Evidence map›Paper›PMID 41741569›Full record

ArticleScientific reports2026

ICD-10 Diagnoses prior to ME/CFS diagnosis in children and young people suggest potential early diagnostic indicators.

Marielle Wirth, Burkhard Haastert, Ute Linnenkamp, Silke Andrich, Andrea Icks, Rafael Pricoco, Uta Behrends, Freia De Bock

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Marielle WirthDepartment of General Pediatrics, Neonatology and Pediatric Cardiology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany. marielle.wirth@med.uni-duesseldorf.de.ORCID http://orcid.org/0009-0006-4204-6236
Burkhard HaastertmediStatistica, Wuppertal, Germany.
Ute LinnenkampCentre for Health and Society, Institute for Health Services Research and Health Economics, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Silke AndrichCentre for Health and Society, Institute for Health Services Research and Health Economics, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Andrea IcksCentre for Health and Society, Institute for Health Services Research and Health Economics, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Rafael PricocoMunich Chronic Fatigue Center for Young People (MCFC), TUM School of Medicine and Health, Children's Hospital, Technical University of Munich, Munich, Germany.
Uta BehrendsMunich Chronic Fatigue Center for Young People (MCFC), TUM School of Medicine and Health, Children's Hospital, Technical University of Munich, Munich, Germany.
Freia De BockDepartment of General Pediatrics, Neonatology and Pediatric Cardiology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.ORCID http://orcid.org/0000-0002-7089-8106

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To identify ICD-10-GM codes recorded in the year preceding a Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) diagnosis, we conducted a 1:5 matched case–control study using statutory health insurance data of 6–27-year-olds with ME/CFS (ICD-10-GM: G93.3, 2020–2022). Cases (n = 6,077) were matched 1:5 to controls by birth year, sex, and postal code. ICD-10-GM codes from the preceding year were analyzed using multivariable conditional logistic regression, reporting odds ratios (OR) and 95% confidence intervals. Most cases were female and aged 18–27 years. Forty-four ICD-10-GM code classes were associated with increased and four with decreased odds, spanning 13 diagnostic chapters. Most associations were in chapters F (mental/behavioral disorders), R (respiratory diseases), and M (musculoskeletal disorders). Frequent conditions included fatigue, depression, pain disorders, and somatoform disorders (≥ 10% in cases; ORs 1.11–2.19. Rare diagnoses (≤ 1% prevalence), such as fibromyalgia (OR 2.08, 95% CI: 1.20–3.59) and mild cognitive impairment (2.93, 1.21–7.10), were strongly associated. Four COVID-19 or vaccination-related code classes were identified, with post-COVID-19 condition showing the highest OR (3.84, 2.97–4.98). Several ICD-10-GM codes, including COVID-19 related codes, were associated with later ME/CFS diagnoses. Prospective studies should clarify timing relative to ME/CFS onset, and distinguish between pre-existing conditions, comorbidities, early manifestations, or misdiagnoses.

Indexed as

Fatigue Syndrome, ChronicInternational Classification of DiseasesAdolescentCase-Control StudiesChildFemaleHumansMaleYoung AdultCase–control studyChildren and young peopleChronic fatigue syndromeICD-10-GMME/CFSMyalgic encephalomyelitis

Identifiers

PMID41741569
PMCPMC12949141

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