Evidence map›Paper›PMID 34501892›Full record

Observational studyInternational journal of environmental research and public health2021

Multiplicity Eludes Peer Review: The Case of COVID-19 Research.

Oliver Gutiérrez-Hernández, Luis Ventura García

Abstract readObservational Study
In one paragraph

Observational study in International journal of environmental research and public health, 2021. 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
–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

3 citing papers in PubMed.

  1. Trial
  2. Review
  3. Interactions between climate and COVID-19.The Lancet. Planetary health · 2022
    Review
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

2 authors.

Oliver Gutiérrez-HernándezDepartment of Geography, University of Málaga, 29010 Málaga, Spain.ORCID 0000-0003-2580-5465
Luis Ventura GarcíaInstitute of Natural Resources and Agrobiology of Seville (IRNAS), Spanish National Research Council (CSIC), 41012 Seville, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiplicity arises when data analysis involves multiple simultaneous inferences, increasing the chance of spurious findings. It is a widespread problem frequently ignored by researchers. In this paper, we perform an exploratory analysis of the Web of Science database for COVID-19 observational studies. We examined 100 top-cited COVID-19 peer-reviewed articles based on

Indexed as

COVID-19HumansPeer ReviewProbabilitySARS-CoV-2environmental researchepidemiologyfalse discovery rate (FDR)health geographymultiple hypotheses testingmultiple testing problemSARS-CoV-2

Identifiers

PMID34501892
PMCPMC8430657

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.