Evidence map›Paper›PMID 34584807›Full record

ArticleCureus2021

High-Dose Corticosteroids for a Pregnant Woman Critically Ill With Coronavirus Disease 2019.

Koichiro Yamamoto, Hideharu Hagiya, Jota Maki, Shuji Okahara, Kou Hasegawa, Fumio Otsuka

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

6 authors at 1 institution in 1 country.

Koichiro YamamotoDepartment of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, JPN.
Hideharu HagiyaDepartment of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, JPN.
Jota MakiDepartment of Obstetrics and Gynecology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, JPN.
Shuji OkaharaDepartment of Anesthesiology and Resuscitology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, JPN.
Kou HasegawaDepartment of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, JPN.
Fumio OtsukaDepartment of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, JPN.
Okayama University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pregnancy was reported to be a risk factor for coronavirus disease 2019 (COVID-19), with an increased risk for premature birth. Corticosteroids and remdesivir are used for patients with COVID-19; however, there is no established treatment for these patients. In particular, the effective management of pregnant, critically ill patients with COVID-19 remains unknown. We describe a 34-year-old, critically ill woman at 30 weeks of gestation with COVID-19, who was successfully treated with remdesivir and combined high-dose betamethasone (12 mg/day for two days) and methylprednisolone (125 mg/day for three days) followed by steroid tapering. During treatment, fetal biophysical profile scores on obstetric ultrasound were normal; her pregnancy course progressed well. Since high-dose corticosteroids improve fetal lung maturation and as well as cytokine storm due to COVID-19, this case provides an insight into the management of pregnant COVID-19 patients.

Indexed as

covid-19cytokine stormpneumoniapregnancysteroids

Identifiers

PMID34584807
PMCPMC8457894
OpenAlexW3193291102

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.