Evidence map›Paper›PMID 40259275›Full record

ArticleBMC public health2025

Unequal access to diagnosis of myalgic encephalomyelitis in England.

Gemma Louise Samms, Chris P Ponting

Abstract read
In one paragraph

Article in BMC public health, 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. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Under-Served Groups and Myalgic Encephalomyelitis Research Workshop; Multiple Barriers to Effective Healthcare, Research and Public Participation.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  9. Article
  10. 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

2 authors.

Gemma Louise SammsMRC Human Genetics Unit, The University of Edinburgh, Edinburgh, Scotland, EH4 2XU, UK.
Chris P PontingMRC Human Genetics Unit, The University of Edinburgh, Edinburgh, Scotland, EH4 2XU, UK. Chris.Ponting@ed.ac.uk.

Funding

ME Research UK PhD-level research fundingNational Institute for Health and Care Research (NIHR) and Medical Research Council (MRC) MC_PC_20005
6 · The paper itself

Abstract

backgroundPeople with Myalgic Encephalomyelitis (ME/CFS; sometimes referred to as chronic fatigue syndrome) experience poor health-related quality of life and only rarely recover. ME/CFS has no curative treatment, and no single diagnostic test. Public health and policy decisions relevant to ME/CFS require knowledge of its prevalence and barriers to diagnosis. However, people with ME/CFS report lengthy diagnostic delays and prevalence estimates vary greatly due to uneven diagnosis and misdiagnosis. Factors that influence diagnosis could be revealed by stratifying a single population by gender, age and ethnicity.

methodsHospital Episode Statistics data, routinely collected by the NHS in England, was downloaded from the Feasibility Self-Service of NHS DigiTrials. This was used to stratify individuals with the ICD-10 code that best reflects ME/CFS symptoms (G93.3) according to age, self-reported gender and ethnicity, General Practice and NHS England Integrated Care Board (ICB).

resultsIn all, 100,055 people in England had been diagnosed with ME/CFS (ICD-10:G93.3) between April 1 1989 and October 7 2023, 0.16% of all registered patients. Of these, 79,445 were females and 20,590 males, a female-to-male ratio of 3.88:1. Female relative to male prevalence peaked at about 6-to-1 in individuals' fourth and fifth decades of life. Prevalence varied widely across the 42 ICBs: 0.086%-0.82% for females and 0.024%-0.21% for males. White individuals were approximately fivefold more likely to be diagnosed with ME/CFS than others; Black, Asian or Chinese ethnicities are associated with particularly low rates of ME/CFS diagnoses. This ethnicity bias is stronger than for other common diseases. Among active English GP practices, 176 (3%) had no registered ME/CFS patients. Eight ICBs (19%) each contained fewer than 8 other-than-white individuals with a G93.3 code despite their registers containing a total of 293,770 other-than-white patients.

conclusionOther-than-white ethnic groups, older females (> 60y), older males (> 80y), and people living in areas of multiple deprivation are disproportionately undiagnosed with ME/CFS. Lifetime prevalence of ME/CFS for English females and males may be as high as 0.92% and 0.25%, respectively, or approximately 404,000 UK individuals overall (0.6%). This improved estimate of ME/CFS prevalence allows more accurate assessment of the socioeconomic and disease burden imposed by ME/CFS.

Indexed as

Fatigue Syndrome, ChronicHealthcare DisparitiesHealth Services AccessibilityAdolescentAdultAgedChildEnglandFemaleHumansMaleMiddle AgedPrevalenceState MedicineYoung AdultEthnicity biasGender biasMyalgic Encephalomyelitis prevalenceNHS England

Identifiers

PMID40259275
PMCPMC12012970

What OpenQuestion holds

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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.