Evidence map›Paper›PMID 34755268›Full record

ArticleJournal of general internal medicine2022

The Landscape of COVID-19 Research in the United States: a Cross-sectional Study of Randomized Trials Registered on ClinicalTrials.Gov.

Chana A Sacks, Crystal M North, Molly Wolf, Michael Dougan, Kieran R Campbell, Jason Moggridge, Michael Fralick

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

7 authors.

Chana A SacksDivision of General Internal Medicine and Mongan Institute, Massachusetts General Hospital, Boston, MA, USA.
Crystal M NorthHarvard Medical School, Boston, MA, USA.
Molly WolfHarvard Medical School, Boston, MA, USA.
Michael DouganHarvard Medical School, Boston, MA, USA.
Kieran R CampbellLunenfeld Tanenbaum Research Institute, Sinai Health System, 60 Murray Street, Toronto, ON, M5T 3L9, Canada.
Jason MoggridgeLunenfeld Tanenbaum Research Institute, Sinai Health System, 60 Murray Street, Toronto, ON, M5T 3L9, Canada.
Michael FralickLunenfeld Tanenbaum Research Institute, Sinai Health System, 60 Murray Street, Toronto, ON, M5T 3L9, Canada. mike.fralick@mail.utoronto.ca.ORCID 0000-0002-2082-2445

Funding

The influence of air pollution on lung health among people living with HIV.K23HL154863 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI NORTH, CRYSTAL · 2020 to 2024
$1.1M
NHLBI NIH HHS K23 HL154863
6 · The paper itself

Abstract

importanceSARS-CoV-2 has infected over 200 million people worldwide, resulting in more than 4 million deaths. Randomized controlled trials are the single best tool to identify effective treatments against this novel pathogen.

objectiveTo describe the characteristics of randomized controlled trials of treatments for COVID-19 in the United States launched in the first 9 months of the pandemic. Design, Setting, and Participants We conducted a cross-sectional study of all completed or actively enrolling randomized, interventional, clinical trials for the treatment of COVID-19 in the United States registered on www.clinicaltrials.gov as of August 10, 2020. We excluded trials of vaccines and other interventions intended to prevent COVID-19. Main Outcomes and Measures We used descriptive statistics to characterize the clinical trials and the statistical power for the available studies. For the late-phase trials (i.e., phase 3 and 2/3 studies), we compared the geographic distribution of the clinical trials with the geographic distribution of people diagnosed with COVID-19.

resultsWe identified 200 randomized controlled trials of treatments for people with COVID-19. Across all trials, 87 (43.5%) were single-center, 64 (32.0%) were unblinded, and 80 (40.0%) were sponsored by industry. The most common treatments included monoclonal antibodies (N=46 trials), small molecule immunomodulators (N=28), antiviral medications (N=24 trials), and hydroxychloroquine (N=20 trials). Of the 9 trials completed by August 2020, the median sample size was 450 (IQR 67-1113); of the 191 ongoing trials, the median planned sample size was 150 (IQR 60-400). Of the late-phase trials (N=54), the most common primary outcome was a severity scale (N=23, 42.6%), followed by a composite of mortality and ventilation (N=10, 18.5%), and mortality alone (N=6, 11.1%). Among these late-phase trials, all trials of antivirals, monoclonal antibodies, or chloroquine/hydroxychloroquine had a power of less than 25% to detect a 20% relative risk reduction in mortality. Had the individual trials for a given class of treatments instead formed a single trial, the power to detect that same reduction in mortality would have been greater than 98%. There was large variability in access to trials with the highest number of trials per capita in the Northeast and the lowest in the Midwest. CONCLUSIONS AND RELEVANCE: A large number of randomized trials were launched early in the pandemic to evaluate treatments for COVID-19. However, many trials were underpowered for important clinical endpoints and substantial geographic disparities were observed, highlighting the importance of improving national clinical trial infrastructure.

Indexed as

COVID-19Cross-Sectional StudiesHumansPandemicsRandomized Controlled Trials as TopicSARS-CoV-2Treatment OutcomeUnited States

Identifiers

PMID34755268
PMCPMC8577643

What OpenQuestion holds

Textmetadata
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Registered trials

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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.