Evidence map›Paper›PMID 37637702›Full record

ArticleWorld journal of clinical cases2023

Critical respiratory failure due to pregnancy complicated by COVID-19 and bacterial coinfection: A case report.

Shuang Zhou, Mei-Hong Liu, Xiao-Peng Deng

Open access · diamondAbstract readCase Reports
In one paragraph

Article in World journal of clinical cases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 82% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Shuang ZhouDepartment of Pulmonary and Critical Care Medicine, First Affiliated Hospital of Dalian Medical University, Dalian 116011, Liaoning Province, China.
Mei-Hong LiuDepartment of Pulmonary and Critical Care Medicine, First Affiliated Hospital of Dalian Medical University, Dalian 116011, Liaoning Province, China.
Xiao-Peng DengDepartment of Gynaecology and Obstetrics, Dalian Women and Children's Medical Group, Dalian 116011, Liaoning Province, China. Xiao1001peng@163.com.
Dalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the past 3 years, the global pandemic of coronavirus disease 2019 (COVID-19) has posed a great threat to human life and safety. Among the causes of death in COVID-19 patients, combined or secondary bacterial infection is an important factor. As a special group, pregnant women experience varying degrees of change in their immune status, cardiopulmonary function, and anatomical structure during pregnancy, which puts them at higher risk of contracting COVID-19. COVID-19 infection during pregnancy is associated with increased adverse events such as hospitalisation, admission to the intensive care unit, and mechanical ventilation. Therefore, pregnancy combined with coinfection of COVID-19 and bacteria often leads to critical respiratory failure, posing severe challenges in the diagnosis and treatment process. CASE SUMMARY: We report a case of COVID-19 complicated with

conclusionThe coinfection of pregnancy with COVID-19 and bacteria often leads to critical respiratory failure, which is a great challenge in the process of diagnosis and treatment. It is crucial to choose the right time to deliver the foetus and to quickly find pathogens by mNGS.

Indexed as

Case reportCombined with staphylococcus aureusCoronavirus disease 2019Critical respiratory failureMetagenomic next-generation sequencingPregnancy

Identifiers

PMID37637702
PMCPMC10450368
OpenAlexW4385822612

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.