Evidence map›Paper›PMID 35272932›Full record

ArticleTrends in immunology2022

Early clues regarding the pathogenesis of long-COVID.

Michael J Peluso, Steven G Deeks

Open access · bronzeAbstract read
In one paragraph

Article in Trends in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 2 pooled it
16.9field-weighted citation impact, top 1% 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

94 citing papers in PubMed, 2 syntheses or guidelines pooled it, 141 citations in OpenAlex.

  1. SARS-CoV-2 post-acute sequelae in previously hospitalised patients: systematic literature review and meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2023
    Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
  6. Prevalence of Long COVID inJournal of clinical tuberculosis and other mycobacterial diseases · 2026
    Article
  7. Article
  8. Observational
  9. Review
  10. Choroid plexus alterations in long COVID and their associations with IL-6.European archives of psychiatry and clinical neuroscience · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Observational
  16. Review
  17. Review
  18. Review
  19. Article
  20. Review

34 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Michael J PelusoDivision of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, CA, USA.
Steven G DeeksDivision of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, CA, USA. Electronic address: steven.deeks@ucsf.edu.
University of California, San Francisco · US

Funding

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 L30 AI147159
6 · The paper itself

Abstract

Intense investigation into the predictors and determinants of post-acute sequelae of SARS-CoV-2 infection (PASC), including 'long COVID', is underway. Recent studies provide clues to the mechanisms that might drive this condition, with the goal of identifying host or virus factors that can be intervened upon to prevent or reverse PASC.

Indexed as

COVID-19Disease ProgressionHumansPost-Acute COVID-19 SyndromeSARS-CoV-2immunologylong COVIDpost-acute COVID syndrome (PACS)post-acute sequelae of SARS-CoV-2 (PASC)SARS-CoV-2

Identifiers

PMID35272932
PMCPMC8901423
OpenAlexW4221013931

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.