Vickers, Jasmine K, Levitan, Emily B, Howell, Carrie R et al. · BMC infectious diseases · 2026 · DOI
Researchers surveyed 205 people with Long COVID to understand how severe symptoms interfere with daily life and whether their condition was formally recorded in medical records. They found that people reporting high symptom interference were more likely to be older, female, obese, or in poor general health—but among those with severe symptoms, having an official Long COVID diagnosis code in their medical record was not associated with these demographic factors. The study observed discrepancies between what patients reported and what appeared in their medical records, though researchers did not find evidence that doctors were coding the diagnosis based on demographic bias.
By analogy, this Long COVID study may be relevant to ME/CFS research insofar as both conditions face diagnostic coding challenges and underrecognition in medical records. Understanding which demographic groups experience high symptom interference but lack formal coding could inform efforts to improve diagnosis recognition and equitable healthcare access. The finding that symptom severity, rather than demographic characteristics, drives diagnostic coding in Long COVID suggests a model that may apply to ME/CFS if similar disparities exist.
This cross-sectional design does not establish causation; it identifies associations only. The study does not confirm whether demographic factors directly influence symptom interference or whether they are proxy variables for other underlying factors (e.g., healthcare access, comorbidities). Findings from a Long COVID cohort do not automatically apply to ME/CFS, and relevance to ME/CFS diagnosis coding requires direct evidence. The study does not evaluate the accuracy of EMR coding practices or whether absence of a code reflects genuine underdiagnosis versus documentation variation.
About the PEM badge: “PEM required” means post-exertional malaise was an explicit required diagnostic criterion for participant inclusion in this study — not that PEM was studied, observed, or discussed. Studies using criteria that do not require PEM (e.g. Fukuda, Oxford) are tagged “PEM not required”. How the atlas works →
The first block is for the primary paper and is the citation you should use in research work. The atlas-snapshot line only applies if you are specifically referring to this atlas’s reading of the paper on the date shown.
Primary citation
Vickers, Jasmine K, Levitan, Emily B, Howell, Carrie R, Montgomery, Aoyjai P, Jones, Raymond, Lund, Frances E, et al. (2026). Differences in diagnostic coding in long COVID: sociodemographic and symptom interference factors.. BMC infectious diseases. https://doi.org/10.1186/s12879-026-13943-x
BibTeX
@article{mecfsatlas-vickers-2026-differences-diagnostic,
author = {Vickers, Jasmine K and Levitan, Emily B and Howell, Carrie R and Montgomery, Aoyjai P and Jones, Raymond and Lund, Frances E and Erdmann, Nathan},
title = {Differences in diagnostic coding in long COVID: sociodemographic and symptom interference factors.},
journal = {BMC infectious diseases},
year = {2026},
doi = {10.1186/s12879-026-13943-x},
note = {PubMed: 42414935},
url = {https://www.mecfsatlas.com/evidence/vickers-2026-differences-diagnostic},
}Atlas snapshot reference
ME/CFS Atlas. Generator v1 / Scanner v1.4 / policy v0.1. Accessed 2026-07-08. https://www.mecfsatlas.com/evidence/vickers-2026-differences-diagnostic
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