Evidence map›Paper›PMID 38683393›Full record

ArticleArchives of gynecology and obstetrics2024

The relationship between serum levels of epidermal growth factor and β-human chorionic gonadotropin and the type and prognosis of ectopic pregnancy.

Dandan Geng, Manfang Liu, Dongyan Wu, Benming Yue

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Article in Archives of gynecology and obstetrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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

4 authors.

Dandan GengDepartment of Gynecology, Affiliated Hospital of Chengdu University of Traditional Chinese Medicine, No 39, 12 Qiao Road, Jinniu District, Chengdu, 610075, Sichuan, China. myself1260@163.com.
Manfang LiuDepartment of Traditional Chinese Medicine, The Forth Hospital of Shijiazhuang, Shijiazhuang, 050000, China.
Dongyan WuDepartment of Gynecology, The Forth Hospital of Shijiazhuang, Shijiazhuang, 050000, China.
Benming YueDepartment of Gynecology, The Forth Hospital of Shijiazhuang, Shijiazhuang, 050000, China.

Funding

Hebei Traditional Chinese Medicine Administration fund project 2022189
6 · The paper itself

Abstract

purposeThis work aimed to explore the relationship between epidermal growth factor (EGF) and β-human chorionic gonadotropin (β-HCG) and ectopic pregnancy types and impact on prognosis.

methodsTwenty women with normal pregnancies (NPs) were recruited as control group, and twenty women each with tubal pregnancy (TP) and cervical pregnancy (CP) were recruited. Blood samples were collected to detect EGF and β-HCG. Data on length of hospital stay and incidence of complications were collected. The differences in serum EGF and β-HCG levels were compared among groups and within various types of ectopic pregnancy using analysis of variance and Pearson correlation analysis.

resultsSerum EGF and β-HCG were notably lower in TP and CP group vs. controls (P < 0.05). In subgroup analysis within the types of ectopic pregnancy, serum EGF levels were drastically higher in TP group vs. CP group (P < 0.05). Serum EGF levels were negatively correlated with pregnancy outcomes and incidence of complications (P < 0.05). In patients with TP and CP, serum EGF and β-HCG recovery time and hospital stay differed drastically (P < 0.05). Serum EGF and β-HCG levels showed optimal cutoff values identified at 2.65 μg/L and 11,745.35 IU/L, respectively. The corresponding area under the curve (AUC) values were 0.885 and 0.841.

conclusionElevated levels of EGF may be associated with the occurrence of ectopic pregnancy and may impact the type of ectopic pregnancy, pregnancy outcomes, and the incidence of complications. Further clinical research is warranted to investigate these findings.

Indexed as

Chorionic Gonadotropin, beta Subunit, HumanEpidermal Growth FactorPregnancy, EctopicAdultCase-Control StudiesFemaleHumansLength of StayPregnancyPregnancy OutcomePregnancy, TubalPrognosisChorionic Gonadotropin, beta Subunit, HumanEpidermal Growth FactorEctopic pregnancyEpidermal growth factorPrognosisβ-Human chorionic gonadotropin

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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.