Evidence map›Paper›PMID 32558931›Full record

ArticleEuropean journal of clinical investigation2020

Tracing open data in emergencies: The case of the COVID-19 pandemic.

Konstantinos Gkiouras, Meletios P Nigdelis, Maria G Grammatikopoulou, Dimitrios G Goulis

Open access · bronzeAbstract read
In one paragraph

Article in European journal of clinical investigation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
5.8field-weighted citation impact, top 4% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. The next viral pandemic-where do we stand?Folia microbiologica · 2025
    Review
  3. Article
  4. Analysis of shared research data in Spanish scientific papers about COVID-19: A first approach.Journal of the Association for Information Science and Technology · 2022
    Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Tracing open data in emergencies: The case of the COVID-19 pandemic.European journal of clinical investigation · 2020
    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 at 2 institutions in 1 country.

Konstantinos GkiourasLaboratory of Clinical Pharmacology, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece.ORCID https://orcid.org/0000-0002-6407-8494
Meletios P NigdelisUnit of Reproductive Endocrinology, 1st Department of Obstetrics and Gynecology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece.ORCID https://orcid.org/0000-0003-3865-6833
Maria G GrammatikopoulouFaculty of Health Sciences, International Hellenic University, Thessaloniki, Greece.ORCID https://orcid.org/0000-0003-4167-6595
Dimitrios G GoulisUnit of Reproductive Endocrinology, 1st Department of Obstetrics and Gynecology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece.ORCID https://orcid.org/0000-0002-5005-1995
Aristotle University of Thessaloniki · GRInternational Hellenic University · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe coronavirus disease 2019 (COVID-19) pandemic constitutes an ongoing, burning Public Health Emergency of International Concern (PHEIC). In 2015, the World Health Organization adopted an open data policy recommendation in such situations.

objectivesThe present cross-sectional meta-research study aimed to assess the availability of open data and metrics of articles pertaining to the COVID-19 outbreak in five high-impact journals.

methodsAll articles regarding the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), published in five high-impact journals (Ann Intern Med, BMJ, JAMA, NEJM and Lancet) until March 14, 2020 were retrieved. Metadata (namely the type of article, number of authors, number of patients, citations, errata, news and social media mentions) were extracted for each article in each journal in a systematic way. Google Scholar and Scopus were used for citations and author metrics respectively, and Altmetrics and PlumX were used for news and social media mentions retrieval. The degree of adherence to the PHEIC open data call was also evaluated.

resultsA total of 140 articles were published until March 14, 2020, mostly opinion papers. Sixteen errata followed these publications. The number of authors in each article ranged from 1 to 63, whereas the number of patients with a laboratory-confirmed SARS-CoV-2 infection reached 2645. Extensive hyperauthorship was evident among case studies. The impact of these publications reached a total of 4210 cumulative crude citations and 342 790 news and social media mentions. Only one publication (0.7%) provided complete open data, while 32 (22.9%) included patient data.

conclusionsEven though a large number of manuscripts was produced since the pandemic, availability of open data remains restricted.

Indexed as

Information DisseminationCoronavirus InfectionsCOVID-19Cross-Sectional StudiesData MiningEmergenciesFemaleHumansMalePandemicsPeriodicals as TopicPneumonia, ViralPublicationsResearch DesignSevere Acute Respiratory Syndromealtmetricscoronaviruspublication metricsresearch wasteSARS-CoV-2scientometrics

Identifiers

PMID32558931
PMCPMC7323033
OpenAlexW3035855792

What OpenQuestion holds

Textmetadata
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.