Evidence map›Paper›PMID 34870933›Full record

ArticleAIDS (London, England)2021

SARS-CoV-2 incidence, testing rates, and severe COVID-19 outcomes among people with and without HIV.

Matthew A Spinelli, Lillian B Brown, David V Glidden, Kyle Hunter, Patrick Martin-Tuite, James Zheng, Curtis Sera, Diane Havlir, Susan P Buchbinder, Monica Gandhi

Open access · greenAbstract read
In one paragraph

Article in AIDS (London, England), 2021. 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
1.1field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  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

10 authors at 3 institutions in 1 country.

Matthew A SpinelliDivision of HIV, ID, and Global Medicine.
Lillian B BrownDivision of HIV, ID, and Global Medicine.
David V GliddenDepartment of Epidemiology and Biostatistics.
Kyle HunterDepartment of Medicine, University of California, San Francisco.
Patrick Martin-TuiteDepartment of Medicine, University of California, San Francisco.
James ZhengDepartment of Medicine, University of California, San Francisco.
Curtis SeraDepartment of Medicine, University of California, San Francisco.
Diane HavlirDivision of HIV, ID, and Global Medicine.
Susan P BuchbinderDepartment of Epidemiology and Biostatistics.
Monica GandhiDivision of HIV, ID, and Global Medicine.
Center for Global Health · USUniversity of California, San Francisco · USSan Francisco Department of Public Health · US

Funding

Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MALLORY O JOHNSON · 1988 to 2026
$93.6M
Evaluation of the Interplay between HIV and COVID-19 in a large urban safety-net HIV clinicR01AI158013 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GANDHI, MONICA, SPINELLI, MATTHEW A. · 2020 to 2023
$3.1M
NIAID NIH HHS P30 AI027763NIAID NIH HHS R01 AI158013
6 · The paper itself

Abstract

To assess SARS-CoV-2 outcomes, we matched a municipal COVID-19 registry and clinic rosters from a municipal primary care network containing a large HIV clinic and assessed clinical outcomes by HIV status. The risk of severe COVID-19 was higher among people with HIV (PWH, adjusted relative risk = 1.84, 95% confidence interval = 1.05-3.25), while SARS-CoV-2 incidence was lower despite higher testing rates. SARS-CoV-2 vaccination campaigns should prioritize PWH to prevent severe COVID-19 disease given potentially higher risk.

Indexed as

COVID-19HIV InfectionsCOVID-19 VaccinesHumansIncidenceSARS-CoV-2COVID-19 Vaccines

Identifiers

PMID34870933
PMCPMC8673488
OpenAlexW3203388020

What OpenQuestion holds

Textmetadata
LicenceTDM
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.