Evidence map›Paper›PMID 37437914›Full record

SynthesisEuropean respiratory review : an official journal of the European Respiratory Society2023

SARS-CoV-2 post-acute sequelae in previously hospitalised patients: systematic literature review and meta-analysis.

J Daniel Kelly, Tristan Curteis, Aaditya Rawal, Molly Murton, Laura J Clark, Zarena Jafry, Rikisha Shah-Gupta, Mark Berry, Aprille Espinueva, Linda Chen and 3 more

Open access · diamondAbstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in European respiratory review : an official journal of the European Respiratory Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
6.4field-weighted citation impact, top 3% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Definitions and symptoms of the post-COVID syndrome: an updated systematic umbrella review.European archives of psychiatry and clinical neuroscience · 2025
    Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Observational
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

13 authors at 6 institutions in 2 countries.

J Daniel KellyDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA Dan.Kelly@ucsf.edu.
Tristan CurteisCostello Medical Consulting Ltd, Manchester, UK.
Aaditya RawalCostello Medical Consulting, Inc., Boston, MA, USA.
Molly MurtonCostello Medical Consulting Ltd, London, UK.
Laura J ClarkCostello Medical Consulting Ltd, Manchester, UK.ORCID https://orcid.org/0000-0003-4378-2420
Zarena JafryCostello Medical Consulting, Inc., Boston, MA, USA.
Rikisha Shah-GuptaGilead Sciences Europe Ltd, Uxbridge, UK.
Mark BerryGilead Sciences Europe Ltd, Uxbridge, UK.
Aprille EspinuevaGilead Sciences, Inc., Foster City, CA, USA.
Linda ChenGilead Sciences, Inc., Foster City, CA, USA.
Mazin AbdelghanyGilead Sciences, Inc., Foster City, CA, USA.
Daniel A SweeneyDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of California, San Diego, CA, USA.
Jennifer K QuintSchool of Public Health and National Heart and Lung Institute, Imperial College London, London, UK.ORCID https://orcid.org/0000-0003-0149-4869
Costello Medical Consulting (United Kingdom) · GBGilead Sciences (United States) · USGilead Sciences (United Kingdom) · GBImperial College London · GBUniversity of California, San Francisco · USUniversity of California System · US

Funding

Understanding the epidemiology and natural history of unrecognized Ebola virus infectionK23AI146268 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KELLY, JOHN DANIEL · 2019 to 2022
$748k
NIAID NIH HHS K23 AI146268NIAID NIH HHS L30 AI126521
6 · The paper itself

Abstract

backgroundMany individuals hospitalised with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection experience post-acute sequelae of SARS-CoV-2 infection (PASC), sometimes referred to as "long COVID". Our objective was to conduct a systematic literature review and meta-analysis to identify PASC-associated symptoms in previously hospitalised patients and determine the frequency and temporal nature of PASC.

methodsSearches of MEDLINE, Embase, Cochrane Library (2019-2021), World Health Organization International Clinical Trials Registry Platform and reference lists were performed from November to December 2021. Articles were assessed by two reviewers against eligibility criteria and a risk of bias tool. Symptom data were synthesised by random effects meta-analyses.

resultsOf 6942 records, 52 studies with at least 100 patients were analysed; ∼70% were Europe-based studies. Most data were from the first wave of the pandemic. PASC symptoms were analysed from 28 days after hospital discharge. At 1-4 months post-acute SARS-CoV-2 infection, the most frequent individual symptoms were fatigue (29.3% (95% CI 20.1-40.6%)) and dyspnoea (19.6% (95% CI 12.8-28.7%)). Many patients experienced at least one symptom at 4-8 months (73.1% (95% CI 44.2-90.3%)) and 8-12 months (75.0% (95% CI 56.4-87.4%)).

conclusionsA wide spectrum of persistent PASC-associated symptoms were reported over the 1-year follow-up period in a significant proportion of participants. Further research is needed to better define PASC duration and determine whether factors such as disease severity, vaccination and treatments have an impact on PASC.

Indexed as

COVID-19SARS-CoV-2Disease ProgressionDyspneaHumansPost-Acute COVID-19 Syndrome

Identifiers

PMID37437914
PMCPMC10336551
OpenAlexW4384035797

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.