Evidence map›Paper›PMID 39929793›Full record

ArticleAnnals of Saudi medicine

Endometrial thickness as a predictive value of ectopic pregnancy in in-vitro fertilization/intracytoplasmic sperm injection cycles: a case-control study.

Haifa F Alsadhan, Ghadeer L Aljahdali, Samaher S Alfaraj, Nazish Masud, Mutlaq Almutlaq, Lujain Alwasel, Lena H Alfaraj, Salem Abualburak, Hayat Alrabieaa, Fahad Alsalman

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Article in Annals of Saudi medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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10 authors.

Haifa F AlsadhanFrom the Obstetrics & Gynecology Department, King Faisal Specialist Hospital & Research Centre, Riyadh, Saudi Arabia.
Ghadeer L AljahdaliFrom the College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.ORCID 0000-0001-7465-5462
Samaher S AlfarajFrom the College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
Nazish MasudFrom the College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
Mutlaq AlmutlaqFrom the College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
Lujain AlwaselFrom the College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
Lena H AlfarajFrom the College of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
Salem AbualburakFrom the Medical Sciences College, University of Western Ontario, London, Canada.
Hayat AlrabieaaFrom the College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
Fahad AlsalmanFrom the College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence rate of ectopic pregnancy (EP) with assisted reproductive technology (ART) has been reported to be higher than that of spontaneous pregnancy. Endometrial thickness (EMT) is considered an independent risk factor.

objectivesEvaluation of endometrial thickness as a predictor of ectopic pregnancy in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) cycles.

designCase-control study.

settingWomen's Health Specialist Hospital, formerly known as King Abdulaziz Medical City, National Guard Health Affairs, Riyadh, Saudi Arabia. PATIENTS AND

methodsThis study was a 1:2 matched case-control study that enrolled 24 ectopic pregnancy patients and 50 matched intrauterine pregnancy patients. They were matched on maternal age, the presence of tubal factor, and parity. The estimated sample size for patients with ectopic pregnancy was 25-30, whereas that for controls was estimated to be 60 patients. The sampling technique was a purposive (nonprobability).

main outcome measuresEndometrial thickness after IVF/ICSI is a predictor of ectopic pregnancy. SAMPLE: 79 patients.

resultsMultivariate logistic regression analysis was performed to analyze EP predictors, and a receiver operating characteristic (ROC) curve was used to evaluate the predictors of EP. After adjustment for other factors in the logistic regression model, we found that the tubular factor increased the risk of EP by 7.6 times, whereas the ovarian factor significantly decreased EP by 85%. Other factors, including EMT, did not significantly affect the probability of developing ectopic pregnancy.

conclusionsEMT was not predictive nor protective of EP in women who underwent ART cycles. Nevertheless, the presence of tubular factors has strong predictive value, whereas ovarian factors have significant protective value against EP. LIMITATIONS: The study design affects the generalizability and level of evidence provided. The small sample size and single-center inclusion had an impact on the results and statistical tests used.

Indexed as

EndometriumFertilization in VitroPregnancy, EctopicSperm Injections, IntracytoplasmicAdultCase-Control StudiesFemaleHumansLogistic ModelsPredictive Value of TestsPregnancyRisk FactorsROC CurveSaudi Arabia

Identifiers

PMID39929793
PMCPMC11810875

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