Evidence map›Paper›PMID 35154545›Full record

ArticleArchives of medical science : AMS2022

COVID-19 research: quality of biostatistics.

Michal Ordak

Open access · goldAbstract read
In one paragraph

Article in Archives of medical science : AMS, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

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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

1 author at 1 institution in 1 country.

Michal OrdakDepartment of Pharmacodynamics, Centre for Preclinical Research and Technology (CePT), Medical University of Warsaw, Warsaw, Poland.
Medical University of Warsaw · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn recent years, unfortunately, low quality of statistical analyses in medicine has been observed. As it turns out, this also applies to COVID-19 subject matter.

methodsThe study included 2600 medical articles published between the beginning of 2020 and June 2021, in which the authors described the obtained results, i.e. related to COVID-19.

resultsOf the analysed articles, 39% were correct in terms of the statistical analysis performed.

conclusionsThere should be more emphasis on conducting statistical reviews in authors' contributions on various aspects of COVID-19.

Indexed as

biostatisticsCOVID-19

Identifiers

PMID35154545
PMCPMC8826691
OpenAlexW4210464335

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.