Evidence map›Paper›PMID 41420407›Full record

ArticleInternational journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics2026

Post protocol residual thickness as a negative predictor for pharmacological treatment in early pregnancy loss.

Ravit Pertez-Machluf, Maya Kimhi, Rotem Yedidia Moser, David Rosen, Yair Daykan, Ron Schonman, Zvi Klein, Yael Yagur

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Article in International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics, 2026. 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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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Ravit Pertez-MachlufDepartment of Obstetrics and Gynecology, Sheba Medical Center, Tel Hashomer, Israel.
Maya KimhiRappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel.
Rotem Yedidia MoserSchool of Medicine, Gray Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel.
David RosenSydney Women's Endosurgery Centre (SWEC), St George Hospital, Sydney, New South Wales, Australia.
Yair DaykanSchool of Medicine, Gray Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel.
Ron SchonmanSchool of Medicine, Gray Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel.
Zvi KleinSchool of Medicine, Gray Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel.
Yael YagurSchool of Medicine, Gray Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel.ORCID https://orcid.org/0000-0002-3560-6374

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the rate of pharmacological treatment failure in early pregnancy loss, assess post-treatment residua thickness as a predictor of retained products of conception (RPOC), identify a clinically relevant cutoff, and evaluate additional clinical and sonographic predictors.

methodsThis retrospective cohort study was conducted at a tertiary medical center and included patients treated with mifepristone-misoprostol for first-trimester pregnancy loss between January 2019 and January 2022. Treatment success was assessed via transvaginal ultrasound, with residua thickness measured 14 days post-treatment. The primary outcome was failure, defined as histologically confirmed RPOC following hysteroscopy. Secondary analyses evaluated clinical and sonographic predictors, focusing on post-treatment residual thickness. Statistical analysis included receiver operating characteristic (ROC) curve assessment and multivariable logistic regression.

resultsOf the 717 patients included, 537 (74.9%) achieved successful medical management without further intervention, while 180 (25.1%) required intervention. Treatment failure was associated with greater post-treatment residua thickness (mean 19.1 ± 9.1 mm vs. 10.4 ± 6.7 mm, P < 0.001). Residua thickness was an independent predictor of failure (adjusted odds ratio [aOR] 1.17, 95% confidence interval [CI]: 1.13-1.21, P < 0.001). ROC analysis identified an optimal cutoff of 14.9 mm, yielding 70% sensitivity and 81% specificity (area under the curve [AUC]: 0.835, 95% CI: 0.80-0.87) for predicting the need for surgical intervention.

conclusionPost-treatment residual thickness is a significant predictor of pharmacological treatment failure in early pregnancy loss, with a clinically relevant cutoff of approximately 15 mm. Histologic validation provides a promising framework for refining management protocols, emphasizing the need for further studies to establish robust predictive criteria.

Indexed as

Abortion, SpontaneousMifepristoneMisoprostolAdultFemaleHumansPregnancyPregnancy Trimester, FirstRetrospective StudiesROC CurveTreatment FailureUltrasonographyMifepristoneMisoprostolearly pregnancy losspharmacological managementpredictive factorsretained products of conception (RPOC)treatment failure

Identifiers

PMID41420407
PMCPMC13173622

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