Evidence map›Paper›PMID 33559265›Full record

ReviewPathology international2021

Maternal death analysis based on data from the nationwide registration system in Japan (2010-2018).

Tomoko Wakasa, Hatsue Ishibashi-Ueda, Makoto Takeuchi

Open access · hybridAbstract readReview
In one paragraph

Review in Pathology international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
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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

3 authors at 3 institutions in 1 country.

Tomoko WakasaDepartment of Diagnostic Pathology, Nara Hospital, Kindai University, Nara, Japan.ORCID http://orcid.org/0000-0002-3328-5677
Hatsue Ishibashi-UedaDepartment of Pathology, National Cerebral and Cardiovascular Center, Osaka, Japan.
Makoto TakeuchiDepartment of Pathology, Osaka Women's and Children's Hospital, Osaka, Japan.
Nara City Hospital · JPNational Cerebral and Cardiovascular Center · JPOsaka Women's and Children's Hospital · JP

Funding

Ministry of Health, Labour and Welfare 24090101, H30-healthcare-general-014
6 · The paper itself

Abstract

The maternal mortality rate in Japan was 3.5 per 100 000 live births in 2017, similar to that reported in other developed countries. To reduce the number of maternal deaths, a Japanese nationwide registration and analysis system was implemented in 2010. Between January 2010 and April 2018, 367 maternal deaths were reported. Among them, by reviewing 80 autopsy records, the direct obstetric causes of death were identified in 52 women. The major causes of deaths were amniotic fluid embolism and acute pulmonary thromboembolism. The other 26 maternal deaths were associated with indirect obstetric causes including invasive Group A Streptococcus infection, aortic dissection, cerebral stroke and cardiomyopathies. This review highlights the importance of autopsy in maternal deaths. On analyzing 42 autopsy specimens obtained from registered cases of maternal death during 2012-2015, the 36% of causes of death by autopsy were discordant with the clinical diagnosis. Moreover, of the 38% of non-autopsied maternal death, the cause of death could not be clarified from the clinical chart. We emphasized that detailed autopsies are necessary to clarify the precise pathologic evidence related to pregnancy and delivery, especially causes of unexpected death such as amniotic fluid embolism.

Indexed as

Maternal MortalityAdultAutopsyCardiomyopathiesEmbolism, Amniotic FluidFemaleHumansJapanMaternal DeathPregnancyamniotic fluid embolismautopsymaternal deathnationwide registrationpregnancy

Identifiers

PMID33559265
PMCPMC8248185
OpenAlexW3128404885

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.