Evidence map›Paper›PMID 35233353›Full record

ReviewTzu chi medical journal

Acute kidney injury in COVID-19: Considerations in pregnancy.

Seema Chopra, Arshi Syal, Yajur Arya

Open access · diamondAbstract readReview
In one paragraph

Review in Tzu chi medical journal. 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
1.3field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Risk factors and outcomes of critically ill pregnant COVID-19 patients: Experience from the first and second waves of the pandemic.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2025
    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

3 authors at 2 institutions in 1 country.

Seema ChopraDepartment of Obstetrics and Gynaecology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Arshi SyalInternal Medicine, Government Medical College and Hospital, Chandigarh, India.
Yajur AryaInternal Medicine, Government Medical College and Hospital, Chandigarh, India.
Government Medical College and Hospital · INPost Graduate Institute of Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The clinical manifestations of COVID-19 are diverse with the involvement of different organ systems. Renal involvement is particularly noteworthy with acute kidney injury (AKI) being an important disease manifestation, particularly in pregnancy. Pregnancy itself serves as a high-risk condition for COVID-19 disease and a risk factor for deterioration, developing a more severe illness than nonpregnant women, and subsequent higher intensive care unit admission, oxygen therapy, and ventilatory support. There are reports in the literature highlighting the involvement of vital organs in pregnancy; however, data pertaining to AKI in pregnancy during COVID-19 are lacking in terms of risk factors, disease management, and outcomes. The entire spectrum of hormonal changes and adaptive mechanisms in pregnancy can be adversely affected by this viral infection. A literature search regarding AKI in COVID-19 in pregnancy was performed on PubMed, Scopus, Google Scholar, and ScienceDirect, and the relevant articles were selected. Our review highlights key issues pertaining to AKI in COVID-19 in pregnancy in an attempt to overcome, albeit partly, the scarcity of corroborative literature regarding the same.

Indexed as

Acute kidney injuryCoronavirusCOVID-19PregnancyRenal disease

Identifiers

PMID35233353
PMCPMC8830551
OpenAlexW3161053991

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.