Evidence map›Paper›PMID 36585128›Full record

ArticleBMJ open2022

Risk factors for severe disease and impact of severity on pregnant women with COVID-19: a case-control study based on data from a nationwide survey of maternity services in Japan.

Tatsuya Arakaki, Junichi Hasegawa, Akihiko Sekizawa, Tomoaki Ikeda, Isamu Ishiwata, Katsuyuki Kinoshita, department of medical safety, the Japan Association of Obstetricians and Gynecologists (JAOG)

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Impact of Omicron BA.5 infection on maternal and neonatal outcomes.Frontiers in cellular and infection microbiology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. 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

7 authors at 4 institutions in 1 country.

Tatsuya ArakakiDepartment of Obstetrics and Gynecology, Showa University School of Medicine, Tokyo, Japan arakakit@gmail.com.ORCID 0000-0001-5113-0110
Junichi HasegawaDepartment of Obstetrics and Gynecology, St. Marianna University School of Medicine, Kanagawa, Japan.ORCID 0000-0002-5789-1022
Akihiko SekizawaDepartment of Obstetrics and Gynecology, Showa University School of Medicine, Tokyo, Japan.ORCID 0000-0003-2249-1333
Tomoaki IkedaDepartment of Obstetrics and Gynecology, Mie University School of Medicine, Mie, Japan.ORCID 0000-0003-1489-4810
Isamu IshiwataIshiwata Obstetrics and Gynecology Hospital, Ibaraki, Japan.
Katsuyuki KinoshitaSeijyo Kinoshita Hospital, Tokyo, Japan.
department of medical safety, the Japan Association of Obstetricians and Gynecologists (JAOG)
Showa University · JPIwata City Hospital · JPMie University · JPSt. Marianna University School of Medicine · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify independent risk factors for severe COVID-19 in pregnant women and to evaluate the impact of disease severity on preterm birth.

designA case-control study based on data from a nationwide questionnaire-based survey of maternity services in Japan.

settingA questionnaire was mailed to all 2135 delivery institutions in Japan between July and August 2021. A total of 1288 institutions responded (60% of all delivery institutions in Japan). 566 facilities reported having cared for pregnant women with COVID-19, and 722 facilities reported having had no such patients.

participantsOne thousand and forty-three hospitalised and non-hospitalised pregnant women diagnosed with COVID-19 between July 2020 and 30 June 2021. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was progression to severe COVID-19. The secondary outcome was preterm birth due to COVID-19 infection.

results56 cases (5.4%) were severe, and 987 (94.6%) were non-severe. Multivariable logistic regression analysis showed that gestational age≥24 weeks (adjusted OR (aOR) 6.68, 95% CI 2.8 to 16.0) and maternal age≥32 years (aOR 2.40, 95% CI 1.3 to 4.3) were independently associated with severe cases. Using the Kaplan-Meier method, the probability of continued pregnancy at 14 days after diagnosis for severe cases was 0.57 between 24 and 31 weeks' gestation and 0.27 between 32 and 36 weeks' gestation. The probability for non-severe cases was 1.0 between 24 and 31 weeks' gestation and 0.8 between 32 and 36 weeks' gestation. Among the patients with COVID-19 in the preterm period, preterm birth due to infection was significantly more common in severe than non-severe cases (48% vs 6%, p< 0.0001).

conclusionsSevere COVID-19 in pregnant women was associated with gestational age≥24 weeks and maternal age≥32. The rate of preterm delivery due to the infection was significantly higher in severe COVID-19 cases.

Indexed as

COVID-19Premature BirthAdultCase-Control StudiesFemaleHumansInfantInfant, NewbornJapanPregnancyPregnancy OutcomePregnant PeopleRisk FactorsSurveys and QuestionnairesCOVID-19Maternal medicineOBSTETRICS

Identifiers

PMID36585128
PMCPMC9808759
OpenAlexW4313304234

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.