Evidence map›Paper›PMID 40041183›Full record

ArticleFrontiers in public health2025

Worldwide research trends of pregnancy hypertension in epigenetics field.

Didi Yuan, Yangqing Huang, Hanqi Liu, Haotian Tang, Junwen Liu

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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

5 authors.

Didi YuanDepartment of Histology and Embryology, Xiangya School of Medicine, Central South University, Changsha, Hunan, China.
Yangqing HuangDepartment of Histology and Embryology, Xiangya School of Medicine, Central South University, Changsha, Hunan, China.
Hanqi LiuDepartment of Histology and Embryology, Xiangya School of Medicine, Central South University, Changsha, Hunan, China.
Haotian TangDepartment of Histology and Embryology, Xiangya School of Medicine, Central South University, Changsha, Hunan, China.
Junwen LiuDepartment of Histology and Embryology, Xiangya School of Medicine, Central South University, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Hypertension in pregnancy (HIP) poses significant health risks for both mothers and infants. Development of HIP is influenced by genetic and environmental factors, with epigenetic modifications partially explaining underlying mechanisms. Bibliometric tools aid researchers in quickly gaining insights into field dynamics and trends. Methods: In this investigation, we conducted a search for relevant publications in the Web of Science Core Collection database using specific keywords. We employed Citespace and WOSviewer software for analysis of interconnections and co-occurrence of information across publications, countries, authors, institutions, keywords and cited literature. Ultimately, we identified 4,316 research papers on hypertension in pregnancy within the epigenetics domain (HIPE). Results: Our analysis revealed that China had the highest number of publications ( Discussion: Our bibliometric-based study provides novel insights into current research progress on HIP from an epigenetic perspective, serving as a source of new ideas and inspiration for future investigations of HIP diseases.

Indexed as

BibliometricsBiomedical ResearchEpigenesis, GeneticEpigenomicsHypertension, Pregnancy-InducedFemaleHumansPre-EclampsiaPregnancyCitespaceepigenetichypertension in pregnancy (HIP)preeclampsia (PE)VOSviewer

Identifiers

PMID40041183
PMCPMC11876557

What OpenQuestion holds

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LicenceCC BY
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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.