Evidence map›Paper›PMID 31211023›Full record

ArticlePeerJ2019

Emerging trends and knowledge structure of epilepsy during pregnancy research for 2000-2018: a bibliometric analysis.

Minglu Wang, Weitao Li, Yuying Tao, Limei Zhao

Abstract read
In one paragraph

Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Perampanel and pregnancy.Epilepsia · 2021
    Article
  4. Bibliometric analysis of publications on pediatric epilepsy between 1980 and 2018.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2021
    Article
  5. Article
  6. Article
  7. Article
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

4 authors.

Minglu WangDepartment of Pharmacy, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, China.
Weitao LiDepartment of Pharmacy, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, China.
Yuying TaoDepartment of Pharmacy, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, China.
Limei ZhaoDepartment of Pharmacy, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpilepsy during pregnancy presents a unique set of challenges for pregnant women, the fetus, and the health care community. As research in this area advances rapidly, it is critical to keep up with the emerging trends and key turning points of the development of the domain knowledge. This study aimed to construct a series of science maps to quantitatively and qualitatively evaluate the intellectual landscape and research frontiers in the field of epilepsy during pregnancy research.

methodsAll publications were extracted from the Web of Science Core Collection database. Bibliometric analysis was used to analyze the scientific research outputs, including journals, countries/regions, institutions, authors (cited authors), intellectual base and research hotspots.

resultsA total of 2,225 publications related to epilepsy during pregnancy were identified as published between 2000 and 2018. The overall trend of the number of publications showed a fluctuating growth from 59 articles in 2000 to 198 in 2018.

conclusionsEpilepsy during pregnancy is a fascinating and rapid development of subject matter. A more recent emerging trend focused on comprehensive management of pregnant and lactating women, evaluation of the safety and efficacy of newer antiepileptic drugs. The keywords "management issue," "brain injury," "meta-analysis," "in utero exposure," and "ASD" were the latest research frontiers and should be closely observed.

Indexed as

Antiepileptic drugsCiteSpaceEpilepsyPregnancyScientometricsVisualization

Identifiers

PMID31211023
PMCPMC6557303

What OpenQuestion holds

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Registered trials

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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.