Evidence map›Paper›PMID 36035949›Full record

ArticleFrontiers in cardiovascular medicine2022

Incidence and outcomes of acute high-risk chest pain diseases during pregnancy and puerperium.

Shengyong Wu, Xudong Xu, Qian He, Yingyi Qin, Rui Wang, Jun Chen, Chenxin Chen, Cheng Wu, Suxuan Liu

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Shengyong WuDepartment of Military Health Statistics, Navy Medical University, Shanghai, China.
Xudong XuDepartment of Cardiology, Changhai Hospital, Navy Medical University, Shanghai, China.
Qian HeDepartment of Military Health Statistics, Navy Medical University, Shanghai, China.
Yingyi QinDepartment of Military Health Statistics, Navy Medical University, Shanghai, China.
Rui WangDepartment of Military Health Statistics, Navy Medical University, Shanghai, China.
Jun ChenDepartment of Gynecology and Obstetrics, Changhai Hospital, Navy Medical University, Shanghai, China.
Chenxin ChenDepartment of Military Health Statistics, Navy Medical University, Shanghai, China.
Cheng WuDepartment of Military Health Statistics, Navy Medical University, Shanghai, China.
Suxuan LiuDepartment of Cardiology, Changhai Hospital, Navy Medical University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: To investigate the incidence and outcomes of acute high-risk chest pain diseases, including acute myocardial infarction (AMI), aortic dissection (AD), and pulmonary embolism (PE) during pregnancy and puerperium. Methods: The National Inpatient Sample was queried to identify pregnancy-related hospitalizations from January 1, 2008 to December 31, 2017. Temporal trends in the incidence and mortality of AMI, AD and PE were extracted. Results: Among 41,174,101 hospitalizations, acute high-risk chest pain diseases were diagnosed in 40,285 (0.098%). The incidence increased from 79.92/100,000 in 2008 to 114.79/100,000 in 2017 (P Conclusion: The incidence of acute high-risk chest pain diseases, especially PE in puerperium, increased consistently. Although mortality has shown a downward trend, it is still at a high level. We should strengthen monitoring and management of acute high-risk pain diseases in pregnancy and puerperium, especially for black women, lowest-income households, and elderly parturients in the future.

Indexed as

acute myocardial infarctionaortic dissectionpregnancypuerperiumpulmonary embolism

Identifiers

PMID36035949
PMCPMC9403474

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.