Evidence map›Paper›PMID 33132155›Full record

ArticleContemporary clinical trials2020

Infectious diseases epidemiology, quantitative methodology, and clinical research in the midst of the COVID-19 pandemic: Perspective from a European country.

Geert Molenberghs, Marc Buyse, Steven Abrams, Niel Hens, Philippe Beutels, Christel Faes, Geert Verbeke, Pierre Van Damme, Herman Goossens, Thomas Neyens and 9 more

Abstract read
In one paragraph

Article in Contemporary clinical trials, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Guest editors-in-chief note to COVID-19 special issue.Contemporary clinical trials · 2021
    Article
  11. 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

19 authors.

Geert MolenberghsInteruniversity Institute for Biostatistics and statistical Bioinformatics, Data Science Institute, Hasselt University, Belgium; Interuniversity Institute for Biostatistics and statistical Bioinformatics, KU Leuven, Belgium.
Marc BuyseInteruniversity Institute for Biostatistics and statistical Bioinformatics, Data Science Institute, Hasselt University, Belgium; International Drug Development Institute, Belgium; CluePoints, Belgium. Electronic address: marc.buyse@iddi.com.
Steven AbramsInteruniversity Institute for Biostatistics and statistical Bioinformatics, Data Science Institute, Hasselt University, Belgium; Global Health Institute, Department of Epidemiology and Social Medicine, University of Antwerp, Belgium.
Niel HensInteruniversity Institute for Biostatistics and statistical Bioinformatics, Data Science Institute, Hasselt University, Belgium; Centre for Health Economics Research and Modelling of Infectious Diseases, University of Antwerp, Belgium; Vaccine & Infectious Disease Institute, University of Antwerp, Belgium.
Philippe BeutelsCentre for Health Economics Research and Modelling of Infectious Diseases, University of Antwerp, Belgium; Vaccine & Infectious Disease Institute, University of Antwerp, Belgium.
Christel FaesInteruniversity Institute for Biostatistics and statistical Bioinformatics, Data Science Institute, Hasselt University, Belgium.
Geert VerbekeInteruniversity Institute for Biostatistics and statistical Bioinformatics, Data Science Institute, Hasselt University, Belgium; Interuniversity Institute for Biostatistics and statistical Bioinformatics, KU Leuven, Belgium.
Pierre Van DammeCentre for Health Economics Research and Modelling of Infectious Diseases, University of Antwerp, Belgium; Vaccine & Infectious Disease Institute, University of Antwerp, Belgium.
Herman GoossensMedical Microbiology, University of Antwerp, Belgium.
Thomas NeyensInteruniversity Institute for Biostatistics and statistical Bioinformatics, Data Science Institute, Hasselt University, Belgium; Interuniversity Institute for Biostatistics and statistical Bioinformatics, KU Leuven, Belgium.
Sereina HerzogCentre for Health Economics Research and Modelling of Infectious Diseases, University of Antwerp, Belgium; Vaccine & Infectious Disease Institute, University of Antwerp, Belgium.
Heidi TheetenCentre for Health Economics Research and Modelling of Infectious Diseases, University of Antwerp, Belgium; Vaccine & Infectious Disease Institute, University of Antwerp, Belgium.
Koen PepermansCentre for Health Economics Research and Modelling of Infectious Diseases, University of Antwerp, Belgium; Vaccine & Infectious Disease Institute, University of Antwerp, Belgium.
Ariel Alonso AbadInteruniversity Institute for Biostatistics and statistical Bioinformatics, KU Leuven, Belgium.
Ingrid Van KeilegomORSTAT, Faculty of Economy and Business, KU Leuven, Belgium.
Niko SpeybroeckInstitute of Health and Society, UC Louvain, Belgium.
Catherine LegrandInstitute of Statistics, Biostatistics and Actuarial Sciences, UC Louvain, Belgium.
Stefanie De BuyserUniversity of Ghent, Belgium.
Frank HulstaertBelgian Health Care Knowledge Center (KCE), Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Starting from historic reflections, the current SARS-CoV-2 induced COVID-19 pandemic is examined from various perspectives, in terms of what it implies for the implementation of non-pharmaceutical interventions, the modeling and monitoring of the epidemic, the development of early-warning systems, the study of mortality, prevalence estimation, diagnostic and serological testing, vaccine development, and ultimately clinical trials. Emphasis is placed on how the pandemic had led to unprecedented speed in methodological and clinical development, the pitfalls thereof, but also the opportunities that it engenders for national and international collaboration, and how it has simplified and sped up procedures. We also study the impact of the pandemic on clinical trials in other indications. We note that it has placed biostatistics, epidemiology, virology, infectiology, and vaccinology, and related fields in the spotlight in an unprecedented way, implying great opportunities, but also the need to communicate effectively, often amidst controversy.

Indexed as

Epidemiologic MethodsAge FactorsBiomedical ResearchBiostatisticsCause of DeathCommunicable Disease ControlCOVID-19COVID-19 TestingCOVID-19 VaccinesDrug DevelopmentDrug IndustryEndpoint DeterminationEuropeHealth CommunicationHumansImmunity, HerdCOVID-19 VaccinesAntiviral therapyData sharingDiagnostic testingFactorial designsInfection fatality rateMathematical epidemiologyMathematical modelingMortalityNon-pharmaceutical interventionNowcastingPlatform trialsPragmatic trialsPrevalenceSARS-CoV-2Vaccine development

Identifiers

PMID33132155
PMCPMC7581408

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.