Evidence map›Paper›PMID 34887318›Full record

Observational studyBMJ open respiratory research2021

Long-term outcomes following severe COVID-19 infection: a propensity matched cohort study.

Joanne McPeake, Martin Shaw, Pamela MacTavish, Kevin G Blyth, Helen Devine, Gillian Fleming, Justine Griffin, Lisa Gemmell, Pauline Grose, Mark Henderson and 12 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMJ open respiratory research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Global prevalence of post-COVID-19 condition: a systematic review and meta-analysis of prospective evidence.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2025
    Pooled it
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  7. Long-term effects on swallowing and laryngeal function after treatment for severe COVID-19 disease in intensive care.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2024
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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

22 authors at 4 institutions in 1 country.

Joanne McPeakeNHS Greater Glasgow and Clyde, Glasgow, UK joanne.mcpeake@glasgow.ac.uk.ORCID 0000-0001-8206-6801
Martin ShawNHS Greater Glasgow and Clyde, Glasgow, UK.
Pamela MacTavishNHS Greater Glasgow and Clyde, Glasgow, UK.
Kevin G BlythNHS Greater Glasgow and Clyde, Glasgow, UK.
Helen DevineNHS Greater Glasgow and Clyde, Glasgow, UK.
Gillian FlemingNHS Fife, Kirkcaldy, UK.
Justine GriffinNHS Greater Glasgow and Clyde, Glasgow, UK.
Lisa GemmellNHS Greater Glasgow and Clyde, Glasgow, UK.
Pauline GroseNHS Greater Glasgow and Clyde, Glasgow, UK.
Mark HendersonNHS Greater Glasgow and Clyde, Glasgow, UK.
Philip HendersonNHS Greater Glasgow and Clyde, Glasgow, UK.
Lucy HoggNHS Fife, Kirkcaldy, UK.
Kirstin KingNHS Greater Glasgow and Clyde, Glasgow, UK.
Iain McInnesUniversity of Glasgow, College of Medical, Veterinary and Life Science, Glasgow, UK.
Peter O'BrienNHS Ayrshire and Arran, Ayr, UK.
Kathryn PuxtyNHS Greater Glasgow and Clyde, Glasgow, UK.
Callum RaineyNHS Ayrshire and Arran, Ayr, UK.
Varun SharmaNHS Greater Glasgow and Clyde, Glasgow, UK.
Malcolm SimNHS Greater Glasgow and Clyde, Glasgow, UK.
Laura StrachanNHS Greater Glasgow and Clyde, Glasgow, UK.
Stefan SiebertInstitute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, UK.
Tara QuasimNHS Greater Glasgow and Clyde, Glasgow, UK.
NHS Greater Glasgow and Clyde · GBNHS Ayrshire and Arran · GBNHS Fife · GBUniversity of Glasgow · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are limited data describing the long-term outcomes of severe COVID-19. We aimed to evaluate the long-term psychosocial and physical consequences of severe COVID-19 for patients.

methodsWe conducted a multicentre observational cohort study; between 3 and 7 months posthospital discharge, patients who had been admitted to critical care due to severe COVID-19 were invited to an established recovery service. Standardised questionnaires concerning emotional, physical and social recovery, including information on employment, were completed by patients. Using propensity score matching, we explored outcomes between patients admitted to critical care with and without COVID-19, using data from the same recovery programme.

resultsBetween July 2020 and December 2020, 93 patients who had been admitted to critical with COVID-19 participated. Emotional dysfunction was common: 46.2% of patients had symptoms of anxiety and 34.4% symptoms of depression. At follow-up 53.7% of previously employed patients had returned to employment; there was a significant difference in return to employment across the socio-economic gradient, with lower numbers of patients from the most deprived areas returning to employment (p=0.03). 91 (97.8%) COVID-19 patients were matched with 91 non-COVID-19 patients. There were no significant differences in any measured outcomes between the two cohorts.

interpretationEmotional and social problems are common in survivors of severe COVID-19 infection. Coordinated rehabilitation is required to ensure patients make an optimal recovery.

Indexed as

COVID-19AnxietyCohort StudiesHumansSARS-CoV-2Surveys and QuestionnairesARDSCOVID-19

Identifiers

PMID34887318
PMCPMC8663070
OpenAlexW3211548310

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.