Symptom-conditioned prediction of comorbidity in the hEDS–POTS–MCAS triad

Bayesian hierarchical meta-analysis of published evidence examining comorbidity within the hypermobile Ehlers-Danlos syndrome (hEDS), postural orthostatic tachycardia syndrome (POTS), and mast cell activation syndrome (MCAS) triad. Using aggregate cohort data from 22 published studies, this work estimates directed comorbidity probabilities, evaluates symptom-conditioned prediction using Bayesian updating, introduces a feasibility screen based on the Fréchet–Hoeffding bounds to assess coherence of pooled evidence, and examines the identifiability of latent disease structure under disease-selected sampling. The manuscript is provided as a research preprint.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-27
DOI
https://doi.org/10.5281/zenodo.21627541
Primary Topic
Connective tissue disorders research
Type
article
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article

Symptom-conditioned prediction of comorbidity in the hEDS–POTS–MCAS triad

Kyriakos Papas, Advay Banerji
Zenodo (CERN European Organization for Nuclear Research)
Connective tissue disorders research
article

Symptom-conditioned prediction of comorbidity in the hEDS–POTS–MCAS triad

Kyriakos Papas, Advay Banerji
article en

Abstract

Bayesian hierarchical meta-analysis of published evidence examining comorbidity within the hypermobile Ehlers-Danlos syndrome (hEDS), postural orthostatic tachycardia syndrome (POTS), and mast cell activation syndrome (MCAS) triad. Using aggregate cohort data from 22 published studies, this work estimates directed comorbidity probabilities, evaluates symptom-conditioned prediction using Bayesian updating, introduces a feasibility screen based on the Fréchet–Hoeffding bounds to assess coherence of pooled evidence, and examines the identifiability of latent disease structure under disease-selected sampling. The manuscript is provided as a research preprint.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 9%
Connective tissue disorders research
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