Evidence map›Paper›PMID 35085741›Full record

ArticleMethods (San Diego, Calif.)2022

Data-driven case fatality rate estimation for the primary lineage of SARS-CoV-2 in Poland.

Krzysztof Gogolewski, Błażej Miasojedow, Małgorzata Sadkowska-Todys, Małgorzata Stepień, Urszula Demkow, Agnieszka Lech, Ewa Szczurek, Daniel Rabczenko, Magdalena Rosińska, Anna Gambin

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In one paragraph

Article in Methods (San Diego, Calif.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Observational
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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.

Krzysztof GogolewskiFaculty of Mathematics, Informatics and Mechanics, University of Warsaw, Warsaw, Poland.
Błażej MiasojedowFaculty of Mathematics, Informatics and Mechanics, University of Warsaw, Warsaw, Poland.
Małgorzata Sadkowska-TodysDepartment of Infectious Disease Epidemiology and Surveillance, National Institute of Public Health NIH - National Research Institute, Warsaw, Poland.
Małgorzata StepieńDepartment of Infectious Disease Epidemiology and Surveillance, National Institute of Public Health NIH - National Research Institute, Warsaw, Poland.
Urszula DemkowDepartment of Laboratory Diagnostics and Clinical Immunology of Developmental Age, Medical University of Warsaw, Warsaw, Poland.
Agnieszka LechDepartment of Medical Microbiology, Medical University of Warsaw, Warsaw, Poland.
Ewa SzczurekFaculty of Mathematics, Informatics and Mechanics, University of Warsaw, Warsaw, Poland.
Daniel RabczenkoDepartment for Monitoring and Analysis of Population Health Status, National Institute of Public Health NIH - National Research Institute, Warsaw, Poland.
Magdalena RosińskaDepartment of Infectious Disease Epidemiology and Surveillance, National Institute of Public Health NIH - National Research Institute, Warsaw, Poland.
Anna GambinFaculty of Mathematics, Informatics and Mechanics, University of Warsaw, Warsaw, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

After more than one and a half year since the COVID-19 pandemics outbreak the scientific world is constantly trying to understand its dynamics. In this paper of the case fatality rates (CFR) for COVID-19 we study the historic data regarding mortality in Poland during the first six months of pandemic, when no SARS-CoV-2 variants of concern were present among infected. To this end, we apply competing risk models to perform both uni- and multivariate analyses on specific subpopulations selected by different factors including the key indicators: age, sex, hospitalization. The study explores the case fatality rate to find out its decreasing trend in time. Furthermore, we describe the differences in mortality among hospitalized and other cases indicating a sudden increase of mortality among hospitalized cases at the end of the 2020 spring season. Exploratory and multivariate analysis revealed the real impact of each variable and besides the expected factors indicating increased mortality (age, comorbidities) we track more non-obvious indicators. Recent medical care as well as the identification of the source contact, independently of the comorbidities, significantly impact an individual mortality risk. As a result, the study provides a twofold insight into the COVID-19 mortality in Poland. On one hand we explore mortality in different groups with respect to different variables, on the other we indicate novel factors that may be crucial in reducing mortality. The later can be coped, e.g. by more efficient contact tracing and proper organization and management of the health care system to accompany those who need medical care independently of comorbidities or COVID-19 infection.

Indexed as

COVID-19SARS-CoV-2Contact TracingHumansPandemicsPolandCase fatality rateCOVID-19Mortality in PolandOriginal SARS-CoV-2 lineage

Identifiers

PMID35085741
PMCPMC8785264

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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.