Evidence map›Paper›PMID 35365841›Full record

Trial reportSouthern medical journal2022

COVID-19 Trials: Who Participates and Who Benefits?

Shanti Narayanasamy, Ahmad Mourad, Nicholas A Turner, Thuy Le, Robert J Rolfe, Nwora Lance Okeke, Sean M O'Brien, Arthur W Baker, Rebekah Wrenn, Rossana Rosa and 3 more

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Southern medical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

13 authors at 1 institution in 1 country.

Shanti NarayanasamyFrom the Division of Infectious Diseases and Departments of Biostatistics and Bioinformatics and Medicine, Duke University School of Medicine, Durham, North Carolina, and UnityPoint Health, Des Moines, Iowa.
Ahmad MouradFrom the Division of Infectious Diseases and Departments of Biostatistics and Bioinformatics and Medicine, Duke University School of Medicine, Durham, North Carolina, and UnityPoint Health, Des Moines, Iowa.
Nicholas A TurnerFrom the Division of Infectious Diseases and Departments of Biostatistics and Bioinformatics and Medicine, Duke University School of Medicine, Durham, North Carolina, and UnityPoint Health, Des Moines, Iowa.
Thuy LeFrom the Division of Infectious Diseases and Departments of Biostatistics and Bioinformatics and Medicine, Duke University School of Medicine, Durham, North Carolina, and UnityPoint Health, Des Moines, Iowa.
Robert J RolfeFrom the Division of Infectious Diseases and Departments of Biostatistics and Bioinformatics and Medicine, Duke University School of Medicine, Durham, North Carolina, and UnityPoint Health, Des Moines, Iowa.
Nwora Lance OkekeFrom the Division of Infectious Diseases and Departments of Biostatistics and Bioinformatics and Medicine, Duke University School of Medicine, Durham, North Carolina, and UnityPoint Health, Des Moines, Iowa.
Sean M O'BrienFrom the Division of Infectious Diseases and Departments of Biostatistics and Bioinformatics and Medicine, Duke University School of Medicine, Durham, North Carolina, and UnityPoint Health, Des Moines, Iowa.
Arthur W BakerFrom the Division of Infectious Diseases and Departments of Biostatistics and Bioinformatics and Medicine, Duke University School of Medicine, Durham, North Carolina, and UnityPoint Health, Des Moines, Iowa.
Rebekah WrennFrom the Division of Infectious Diseases and Departments of Biostatistics and Bioinformatics and Medicine, Duke University School of Medicine, Durham, North Carolina, and UnityPoint Health, Des Moines, Iowa.
Rossana RosaFrom the Division of Infectious Diseases and Departments of Biostatistics and Bioinformatics and Medicine, Duke University School of Medicine, Durham, North Carolina, and UnityPoint Health, Des Moines, Iowa.
Frank W RockholdFrom the Division of Infectious Diseases and Departments of Biostatistics and Bioinformatics and Medicine, Duke University School of Medicine, Durham, North Carolina, and UnityPoint Health, Des Moines, Iowa.
Susanna NaggieFrom the Division of Infectious Diseases and Departments of Biostatistics and Bioinformatics and Medicine, Duke University School of Medicine, Durham, North Carolina, and UnityPoint Health, Des Moines, Iowa.
Jason E StoutFrom the Division of Infectious Diseases and Departments of Biostatistics and Bioinformatics and Medicine, Duke University School of Medicine, Durham, North Carolina, and UnityPoint Health, Des Moines, Iowa.
Duke University · US

Funding

Social and Behavioral Sciences CoreP30AI064518 · NIAID · DUKE UNIVERSITY · PI Nwora Lance Okeke · 2005 to 2026
$50.5M
NIAID NIH HHS P30 AI064518
6 · The paper itself

Abstract

objectivesThe coronavirus disease 2019 (COVID-19) pandemic has disproportionately afflicted vulnerable populations. Older adults, particularly residents of nursing facilities, represent a small percentage of the population but account for 40% of mortality from COVID-19 in the United States. Racial and ethnic minority individuals, particularly Black, Hispanic, and Indigenous Americans have experienced higher rates of infection and death than the White population. Although there has been an unprecedented explosion of clinical trials to examine potential therapies, participation by members of these vulnerable communities is crucial to obtaining data generalizable to those communities.

methodsWe undertook an open-label, factorial randomized clinical trial examining hydroxychloroquine and/or azithromycin for hospitalized patients.

resultsOf 53 screened patients, 11 (21%) were enrolled. Ten percent (3/31) of Black patients were enrolled, 33% (7/21) of White patients, and 50% (6/12) of Hispanic patients. Forty-seven percent (25/53) of patients declined participation despite eligibility; 58%(18/31) of Black patients declined participation. Forty percent (21/53) of screened patients were from a nursing facility and 10% (2/21) were enrolled. Enrolled patients had fewer comorbidities than nonenrolled patients: median modified Charlson comorbidity score 2.0 (interquartile range 0-2.5), versus 4.0 (interquartile range 2-6) for nonenrolled patients (

conclusionsThe high rate of nonparticipation in our trial of nursing facility residents and Black people emphasizes the concern that clinical trials for therapeutics may not target key populations with high mortality rates.

Indexed as

COVID-19AgedBlack or African AmericanBlack PeopleEthnicityHispanic or LatinoHumansMinority GroupsUnited States

Identifiers

PMID35365841
PMCPMC8945389
OpenAlexW4223888816

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.