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Record W4415011779 · doi:10.1002/uog.70104

Multiple pregnancy with complete hydatidiform mole and coexisting normal fetus: systematic review and meta‐analysis of clinical outcomes from non‐randomized studies

2025· review· en· W4415011779 on OpenAlexaboutno aff
Noemi Salmeri, Ariany Dalmolin Pizzetti, Elisa Grassi, Raffaella Cioffi, Giorgia Mangili, Michael J. Seckl, Alexandros Sotiriadis, M. Candiani, Paolo Ivo Cavoretto

Bibliographic record

VenueUltrasound in Obstetrics and Gynecology · 2025
Typereview
Languageen
FieldMedicine
TopicGestational Trophoblastic Disease Studies
Canadian institutionsnot available
FundersMansoura University
KeywordsReferralPregnancyObstetrics and gynaecologyGestationGestational ageMaternal-fetal medicineReproductive medicine

Abstract

fetched live from OpenAlex

ABSTRACT Objective Complete hydatidiform mole and coexisting normal fetus (CHMCF) is a rare condition for which there is significant heterogeneity in diagnosis, counseling and management of complications. The objective of this study was to summarize the prevalence of clinical outcomes in reported cases of CHMCF. Methods A systematic literature search was conducted in PubMed, Embase and Scopus databases from inception until 1 October 2024. Case series and cohort studies including at least three cases of histologically confirmed CHMCF were included. A random‐effects model was used for meta‐analysis of proportions and heterogeneity was estimated using Higgins' I 2 index. The Newcastle–Ottawa scale and the Joanna Briggs Institute critical appraisal checklist were used to assess study quality, while certainty of evidence was assessed using Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology. The study was registered in the PROSPERO database (CRD42023431734). Results Quantitative synthesis included 19 studies and 417 cases of CHMCF. Diagnosis was made using ultrasound in 76.0% (95% CI, 58.5–90.6%) of cases and occurred in the first trimester in 52.7% (95% CI, 34.0–71.0%). Symptoms at diagnosis were present in 80.5% (95% CI, 66.1–92.3%) of cases, with vaginal bleeding being the most common symptom both at diagnosis and later in pregnancy. The pooled proportion of elective pregnancy termination was 48.8% (95% CI, 32.7–65.1%), with 6.2% (95% CI, 1.0–13.9%) due to maternal complications. The pooled proportion of live births was 46.5% (95% CI, 36.1–57.1%), with most being delivered by Cesarean section (71.2% (95% CI, 42.4–94.4%)). Preterm birth (< 37 weeks) occurred in 67.8% (95% CI, 44.7–88.1%) of cases, very preterm birth (< 32 weeks) in 12.4% (95% CI, 0.2–33.9%) and miscarriage (fetal death < 24 weeks) in 32.7% (95% CI, 26.1–39.6%). Pre‐eclampsia was present in 17.8% (95% CI, 5.9–32.7%) of cases and postpartum hemorrhage occurred in 42.7% (95% CI, 5.1–84.8%). A small‐for‐gestational‐age neonate (birth weight < 10 th percentile) was delivered in 40.6% (95% CI, 12.9–70.8%) of cases. Rates of neonatal and maternal mortality were negligible. The pooled proportion of gestational trophoblastic neoplasia was 33.8% (95% CI, 25.6–42.5%); among elective terminations, continued pregnancies and live births, the rates were 14.1% (95% CI, 5.4–24.9%), 20.3% (95% CI, 12.0–29.9%) and 5.9% (95% CI, 1.9–11.2%), respectively. The evidence level according to GRADE was low to very low. Conclusions Pregnancies with CHMCF present a high risk of maternal, obstetric and neonatal complications, including miscarriage, pre‐eclampsia, small‐for‐gestational age, postpartum hemorrhage and preterm birth. The risk of developing gestational trophoblastic neoplasia was not clearly mitigated by early pregnancy termination. Early diagnosis, referral to a maternal–fetal medicine unit with expertise in trophoblastic disorders and extensive implementation of screening protocols for preterm birth and pre‐eclampsia are recommended to facilitate timely intervention aimed at outcome improvement. © 2025 The Author(s). Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.206
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.681
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.206
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0200.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.114
GPT teacher head0.402
Teacher spread0.287 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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