Evidence map›Paper›PMID 35916014›Full record

ArticleObstetrics & gynecology science2022

COVID-19 and vaccination during pregnancy: a systematic analysis using Korea National Health Insurance claims data.

Ki Hoon Ahn, Hae-In Kim, Kwang-Sig Lee, Ju Sun Heo, Ho-Yeon Kim, Geum-Joon Cho, Soon-Cheol Hong, Min-Jeong Oh, Hae-Joong Kim

Open access · diamondAbstract read
In one paragraph

Article in Obstetrics & gynecology science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
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  11. Pregnancy and COVID-19: past, present and future.Obstetrics & gynecology science · 2023
    Article
  12. Review
  13. Observational
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

9 authors at 2 institutions in 1 country.

Ki Hoon AhnDepartment of Obstetrics and Gynecology, Korea University College of Medicine, Seoul, Korea.
Hae-In KimDepartment of Obstetrics and Gynecology, Korea University College of Medicine, Seoul, Korea.
Kwang-Sig LeeAI Center, Korea University Anam Hospital, Seoul, Korea.
Ju Sun HeoDepartment of Pediatrics, Korea University College of Medicine, Seoul, Korea.
Ho-Yeon KimDepartment of Obstetrics and Gynecology, Korea University College of Medicine, Seoul, Korea.
Geum-Joon ChoDepartment of Obstetrics and Gynecology, Korea University College of Medicine, Seoul, Korea.
Soon-Cheol HongDepartment of Obstetrics and Gynecology, Korea University College of Medicine, Seoul, Korea.
Min-Jeong OhDepartment of Obstetrics and Gynecology, Korea University College of Medicine, Seoul, Korea.
Hae-Joong KimDepartment of Obstetrics and Gynecology, Korea University College of Medicine, Seoul, Korea.
Korea University · KRKorea University Medical Center · KR

Funding

Korean Society of Obstetrics and Gynecology
6 · The paper itself

Abstract

objectiveThis study systematically analyzed coronavirus disease 2019 (COVID-19) and vaccination details during pregnancy by using the national health insurance claims data.

methodsPopulation-based retrospective cohort data of 12,399,065 women aged 15-49 years were obtained from the Korea National Health Insurance Service claims database between 2019 and 2021. Univariate analysis was performed to compare the obstetric outcomes of pregnant women (ICD-10 O00-O94) and their newborns (ICD-10 P00-P96) with and without COVID-19. Univariate analysis was also performed to compare the age and obstetric outcomes of pregnant women receiving different types of vaccines.

resultsThe percentage of pregnant women with COVID-19 during pregnancy was 0.11%. Some obstetric outcomes of pregnant women with COVID-19, including the rates of preterm birth or cesarean delivery, were significantly better than those of pregnant women without COVID-19. The rate of miscarriage was higher in pregnant women with COVID-19 than without COVID-19. However, the outcomes of newborns of women with and without COVID-19 were not significantly different. Regarding vaccination type, obstetric outcomes of pregnant women appeared to be worse with the viral vector vaccine than with the mRNA vaccine.

conclusionTo the best of our knowledge, this is the first study to systematically analyze COVID-19 and vaccination details during pregnancy using the national health insurance claims data in Korea. The obstetric outcomes in pregnant women with and without COVID-19 and their newborns were similar.

Indexed as

COVID-19Infant, newbornPregnancyPregnancy outcomeVaccination

Identifiers

PMID35916014
PMCPMC9683933
OpenAlexW4289519582

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.