Evidence map›Paper›PMID 39833264›Full record

ArticleScientific reports2025

Association between chronic fatigue syndrome/myalgic encephalomyelitis and cardiovascular disease.

Mawulorm K I Denu, Ritika Revoori, Cherita Eghan, Fredrick Larbi Kwapong, Andrew Hillman, Cornelius A Normeshie, Kofi Poku Berko, Emily L Aidoo, Maame Araba E Buadu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Sleep in myalgic encephalomyelitis/chronic fatigue syndrome shows marked night-to-night fluctuation under free-living conditions-results from a matched case-control study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026
    Article
  3. An Overview of Severe Myalgic Encephalomyelitis.Journal of clinical medicine · 2026
    Review
  4. Article
  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

9 authors.

Mawulorm K I DenuDivision of Cardiovascular Medicine, University of Massachusetts Medical School, Worcester, MA, USA. Mawulorm.denu@umassmed.edu.
Ritika RevooriDivision of Cardiovascular Medicine, University of Massachusetts Medical School, Worcester, MA, USA.
Cherita EghanDepartment of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Fredrick Larbi KwapongDepartment of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Andrew HillmanDepartment of Radiology, Baylor College of Medicine, Houston, TX, USA.
Cornelius A NormeshieDepartment of Family Medicine, University of Virginia Medical School, Charlottesville, VA, USA.
Kofi Poku BerkoDepartment of Medicine, Korle Bu Teaching Hospital, Accra, Ghana.
Emily L AidooDepartment of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Maame Araba E BuaduDepartment of Medicine, Massachusetts General Hospital, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic fatigue syndrome or myalgic encephalomyelitis (CFS/ME) is a medical condition characterized by severe and prolonged fatigue that is not relieved by rest or attributed to any underlying medical or psychological condition. Individuals with CFS/ME are considered to have an increased risk of a wide range of comorbid conditions, including cardiovascular disease (CVD). The association between CFS/ME and CVD is not fully understood. To determine the prevalence of CFS/ME in a sample population and examine its association with CVD. Weighted sample size data of 114,834 was analyzed from the 2021-2022 national health interview survey (NHIS). Information on sociodemographic factors, CVD risk factors, and history of CFS/ME and CVD were collected. Multivariable logistic regression model was used to determine the association between CFS/ME and CVD, adjusting for traditional CVD risk factors (age, sex, race, hypertension, diabetes, dyslipidemia, smoking, and body mass index (BMI). Median age of participants was 53 years, and majority of participants were female (53.9%). Prevalence of CFS/ME was 1.2%. A history of CFS/ME was significantly associated with CVD (aOR 3.26, 95%CI 2.85, 3.72, p-value: <0.001) after adjusting for traditional CVD risk factors. A history of CFS/ME was independently associated with CVD after adjusting for traditional CVD risk factors. Patients with CFS/ME need close evaluation for CVD. Further studies are needed to better understand the relationship between CFS/ME and CVD.

Indexed as

Cardiovascular DiseasesFatigue Syndrome, ChronicAdultAgedComorbidityFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsYoung AdultCardiovascular diseaseChronic fatigue syndromeMyalgic encephalomyelitisRisk factors

Identifiers

PMID39833264
PMCPMC11747618

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.