Evidence map›Paper›PMID 37324374›Full record

ArticleJournal of obstetrics and gynaecology of India2023

Impact of COVID-19 Pandemic on Non-COVID-19 Maternal Mortalities in a Tertiary Health Care Center of North India.

Amrita Chaurasia, Divya Gupta, Kumari Shweta, Yashi Srivastava

Abstract read
In one paragraph

Article in Journal of obstetrics and gynaecology of India, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Amrita ChaurasiaPrayagraj, India Department of Obstetrics and Gynaecology, Motilal Nehru Medical College Prayagraj, King George Medical University.
Divya GuptaPrayagraj, India Department of Obstetrics and Gynaecology, Motilal Nehru Medical College Prayagraj, King George Medical University.
Kumari ShwetaPrayagraj, India Department of Obstetrics and Gynaecology, Motilal Nehru Medical College Prayagraj, King George Medical University.
Yashi SrivastavaPrayagraj, India Department of Obstetrics and Gynaecology, Motilal Nehru Medical College Prayagraj, King George Medical University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: While dealing with the COVID-19-related morbidities and mortalities in general, its adverse impact on non-COVID-19 maternal mortalities was completely forgotten so our aim is Methodology: Retrospective observational study was done in the Department of Obstetrics and Gynecology, Swaroop Rani Hospital, Prayagraj, to compare the non-COVID-19 hospital births, referrals, and non-COVID-19 maternal mortalities during 15 months of pre-pandemic period (March 2018 to May 2019) and 15 months of pandemic period (March 2020 to May 2021 period) and to assess their relation to GRSI using chi-square test, paired Result: The total non-COVID-19 hospital births decreased by 4.32% in pandemic period as compared to pre-pandemic period. Monthly hospital births decreased drastically, to 32.7% during the end of the first pandemic wave and to 60.17% during the second wave. 67% increase in the total referral and a significant decrease in the quality of referral leading to significantly higher non-COVID-19 maternal mortality figures ( Conclusion: While the world is talking only about COVID deaths, increased non-COVID-19 maternal mortalities during the COVID pandemic need equal attention and call for more stringent government guidelines for the care of non-COVID-19 pregnant women as well during the pandemic period.

Indexed as

GRSI scoreNon-COVID-19 hospital birthsNon-COVID-19 maternal mortalitiesReferral

Identifiers

PMID37324374
PMCPMC9982168

What OpenQuestion holds

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Registered trials

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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.