Gynecology and Obstetrics, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China. lengjenny@vip.sina.com.ORCID 0000-0001-5604-4019
Charles ChapronDepartment of Gynecology and Obstetrics II and Reproductive Medicine, Centre Hospitalier Universitaire Cochin, Baˆtiment Port Royal, 53 avenue de l'Observatoire, Paris, 75014, France.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNCentral South University · CNMaternité Port Royal · FRPeking University · CNWomen's Hospital, School of Medicine, Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo compare potential factors associated with deep infiltrating endometriosis (DIE) versus ovarian endometrioma (OMA) among endometriosis patients in China.

methodsA subgroup analysis of factors associated with DIE versus OMA was performed in Chinese women from the FEELING study. This study included 156 OMA patients and 78 DIE patients. Retrospective information on symptoms and previous medical history was collected via face-to-face interviews; patients also completed a questionnaire to provide information on current habits. Univariate and multivariate logistic regression analyses were conducted to identify potential factors that are associated with DIE versus OMA.

resultsFrom univariate analysis, women who were married, at older age, had any siblings, prior pregnancy, or longer time since age at menarche on the day of visit were more likely to be diagnosed with DIE (P < 0.05). Also, the incidence of previous uterine surgery, menstrual and ovulatory disorders, deep dyspareunia, and gastrointestinal symptoms during menstruation were major factors that were significantly associated with the diagnosis of DIE (P < 0.05). Multivariate analysis showed that women with any siblings, gastrointestinal symptoms during menstruation, or eating a greater number of fruit/vegetables per day were more likely to be diagnosed with DIE. Meanwhile, eating organic food and experiencing stress were major factors that are associated with the diagnosis of OMA.

conclusionsThe findings provide additional information on the potential risk factors that are associated with DIE, compared with OMA among Chinese endometriosis patients. The results may help to better understand DIE versus OMA, and aid in earlier risk stratification and diagnosis of the patients.

trial registrationNCT01351051 . Registered 10 May 2011.

Indexed as

AdultChinaEndometriosisFemaleHumansMultivariate AnalysisOvarian DiseasesPeritoneal DiseasesRetrospective StudiesRisk AssessmentRisk FactorsWomen's HealthChinese womenDeep infiltrating endometriosis (DIE)FEELING studyOvarian endometrioma (OMA)

Identifiers

PMID30577792
PMCPMC6303976
OpenAlexW2905905837

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.