Evidence map›Paper›PMID 37536948›Full record

Observational studyBMJ open respiratory research2023

Cross-sectional study evaluating the impact of SARS-CoV-2 variants on Long COVID outcomes in UK hospital survivors.

Anita Saigal, Camila Nagoda Niklewicz, Sindhu Bhaarrati Naidu, Heba M Bintalib, Amar Jitu Shah, George Seligmann, Alan Stewart Hunter, Emmanuel Wey, Ibrahim Abubakar, Tabitha Mahungu and 11 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMJ open respiratory research, 2023. 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
2.7field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Profiles of Individuals With Long COVID Reporting Persistent Cognitive Complaints.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2025
    Trial
  2. Trial
  3. Article
  4. Review
  5. Observational
  6. Article
  7. Article
  8. Prevalence and Predictors of Long COVID in Patients Accessing a National Digital Mental Health Service.International journal of environmental research and public health · 2023
    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

21 authors at 2 institutions in 1 country.

Anita SaigalUCL Respiratory, University College London, London, UK rmhaa56@ucl.ac.uk.
Camila Nagoda NiklewiczRespiratory Medicine, Royal Free London NHS Foundation Trust, London, UK.
Sindhu Bhaarrati NaiduRespiratory Medicine, Royal Free London NHS Foundation Trust, London, UK.
Heba M BintalibUCL Respiratory, University College London, London, UK.
Amar Jitu ShahUCL Respiratory, University College London, London, UK.
George SeligmannRespiratory Medicine, Royal Free London NHS Foundation Trust, London, UK.
Alan Stewart HunterDepartment of Infectious Diseases, Royal Free London NHS Foundation Trust, London, UK.
Emmanuel WeyDepartment of Infectious Diseases, Royal Free London NHS Foundation Trust, London, UK.
Ibrahim AbubakarUCL Respiratory, University College London, London, UK.
Tabitha MahunguDepartment of Virology, Royal Free London NHS Foundation Trust, London, UK.
David MillerOpen Health Care, London, UK.
Joseph BarnettDepartment of Radiology, Royal Free London NHS Foundation Trust, London, UK.
Neel Gautam JainDepartment of Radiology, Royal Free London NHS Foundation Trust, London, UK.
Simon BrillRespiratory Medicine, Royal Free London NHS Foundation Trust, London, UK.
James GoldringRespiratory Medicine, Royal Free London NHS Foundation Trust, London, UK.
Hannah JarvisRespiratory Medicine, Royal Free London NHS Foundation Trust, London, UK.
Colette SmithInstitute of Global Health, University College London, London, UK.
Chibueze OgbonnayaInstitute of Child Health, University College London, London, UK.
John R HurstUCL Respiratory, University College London, London, UK.
Marc C I LipmanUCL Respiratory, University College London, London, UK.
Swapna MandalUCL Respiratory, University College London, London, UK.
Royal Free London NHS Foundation Trust · GBUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCOVID-19 studies report on hospital admission outcomes across SARS-CoV-2 waves of infection but knowledge of the impact of SARS-CoV-2 variants on the development of Long COVID in hospital survivors is limited. We sought to investigate Long COVID outcomes, aiming to compare outcomes in adult hospitalised survivors with known variants of concern during our first and second UK COVID-19 waves, prior to widespread vaccination.

designProspective observational cross-sectional study.

settingSecondary care tertiary hospital in the UK.

participantsThis study investigated Long COVID in 673 adults with laboratory-positive SARS-CoV-2 infection or clinically suspected COVID-19, 6 weeks after hospital discharge. We compared adults with wave 1 (wildtype variant, admitted from February to April 2020) and wave 2 patients (confirmed Alpha variant on viral sequencing (B.1.1.7), admitted from December 2020 to February 2021). OUTCOME MEASURES: Associations of Long COVID presence (one or more of 14 symptoms) and total number of Long COVID symptoms with SARS-CoV-2 variant were analysed using multiple logistic and Poisson regression, respectively.

results322/400 (wave 1) and 248/273 (wave 2) patients completed follow-up. Predictors of increased total number of Long COVID symptoms included: pre-existing lung disease (adjusted count ratio (aCR)=1.26, 95% CI 1.07, 1.48) and more COVID-19 admission symptoms (aCR=1.07, 95% CI 1.02, 1.12). Weaker associations included increased length of inpatient stay (aCR=1.02, 95% CI 1.00, 1.03) and later review after discharge (aCR=1.00, 95% CI 1.00, 1.01). SARS-CoV-2 variant was not associated with Long COVID presence (OR=0.99, 95% CI 0.24, 4.20) or total number of symptoms (aCR=1.09, 95% CI 0.82, 1.44).

conclusionsPatients with chronic lung disease or greater COVID-19 admission symptoms have higher Long COVID risk. SARS-CoV-2 variant was not predictive of Long COVID though in wave 2 we identified fewer admission symptoms, improved clinical trajectory and outcomes. Addressing modifiable factors such as length of stay and timepoint of clinical review following discharge may enable clinicians to move from Long COVID risk stratification towards improving its outcome.

Indexed as

COVID-19SARS-CoV-2AdultCross-Sectional StudiesHospitalsHumansPost-Acute COVID-19 SyndromeUnited KingdomCOVID-19Respiratory InfectionViral infection

Identifiers

PMID37536948
PMCPMC10401240
OpenAlexW4385532209

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.