Evidence map›Paper›PMID 37520486›Full record

ArticleJournal of medicine and life2023

Clinical and laboratory characteristics of COVID-19 in pregnant women.

Oleksandra Yaroslavivna Pryshliak, Oleksandra Vasulivna Marynchak, Oksana Yevgenivna Kondryn, Ihor Hnatovych Hryzhak, Natalia Ivanivna Henyk, Oksana Mykhailivna Makarchuk, Igor Stepanovych Golovchak, Oleksandr Petrovych Boichuk, Andriy Liubomyrovych Protsyk, Mykola Valeriiovych Prokofiev

Open access · diamondAbstract read
In one paragraph

Article in Journal of medicine and life, 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
2.1field-weighted citation impact, top 13% 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, 7 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

10 authors at 2 institutions in 1 country.

Oleksandra Yaroslavivna PryshliakDepartment of Infectious Diseases and Epidemiology, Ivano-Frankivsk National Medical University, Ivano-Frankivsk, Ukraine.
Oleksandra Vasulivna MarynchakDepartment of Infectious Diseases and Epidemiology, Ivano-Frankivsk National Medical University, Ivano-Frankivsk, Ukraine.
Oksana Yevgenivna KondrynDepartment of Infectious Diseases and Epidemiology, Ivano-Frankivsk National Medical University, Ivano-Frankivsk, Ukraine.
Ihor Hnatovych HryzhakDepartment of Infectious Diseases and Epidemiology, Ivano-Frankivsk National Medical University, Ivano-Frankivsk, Ukraine.
Natalia Ivanivna HenykDepartment of Obstetrics and Gynecology named after I.D. Lanovyi Ivano-Frankivsk, National Medical University, Ivano-Frankivsk, Ukraine.
Oksana Mykhailivna MakarchukDepartment of Obstetrics and Gynecology named after I.D. Lanovyi Ivano-Frankivsk, National Medical University, Ivano-Frankivsk, Ukraine.
Igor Stepanovych GolovchakPrecarpathian Center for Human Reproduction, Ministry of Health, Ivano-Frankivsk, Ukraine.
Oleksandr Petrovych BoichukDepartment of Infectious Diseases and Epidemiology, Ivano-Frankivsk National Medical University, Ivano-Frankivsk, Ukraine.
Andriy Liubomyrovych ProtsykDepartment of Infectious Diseases and Epidemiology, Ivano-Frankivsk National Medical University, Ivano-Frankivsk, Ukraine.
Mykola Valeriiovych ProkofievDepartment of Infectious Diseases and Epidemiology, Ivano-Frankivsk National Medical University, Ivano-Frankivsk, Ukraine.
Ivano-Frankivsk National Medical University · UAVasyl Stefanyk Carpathian National University · UA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article discusses the distinct characteristics of COVID-19 in pregnant women and investigates potential early predictors of disease severity in this specific patient population. The study included 116 pregnant women with a confirmed diagnosis of COVID-19 in different trimesters of pregnancy. In addition to clinical features, we evaluated general clinical research methods, biochemical parameters (procalcitonin, C-reactive protein, D-dimer), and the leukocyte index of endogenous intoxication and lymphocytic index to identify potential early predictors of disease severity. All pregnant women were divided into two study groups: Group I - pregnant women with mild course, and Group II - pregnant women with moderate and severe course of COVID-19. Most pregnant women (72.4%) experienced a non-severe course characterized by catarrhal symptoms and moderate intoxication. However, pulmonary manifestations and pregnancy-related complications were detected in pregnant women from Group 2. The levels of C-reactive protein and procalcitonin in both study groups were significantly increased compared to the control group. In pregnant women with moderate and severe COVID-19, indicators of endogenous intoxication were significantly pronounced. Establishing associations between leukocyte indices and biomarkers, such as procalcitonin and C-reactive protein, enables the utilization of routine complete blood counts as a primary screening tool for predicting the severity of COVID-19 in pregnant women.

Indexed as

COVID-19Pregnancy Complications, InfectiousC-Reactive ProteinFemaleHumansPregnancyPregnant PeopleProcalcitoninSARS-CoV-2C-Reactive ProteinProcalcitoninCOVID-19disease severity predictionleukocyte indexlymphocytic indexpregnancy

Identifiers

PMID37520486
PMCPMC10375343
OpenAlexW4385406121

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.