Evidence map›Paper›PMID 36116082›Full record

ArticleArchives of gynecology and obstetrics2023

Combined analysis of clinical features, human chorionic gonadotropin (hCG) value, and hCG ratios for early prediction of postmolar gestational trophoblastic neoplasia.

Chanya Rakprasit, Irene Ruengkhachorn, Suwanit Therasakvichya, Perapong Inthasorn, Vuthinun Achariyapota, Sompop Kuljarasnont, Khemanat Khemworapong, Nida Jareemit

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In one paragraph

Article in Archives of gynecology and obstetrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 21% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Chanya RakprasitDepartment of Obstetrics and Gynaecology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Irene RuengkhachornDivision of Gynaecologic Oncology, Department of Obstetrics and Gynaecology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Suwanit TherasakvichyaDivision of Gynaecologic Oncology, Department of Obstetrics and Gynaecology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Perapong InthasornDivision of Gynaecologic Oncology, Department of Obstetrics and Gynaecology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Vuthinun AchariyapotaDivision of Gynaecologic Oncology, Department of Obstetrics and Gynaecology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Sompop KuljarasnontDivision of Gynaecologic Oncology, Department of Obstetrics and Gynaecology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Khemanat KhemworapongDivision of Gynaecologic Oncology, Department of Obstetrics and Gynaecology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Nida JareemitDivision of Gynaecologic Oncology, Department of Obstetrics and Gynaecology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand. nida.jareemit@gmail.com.ORCID http://orcid.org/0000-0003-1913-6613
Siriraj Hospital · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate factors predicting postmolar gestational trophoblastic neoplasia (GTN) by combined analysis of clinical features, human chorionic gonadotropin (hCG) value, and hCG ratios.

methodsThis retrospective study enrolled patients with histopathologically proven molar pregnancy. Patients lost to follow-up before remission or developing postmolar GTN were excluded. Demographic and clinical characteristics and hCG data obtained before and after molar evacuation were collected. Area under the receiver operating characteristic curve (AUC) analysis was used to identify the hCG and hCG ratio cutoff values that predict postmolar GTN. Multivariate analysis was employed to identify independent predictors of GTN.

resultsThere were 113 complete moles, 11 partial moles, and 52 unspecified moles included in the final analysis. Of the 176 cases, 90 achieved remission and 86 developed post-molar GTN. The incidence of postmolar GTN was 48.9%, with a median time to GTN development of 5 weeks. Univariate analysis showed age, molar evacuation performed elsewhere, pre-evacuation hCG, hCG at 2nd week post-evacuation, and ratio of hCG at 2nd week post-evacuation to post-evacuation hCG significantly predict GTN. Multivariate analysis revealed an hCG value ≥ 1400 IU/L at 2nd week post-evacuation (AUC: 0.92, aOR: 6.51, 95% CI 1.28-33.16; p = 0.024) and a ratio of hCG at 2nd week post-evacuation to post-evacuation hCG of ≥ 0.02 (AUC: 0.88, aOR: 12.27, 95% CI 2.15-70.13; p = 0.005) to independently predict GTN.

conclusionsAn hCG value ≥ 1400 IU/L at 2nd week post-evacuation and a ratio of hCG at 2nd week post-evacuation to post-evacuation hCG of ≥ 0.02 independently and reliably predict postmolar GTN.

Indexed as

Chorionic GonadotropinHydatidiform Mole, InvasiveAdultFemaleHumansHydatidiform MolePregnancyRetrospective StudiesThailandChorionic GonadotropinGestational trophoblastic diseaseHigh riskHydatidiform moleMolar pregnancyPredict

Identifiers

PMID36116082
OpenAlexW4296229373

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.