Evidence map›Paper›PMID 40180399›Full record

ArticleBMJ open2025

Understanding symptom clusters, diagnosis and healthcare experiences in myalgic encephalomyelitis/chronic fatigue syndrome and long COVID: a cross-sectional survey in the UK.

Maedeh Mansoubi, Thomas Richards, Martine Ainsworth-Wells, Russell Fleming, Phaedra Leveridge, Charles Shepherd, Helen Dawes

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. An Overview of Severe Myalgic Encephalomyelitis.Journal of clinical medicine · 2026
    Review
  5. Article
  6. 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

7 authors.

Maedeh MansoubiMedical School, University of Exeter, Exeter, UK m.mansoubi@exeter.ac.uk.ORCID http://orcid.org/0000-0002-8829-2217
Thomas RichardsMedical School, University of Exeter, Exeter, UK.
Martine Ainsworth-WellsME Association, London, UK.
Russell FlemingME Association, London, UK.
Phaedra LeveridgeMedical School, University of Exeter, Exeter, UK.ORCID http://orcid.org/0000-0002-3602-2231
Charles ShepherdME Association, Buckingham, UK.
Helen DawesMedical School, University of Exeter, Exeter, UK.ORCID http://orcid.org/0000-0002-2933-5213

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aims to provide an in-depth analysis of the symptoms, coexisting conditions and service utilisation among people with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and long COVID. The major research questions include the clustering of symptoms, the relationship between key factors and diagnosis time, and the perceived impact of National Institute for Health and Care Excellence (NICE) guidelines on patient care.

designCross-sectional survey using secondary data analysis.

settingCommunity-based primary care level across the UK, incorporating online survey participation.

participantsA total of 10 458 individuals responded to the survey, of which 8804 confirmed that they or a close friend/family member had ME/CFS or long COVID. The majority of respondents were female (83.4%), with participants from diverse regions of the UK. PRIMARY AND SECONDARY OUTCOME MEASURES: Primary outcomes included prevalence and clustering of symptoms, time to diagnosis, and participant satisfaction with National Health Service (NHS) care, while secondary outcomes focused on symptom management strategies and the perceived effect of NICE guidelines.

resultsFatigue (88.2%), postexertional malaise (78.2%), cognitive dysfunction (88.4%), pain (87.6%) and sleep disturbances (88.2%) were the most commonly reported symptoms among participants with ME/CFS, with similar patterns observed in long COVID. Time to diagnosis for ME/CFS ranged widely, with 22.1% diagnosed within 1-2 years of symptom onset and 12.9% taking more than 10 years. Despite updated NICE guidelines, only 10.1% of participants reported a positive impact on care, and satisfaction with NHS services remained low (6.9% for ME/CFS and 14.4% for long COVID).

conclusionsME/CFS and long COVID share overlapping but distinct symptom clusters, indicating common challenges in management. The findings highlight significant delays in diagnosis and low satisfaction with specialist services, suggesting a need for improved self-management resources and better-coordinated care across the NHS.

Indexed as

COVID-19Fatigue Syndrome, ChronicAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedPatient SatisfactionSARS-CoV-2State MedicineSurveys and QuestionnairesUnited KingdomCOVID-19FatiguePrimary CareSelf-Management

Identifiers

PMID40180399
PMCPMC11966950

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.