Evidence map›Paper›PMID 33333777›Full record

ArticleLife (Basel, Switzerland)2020

Outcomes Evaluated in Controlled Clinical Trials on the Management of COVID-19: A Methodological Systematic Review.

Alexander G Mathioudakis, Markus Fally, Rola Hashad, Ahmed Kouta, Ali Sina Hadi, Sean Blandin Knight, Nawar Diar Bakerly, Dave Singh, Paula R Williamson, Tim Felton and 1 more

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Outcomes assessed in therapeutic randomized controlled trials in hospitalized patients with COVID-19: is the meta Core Outcome Set (meta-COS) adopted?Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Alexander G MathioudakisDivision of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, The University of Manchester, Manchester Academic Health Science Centre, Manchester M23 9LT, UK.ORCID 0000-0002-4675-9616
Markus FallyDepartment of Internal Medicine, Section for Pulmonary Diseases, Herlev Gentofte Hospital, 2900 Hellerup, Denmark.ORCID 0000-0002-1339-2918
Rola HashadDivision of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, The University of Manchester, Manchester Academic Health Science Centre, Manchester M23 9LT, UK.
Ahmed KoutaDivision of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, The University of Manchester, Manchester Academic Health Science Centre, Manchester M23 9LT, UK.ORCID 0000-0003-1027-2213
Ali Sina HadiDepartment of Respiratory Medicine, Salford Royal Infirmary NHS Foundation Trust, Manchester M6 8HD, UK.
Sean Blandin KnightDivision of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, The University of Manchester, Manchester Academic Health Science Centre, Manchester M23 9LT, UK.
Nawar Diar BakerlyDepartment of Respiratory Medicine, Salford Royal Infirmary NHS Foundation Trust, Manchester M6 8HD, UK.
Dave SinghDivision of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, The University of Manchester, Manchester Academic Health Science Centre, Manchester M23 9LT, UK.
Paula R WilliamsonMRC/NIHR Trials Methodology Research Partnership, Department of Health Data Science, University of Liverpool, Liverpool L69 3BX, UK.
Tim FeltonDivision of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, The University of Manchester, Manchester Academic Health Science Centre, Manchester M23 9LT, UK.
Jørgen VestboDivision of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, The University of Manchester, Manchester Academic Health Science Centre, Manchester M23 9LT, UK.

Funding

Manchester Biomedical Research Centre NIHR Manchester BRC
6 · The paper itself

Abstract

It is crucial that randomized controlled trials (RCTs) on the management of coronavirus disease 2019 (COVID-19) evaluate the outcomes that are critical to patients and clinicians, to facilitate relevance, interpretability, and comparability. This methodological systematic review describes the outcomes evaluated in 415 RCTs on the management of COVID-19, that were registered with ClinicalTrials.gov, by 5 May 2020, and the instruments used to measure these outcomes. Significant heterogeneity was observed in the selection of outcomes and instruments. Mortality, adverse events and treatment success or failure are only evaluated in 64.4%, 48.4% and 43% of the included studies, respectively, while other outcomes are selected less often. Studies focusing on more severe presentations (hospitalized patients or requiring intensive care) most frequently evaluate mortality (72.5%) and adverse events (55.6%), while hospital admission (50.8%) and viral detection/load (55.6%) are most frequently assessed in the community setting. Outcome measurement instruments are poorly reported and heterogeneous. Follow-up does not exceed one month in 64.3% of these earlier trials, and long-term COVID-19 burden is rarely assessed. The methodological issues identified could delay the introduction of potentially life-saving treatments in clinical practice. Our findings demonstrate the need for greater consistency, to enable decision makers to compare and contrast studies.

Indexed as

coronavirus disease 2019COVID-19endpointsoutcomesrandomized controlled trialssystematic reviewstrial methods

Identifiers

PMID33333777
PMCPMC7765224

What OpenQuestion holds

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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.