Evidence map›Paper›PMID 34764200›Full record

ArticleBMJ open respiratory research2021

Post-COVID-19 assessment in a specialist clinical service: a 12-month, single-centre, prospective study in 1325 individuals.

Melissa Heightman, Jai Prashar, Toby E Hillman, Michael Marks, Rebecca Livingston, Heidi A Ridsdale, Robert Bell, Michael Zandi, Patricia McNamara, Alisha Chauhan and 16 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in BMJ open respiratory research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 68 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 2 pooled it
9.6field-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

68 citing papers in PubMed, 2 syntheses or guidelines pooled it, 105 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Trial
  4. Article
  5. Article
  6. Co-Creating Publicly Available Resources to Increase Awareness of and Support for Long Covid Among Ethnic Minority Communities.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  7. Article
  8. Article
  9. Observational
  10. Intersectionality and Long Covid: Understanding the Lived Experiences of Ethnic Minority Groups in the United Kingdom.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Observational
  17. Article
  18. People from ethnic minorities seeking help for long COVID: a qualitative study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2024
    Article
  19. Article
  20. Long COVID and Health Inequalities: What's Next for Research and Policy Advocacy?Health expectations : an international journal of public participation in health care and health policy · 2024
    Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

26 authors at 5 institutions in 1 country.

Melissa HeightmanUniversity College London Hospitals NHS Foundation Trust, London, UK.
Jai PrasharUniversity College London Hospitals NHS Foundation Trust, London, UK.
Toby E HillmanUniversity College London Hospitals NHS Foundation Trust, London, UK.
Michael MarksUniversity College London Hospitals NHS Foundation Trust, London, UK.
Rebecca LivingstonUniversity College London Hospitals NHS Foundation Trust, London, UK.
Heidi A RidsdaleCentral and North West London NHS Foundation Trust, London, UK.
Robert BellUniversity College London Hospitals NHS Foundation Trust, London, UK.ORCID 0000-0003-2199-2638
Michael ZandiUniversity College London Hospitals NHS Foundation Trust, London, UK.
Patricia McNamaraUniversity College London Hospitals NHS Foundation Trust, London, UK.
Alisha ChauhanUniversity College London Hospitals NHS Foundation Trust, London, UK.
Emma DennenyUniversity College London Hospitals NHS Foundation Trust, London, UK.
Ronan AstinUniversity College London Hospitals NHS Foundation Trust, London, UK.
Helen PurcellUniversity College London Hospitals NHS Foundation Trust, London, UK.
Emily AttreeUKDoctors#Longcovid, London, UK.
Lyth HishmehLong COVID SOS, Oxford, UK.
Gordon PrescottUniversity of Central Lancashire, Preston, UK.
Rebecca EvansUniversity College London Hospitals NHS Foundation Trust, London, UK.
Puja MehtaUniversity College London Hospitals NHS Foundation Trust, London, UK.
Ewen BrennanUniversity College London Hospitals NHS Foundation Trust, London, UK.
Jeremy S BrownUniversity College London Hospitals NHS Foundation Trust, London, UK.
Joanna PorterUniversity College London Hospitals NHS Foundation Trust, London, UK.
Sarah LoganUniversity College London Hospitals NHS Foundation Trust, London, UK.
Emma WallUniversity College London Hospitals NHS Foundation Trust, London, UK.
Hakim-Moulay DehbiUniversity College London, London, UK.
Stephen ConeUniversity College London Hospitals NHS Foundation Trust, London, UK.
Amitava BanerjeeUniversity College London Hospitals NHS Foundation Trust, London, UK ami.banerjee@ucl.ac.uk.ORCID 0000-0001-8741-3411
University College London Hospitals NHS Foundation Trust · GBCentral and North West London NHS Foundation Trust · GBScience Oxford · GBUniversity College London · GBUniversity of Lancashire · GB

Funding

Medical Research Council MC_PC_20022
6 · The paper itself

Abstract

introductionPost-COVID-19 complications require simultaneous characterisation and management to plan policy and health system responses. We describe the 12-month experience of the first UK dedicated post-COVID-19 clinical service to include hospitalised and non-hospitalised patients.

methodsIn a single-centre, observational analysis, we report the demographics, symptoms, comorbidities, investigations, treatments, functional recovery, specialist referral and rehabilitation of 1325 individuals assessed at the University College London Hospitals post-COVID-19 service between April 2020 and April 2021, comparing by referral route: posthospitalised (PH), non-hospitalised (NH) and post emergency department (PED). Symptoms associated with poor recovery or inability to return to work full time were assessed using multivariable logistic regression.

results1325 individuals were assessed (PH: 547, 41.3%; PED: 212, 16%; NH: 566, 42.7%). Compared with the PH and PED groups, the NH group were younger (median 44.6 (35.6-52.8) years vs 58.3 (47.0-67.7) years and 48.5 (39.4-55.7) years), more likely to be female (68.2%, 43.0% and 59.9%), less likely to be of ethnic minority (30.9%, 52.7% and 41.0%) or seen later after symptom onset (median (IQR): 194 (118-298) days, 69 (51-111) days and 76 (55-128) days; all p<0.0001). All groups had similar rates of onward specialist referral (NH 18.7%, PH 16.1% and PED 18.9%, p=0.452) and were more likely to require support for breathlessness (23.7%, 5.5% and 15.1%, p<0.001) and fatigue (17.8%, 4.8% and 8.0%, p<0.001). Hospitalised patients had higher rates of pulmonary emboli, persistent lung interstitial abnormalities and other organ impairment. 716 (54.0%) individuals reported <75% optimal health (median 70%, IQR 55%-85%). Less than half of employed individuals could return to work full time at first assessment.

conclusionPost-COVID-19 symptoms were significant in PH and NH patients, with significant ongoing healthcare needs and utilisation. Trials of interventions and patient-centred pathways for diagnostic and treatment approaches are urgently required.

Indexed as

COVID-19Delivery of Health CareEthnicityFemaleHumansMaleMinority GroupsProspective StudiesSARS-CoV-2clinical epidemiologyCOVID-19

Identifiers

PMID34764200
PMCPMC8587466
OpenAlexW3212611507

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.