Clinical Predictive Factors for Diagnosis of Endometriosis in Iranian Infertile Population

Chaichian, Shahla; Mehdizadehkashi, Abolfazl; Najmi, Zahra; Mobasseri, Alireza; Jahanloo, Atoosa; Mohabbatian, Behnaz; Marashi, Mahjabin; Pishgahroudsari, Mohadeseh

doi:10.17795/minsurgery-24236

Cited by 3 publications

(9 citation statements)

References 23 publications

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“…The results of the current study showed that women with irregular menstrual cycles are at a greater risk of endometriosis (OR = 1.57), which is in line with the results reported previously in a similar population (8) that is also confirmed by Matalliotakis et al in Italy and Collazo colleagues in Poland (15,16) and it might be due to the fact that irregular menstruation increases the risk of developShiraz E-Med J. In Press(In Press):e62560.…”

Section: Discussionsupporting

confidence: 92%

“…Based on these studies and other similar studies, pregnancy and live births are protective factors against endometriosis (8,15,17,18). The reason for this phenomenon might be attributable to the fact that menstruation does not occur during pregnancy and some women during lactation, as a result, experience fewer menstrual cycles; so, the likelihood of retrograde menstruation would be reduced in them that may act as a protective factor against endometriosis.…”

Section: Discussionmentioning

confidence: 67%

“…This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited Various studies have investigated the factors affecting endometriosis in Iranian infertile women. The results of these studies (7,8), using logistic regression, showed an association between endometriosis and socio-economic characteristics, fertility, menstruation, lifestyle, etc., but the results are somewhat inconsistent due to the wide variety of patients and control groups in the studies (5) and studies assessing the predictive factors have used logistic regression in their prediction model.…”

Section: Introductionmentioning

confidence: 99%

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Factors Affecting Endometriosis in Women of Reproductive Age: The Differences Between the Results of Neural Network and Logistic Regression

et al. 2018

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Background: Endometriosis is a common gynecologic problem in women of reproductive age around the globe. The aim of this study was to specify the factors influencing endometriosis in women of reproductive age using logistic regression and artificial neural network (ANN). Methods:The data of this case-control study was obtained from the medical records in Rasoul-e-Akram hospital, Tehran. Patients, who underwent laparoscopy from 2007 to 2015 and were diagnosed with endometriosis, were selected as the case group (n = 250), and patients diagnosed without endometriosis served as controls (n = 250). To investigate the factors affecting the occurrence of endometriosis, ANN and logistic regression were used and for evaluating the efficiency of the two methods, the area under the ROC curve (AUC) was used. To analyze the data, SPSS (version 22) and R (version 3.2.1) software were used.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 67%

Section: Introductionmentioning

confidence: 99%

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Factors Affecting Endometriosis in Women of Reproductive Age: The Differences Between the Results of Neural Network and Logistic Regression

et al. 2018

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“…In addition, Mamdouh et al 25 found that women with irregular cycles were three times more likely to develop endometriosis than women with regular cycles, which is inconsistent with our finding. In another study Chaichian et al 13 found that irregular menstruation was 18.3% in endometriosis group and 29.2%% in non endometriosis group. The above findings closely differ from the findings of current study.…”

Section: Methodsmentioning

confidence: 90%

“…17 It this study there was no significant difference in educational status of women with or without endometriosis which is consistent with the findings of study conducted by Darwish et al 15 ; An Italian group 18 ; Berube et al 19 found no relation between education and presence of endometriosis. Chaichian et al 13 reported that there was no difference regarding educational level of two groups.…”

Section: Methodsmentioning

confidence: 95%

Risk Profiles Associated with Endometriosis among Infertile Women

Khan

Rahman²,

Nasreen

et al. 2020

Bangladesh J Obstet Gynaecol

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Background: Endometriosis is a common gynaecological disorder which is found in about5% of women and in 30% of infertile women. Identification of risk factors and timely interventionis useful. Methods: A case control study was conducted in the Dept. of obs & gynae of BangabandhuSheikh Mujib Medical University, Shahbag, Dhaka, from October 2015 to March 2016 on50 infertile patients attending the Infertility unit of the institute with the objective to determinethe risk factors of endometriosis. Twenty five women with endometriosis was taken ascases (group-I) and twenty five women without endometriosis was taken as controls(group-II). Result: The mean age was 32.8±5.4 years in group I and 35.1±5.7 years in group II which issimilar. Urban residents were 3.21 times (with 95% CI 0.87-12.71%) more likely to developendometriosis than rural resident which was statistically significant (p<0.05).Among the study population BMI of 72% patients in group I and 68% in group II were within19-24 kg/m2. The difference was not statistically significant (p>0.05) . There was notstatistically significant difference (p>0.05) between two groups in OCP use (84%vs80%).Women with endometriosis had less physical activity than the women without endometriosis;the differences was statistically significant (p<0.05). Consumption of caffeine, red meat,vegetables and fruits has no effect on endometriosis. Women with pain during menstruationwere 29.33 times (with 95% CI 5.17-100%) and women with heavy amount of blood flow were5.09 times (with 95% CI 1.24-22.06%) more likely to be endometriosis, which was statisticallysignificant (p<0.05) . Other risk factors like- age, occupation, educational status, age atmenarche and cycle length were not significantly (p>0.05) associated with endometriosis. Conclusion: Urban residence and all types of physical activities d”1 hour per day weresignificantly higher in infertile women with endometriosis. Bangladesh J Obstet Gynaecol, 2018; Vol. 33(2) : 131-139

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Reproductive and Menstrual Risk Factors for Endometriosis Disease: A Case-Control Study

Mollazadeh

Kamalifard

Oskouei

et al. 2019

Crescent J Med Biol Sci

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Objectives: The endometriosis prevalence in the general population is about 7%-10%. In 30% of women, endometriosis is one of the causes of primary and secondary infertility. There are various risk factors for this disease. The present study aimed to determine the reproductive and menstrual risk factors of endometriosis. Materials and Methods: In this case-control study, 185 women of reproductive age with confirmed endometriosis were compared with 370 women of reproductive age who referred to the same center for other problems in terms of reproductive and menstruation risk factors for endometriosis. The two groups were matched for age. Data were collected using a researcher-made questionnaire based on previous studies. Finally, bivariate analysis was done by the chi-square test, and multivariate analysis was performed by the conditional logistic regression for controlling confounder variables. Results: Based on multivariate logistic regression, early menarche age (P=0.004), no history of pregnancy (P<0.001), no child (P=0.002), no lactation history (P<0.001), high age of the first lactation (P=0.029), short duration of breastfeeding (P=0.015), no regular menstruation (P<0.001), short intervals between menstrual bleedings (P=0.016), prolonged menstruation (P<0.001), dysmenorrhea (P<0.001), dyspareunia (P<0.001), and recurrent vaginitis (P<0.001) had a significant relationship with endometriosis. Conclusions: In general, there was a relationship between some reproductive and menstrual characteristics and endometriosis. Therefore, it seems that these characteristics can predict the occurrence of endometriosis disease.

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Clinical Predictive Factors for Diagnosis of Endometriosis in Iranian Infertile Population

Cited by 3 publications

References 23 publications

Factors Affecting Endometriosis in Women of Reproductive Age: The Differences Between the Results of Neural Network and Logistic Regression

Factors Affecting Endometriosis in Women of Reproductive Age: The Differences Between the Results of Neural Network and Logistic Regression

Risk Profiles Associated with Endometriosis among Infertile Women

Reproductive and Menstrual Risk Factors for Endometriosis Disease: A Case-Control Study

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