Evidence map›Paper›PMID 39819953›Full record

ArticleBMJ open2025

Tracking Persistent Symptoms in Scotland (TraPSS): a longitudinal prospective cohort study of COVID-19 recovery after mild acute infection.

Nicholas F Sculthorpe, Marie McLaughlin, Luke Cerexhe, Eilidh Macdonald, Antonio Dello Iacono, Nilihan E M Sanal-Hayes, Joanne Ingram, Rachel Meach, David Carless, Jane Ormerod and 1 more

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
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

11 authors.

Nicholas F SculthorpeSport and Physical Activity Research Institute, University of the West of Scotland, Glasgow, UK.
Marie McLaughlinInstitute for Sport Physical Education and Health Sciences, University of Edinburgh, Edinburgh, UK.
Luke CerexheSport and Physical Activity Research Institute, University of the West of Scotland, Glasgow, UK.
Eilidh MacdonaldSport and Physical Activity Research Institute, University of the West of Scotland, Glasgow, UK.
Antonio Dello IaconoSport and Physical Activity Research Institute, University of the West of Scotland, Glasgow, UK.
Nilihan E M Sanal-HayesSchool of Health and Society, University of Salford, Salford, UK.
Joanne IngramSport and Physical Activity Research Institute, University of the West of Scotland, Glasgow, UK.
Rachel MeachDurham University, Durham, UK.
David CarlessSport and Physical Activity Research Institute, University of the West of Scotland, Glasgow, UK.
Jane OrmerodLong COVID Scotland, Aberdeen, UK.
Lawrence D HayesLancaster University Medical School, Lancaster University, Lancaster, Lancashire, UK L.Hayes4@lancaster.ac.uk.ORCID http://orcid.org/0000-0002-6654-0072

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 disease results in disparate responses between individuals and has led to the emergence of long coronavirus disease (Long-COVID), characterised by persistent and cyclical symptomology. To understand the complexity of Long-COVID, the importance of symptom surveillance and prospective longitudinal studies is evident.

methodsA 9-month longitudinal prospective cohort study was conducted within Scotland (n=287), using a mobile app to determine the proportion of recovered individuals and those with persistent symptoms and common symptoms, and associations with gender and age.

results3.1% of participants experienced symptoms at month 9, meeting the criteria for Long-COVID, as defined by the National Institute for Health and Care Excellence terminology. The random effects model revealed a significant time (month) effect for infection recovery (p<0.001, estimate=0.07). Fatigue, cough and muscle pain were the most common symptoms at baseline, with fatigue persisting the longest, while symptoms like cough improved rapidly. Older age increased the likelihood of reporting pain (p=0.028, estimate=0.07) and cognitive impairment (p<0.001, estimate=0.93). Female gender increased the likelihood of headaches (p=0.024, estimate=0.53) and post-exertional malaise (PEM) frequency (p=0.05, estimate=137.68), and increased time x gender effect for PEM frequency (p=0.033, estimate=18.96).

conclusionsThe majority of people fully recover from acute COVID-19, although often slowly. Age and gender play a role in symptom burden and recovery rates, emphasising the need for tailored approaches to Long-COVID management. Further analysis is required to determine the characteristics of the individuals still reporting ongoing symptoms months after initial infection to identify risk factors and potential predictors for the development of Long-COVID.

Indexed as

COVID-19AdultAgedAge FactorsCoughFatigueFemaleHumansLongitudinal StudiesMaleMiddle AgedPost-Acute COVID-19 SyndromeProspective StudiesSARS-CoV-2ScotlandSex FactorsCOVID-19EpidemiologyPost-Acute COVID-19 Syndrome

Identifiers

PMID39819953
PMCPMC11751823

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.