Evidence map›Paper›PMID 35392453›Full record

ArticleOpen forum infectious diseases2022

A Tale of 3 Pandemics: Severe Acute Respiratory Syndrome Coronavirus 2, Hepatitis C Virus, and Human Immunodeficiency Virus in an Urban Emergency Department in Baltimore, Maryland.

Yu-Hsiang Hsieh, Richard E Rothman, Sunil S Solomon, Mark Anderson, Michael Stec, Oliver Laeyendecker, Isabel V Lake, Reinaldo E Fernandez, Gaby Dashler, Radhika Mehta and 6 more

Open access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 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
0.4field-weighted citation impact, top 40% 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, 2 citations in OpenAlex.

  1. Article
  2. High Burden of Undiagnosed Hepatitis B and Liver Disease in an Urban Emergency Department-Baltimore, 2020.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2023
    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

16 authors at 3 institutions in 1 country.

Yu-Hsiang HsiehDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Richard E RothmanDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Sunil S SolomonDepartment of Medicine, Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Mark AndersonAbbott Laboratories, Abbott Park, Illinois, USA.
Michael StecAbbott Laboratories, Abbott Park, Illinois, USA.
Oliver LaeyendeckerDepartment of Medicine, Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Isabel V LakeDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Reinaldo E FernandezDepartment of Medicine, Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Gaby DashlerDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Radhika MehtaDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Thomas KicklerDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Gabor D KelenDepartment of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Shruti H MehtaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Gavin A ClohertyAbbott Laboratories, Abbott Park, Illinois, USA.
Thomas C QuinnDepartment of Medicine, Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Johns Hopkins COVID-19 Emergency Medicine Investigators
Johns Hopkins University · USAbbott Fund · USNational Institutes of Health · US

Funding

Epidemiologic and Immunologic Investigations of SARS-CoV-2 (COVID-19) InfectionsZIAAI001286 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI QUINN, THOMAS · 2020 to 2023
$349k
6 · The paper itself

Abstract

Background: We sought to determine the prevalence and sociodemographic and clinical correlates of acute and convalescent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), hepatitis C virus (HCV), and human immunodeficiency virus (HIV) infections among emergency department (ED) patients in Baltimore. Methods: Remnant blood samples from 7450 unique patients were collected over 4 months in 2020 for SARS-CoV-2 antibody (Ab), HCV Ab, and HIV-1/2 antigen and Ab. Among them, 5012 patients were tested by polymerase chain reaction for SARS-CoV-2 based on clinical suspicion. Sociodemographics, ED clinical presentations, and outcomes associated with coinfections were assessed. Results: Overall, 729 (9.8%) patients had SARS-CoV-2 (acute or convalescent), 934 (12.5%) HCV, 372 (5.0%) HIV infection, and 211 patients (2.8%) had evidence of any coinfection (HCV/HIV, 1.5%; SARS-CoV-2/HCV, 0.7%; SARS-CoV-2/HIV, 0.3%; SARS-CoV-2/HCV/HIV, 0.3%). The prevalence of SARS-CoV-2 (acute or convalescent) was significantly higher in those with HCV or HIV vs those without (13.6% vs 9.1%, Conclusions: The burden of SARS-CoV-2, HCV, and HIV co-pandemics and their associations with specific sociodemographic disparities, clinical presentations, and outcomes suggest that urban EDs should consider implementing integrated screening and linkage-to-care programs for these 3 infections.

Indexed as

coinfectionemergency departmentHCVHIVSARS-CoV-2

Identifiers

PMID35392453
PMCPMC8982772
OpenAlexW4221038862

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.