Evidence map›Paper›PMID 37153597›Full record

ReviewFrontiers in immunology2023

Long COVID: a review and proposed visualization of the complexity of long COVID.

Rubeshan Perumal, Letitia Shunmugam, Kogieleum Naidoo, Salim S Abdool Karim, Dave Wilkins, Alfredo Garzino-Demo, Christian Brechot, Sairam Parthasarathy, Anders Vahlne, Janko Ž Nikolich

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 2 pooled it
–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

59 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Post-COVID-19 conditions: a systematic review on advanced magnetic resonance neuroimaging findings.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Pre-pandemic diabetes and risk of long COVID: longitudinal evidence.Journal of diabetes and metabolic disorders · 2025
    Article
  11. Review
  12. Article
  13. Involvement of oxidative stress in post-acute sequelae of COVID-19: clinical implications.Redox report : communications in free radical research · 2025
    Article
  14. Article
  15. Article
  16. Age-Related Changes in the Clinical Picture of Long COVID.Journal of the American Geriatrics Society · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors.

Rubeshan PerumalCentre for the AIDS Programme of Research in South Africa (CAPRISA), South African Medical Research Council (SAMRC) - CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Durban, South Africa.
Letitia ShunmugamCentre for the AIDS Programme of Research in South Africa (CAPRISA), South African Medical Research Council (SAMRC) - CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Durban, South Africa.
Kogieleum NaidooCentre for the AIDS Programme of Research in South Africa (CAPRISA), South African Medical Research Council (SAMRC) - CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Durban, South Africa.
Salim S Abdool KarimCentre for the AIDS Programme of Research in South Africa (CAPRISA), South African Medical Research Council (SAMRC) - CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Durban, South Africa.
Dave WilkinsLong COVID Taskforce, The Global Virus Network, Baltimore, MD, United States.
Alfredo Garzino-DemoLong COVID Taskforce, The Global Virus Network, Baltimore, MD, United States.
Christian BrechotLong COVID Taskforce, The Global Virus Network, Baltimore, MD, United States.
Sairam ParthasarathyDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine and University of Arizona College of Medicine-Tucson, Tucson, AZ, United States.
Anders VahlneLong COVID Taskforce, The Global Virus Network, Baltimore, MD, United States.
Janko Ž NikolichLong COVID Taskforce, The Global Virus Network, Baltimore, MD, United States.

Funding

Medical Research Council MC_PC_16022
6 · The paper itself

Abstract

Post-Acute Sequelae of Severe Acute Respiratory Syndrome Coronavirus - 2 (SARS-CoV-2) infection, or Long COVID, is a prevailing second pandemic with nearly 100 million affected individuals globally and counting. We propose a visual description of the complexity of Long COVID and its pathogenesis that can be used by researchers, clinicians, and public health officials to guide the global effort toward an improved understanding of Long COVID and the eventual mechanism-based provision of care to afflicted patients. The proposed visualization or framework for Long COVID should be an evidence-based, dynamic, modular, and systems-level approach to the condition. Furthermore, with further research such a framework could establish the strength of the relationships between pre-existing conditions (or risk factors), biological mechanisms, and resulting clinical phenotypes and outcomes of Long COVID. Notwithstanding the significant contribution that disparities in access to care and social determinants of health have on outcomes and disease course of long COVID, our model focuses primarily on biological mechanisms. Accordingly, the proposed visualization sets out to guide scientific, clinical, and public health efforts to better understand and abrogate the health burden imposed by long COVID.

Indexed as

COVID-19HumansPost-Acute COVID-19 SyndromePublic HealthRisk FactorsSARS-CoV-2COVID-19long COVIDlong-haul COVIDpost-acute sequelae of SARS-CoV-2SARS-CoV-2

Identifiers

PMID37153597
PMCPMC10157068

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.