Evidence map›Paper›PMID 39536121›Full record

ArticleScience translational medicine2024

Infection-associated chronic conditions: Why Long Covid is our best chance to untangle Osler's web.

Michael J Peluso, Maureen R Hanson, Steven G Deeks

Abstract read
In one paragraph

Article in Science translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Taste dysfunction in Long COVID.bioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. 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

3 authors.

Michael J PelusoDivision of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA 94110, USA.ORCID 0000-0003-0585-6230
Maureen R HansonDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA.ORCID 0000-0001-8141-3058
Steven G DeeksDivision of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA 94110, USA.ORCID 0000-0001-6371-747X

Funding

Research CoreU54AI178855 · NIAID · CORNELL UNIVERSITY · PI MAUREEN REBECCA HANSON · 2023 to 2026
$9.4M
Targeting Non Viral Markers of HIV PersistenceR01AI141003 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HENRICH, TIMOTHY JENSEN · 2018 to 2022
$4.9M
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
Evaluating SARS-CoV-2 spike antigen-induced coagulopathy and neuroinflammation as mechanistic drivers of neurologic PASCR01NS136197 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Michael Joseph Peluso · 2024 to 2026
$2.0M
Characterizing the virologic and immunologic signatures of HIV exceptional controlK23AI157875 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PELUSO, MICHAEL JOSEPH · 2021 to 2025
$927k
NIAID NIH HHS K23 AI157875NIAID NIH HHS R01 AI141003NIAID NIH HHS R01 AI158013NIAID NIH HHS U54 AI178855NINDS NIH HHS R01 NS136197
6 · The paper itself

Abstract

The recognition of Long Covid has renewed efforts to understand other infection-associated chronic conditions (IACCs). Here, we describe how studies of Long Covid and other IACCs might inform one another. We argue for the importance of a coordinated research agenda addressing these debilitating illnesses.

Indexed as

COVID-19Chronic DiseaseHumansPost-Acute COVID-19 SyndromeSARS-CoV-2

Identifiers

PMID39536121
PMCPMC12919982

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.