Registered interventional trials fail to cover patient-prioritised treatments in Post-COVID condition (PCC)
Purpose
Despite the substantial health and socioeconomic burden of Post-COVID condition (PCC), no disease-modifying therapy has been established, largely because of clinical heterogeneity and incompletely understood pathophysiology. Major national and international funding initiatives have been launched in response. Hundreds of interventional trials have investigated PCC, yet patients and their treating physicians largely rely on non-evidence-based treatment options in clinical practice.
Methods
Here we quantify the overlap between the registered trial landscape and patient-led practice. We deduplicated 854 registry records (ClinicalTrials.gov, DRKS, EU-CTR; snapshot 16 July 2026) into 714 unique interventional trials. Interventions were categorised as pharmacological or supportive/non-pharmacological, and endpoints as symptom-oriented or mechanism-oriented according to their therapeutic objective.
Results
Only 51 of 714 trials (7.1%) tested any of the 29 patient-guide treatments; 20 were active. Post-exertional malaise, the cardinal symptom of the ME/CFS-like phenotype, was captured in 57 trials but was a (co-)primary endpoint in only eight. Ten guide treatments - the first-line repertoire for autonomic dysfunction, mast-cell stabilisers, and several repurposed neuro-modulators - had no registered trial in any registry, and the German registry DRKS contributed no guide-relevant trial.
Registered evidence concentrated instead on SARS-CoV-2 antivirals, immunoglobulins and hyperbaric oxygen. Only three of the eight trials with PEM as a (co-)primary endpoint tested an intervention directed at a proposed driver of PEM; none addressed microvascular or bioenergetic mechanisms.
Conclusion
The registered landscape emphasises symptomatic treatment. There is a substantial unmet need for well-powered, mechanism-based, disease-modifying trials with biomarker-driven designs and objective, exertion-based endpoints.
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Gabriel, Marc; Koster, Steffen; Puta, Christian; Katzer, Katrin; Reuken, Philipp A.; Stallmach, Andreas
Purpose
Despite the substantial health and socioeconomic burden of Post-COVID condition (PCC), no disease-modifying therapy has been established, largely because of clinical heterogeneity and incompletely understood pathophysiology. Major national and international funding initiatives have been launched in response. Hundreds of interventional trials have investigated PCC, yet patients and their treating physicians largely rely on non-evidence-based treatment options in clinical practice.
Methods
Here we quantify the overlap between the registered trial landscape and patient-led practice. We deduplicated 854 registry records (ClinicalTrials.gov, DRKS, EU-CTR; snapshot 16 July 2026) into 714 unique interventional trials. Interventions were categorised as pharmacological or supportive/non-pharmacological, and endpoints as symptom-oriented or mechanism-oriented according to their therapeutic objective.
Results
Only 51 of 714 trials (7.1%) tested any of the 29 patient-guide treatments; 20 were active. Post-exertional malaise, the cardinal symptom of the ME/CFS-like phenotype, was captured in 57 trials but was a (co-)primary endpoint in only eight. Ten guide treatments - the first-line repertoire for autonomic dysfunction, mast-cell stabilisers, and several repurposed neuro-modulators - had no registered trial in any registry, and the German registry DRKS contributed no guide-relevant trial.
Registered evidence concentrated instead on SARS-CoV-2 antivirals, immunoglobulins and hyperbaric oxygen. Only three of the eight trials with PEM as a (co-)primary endpoint tested an intervention directed at a proposed driver of PEM; none addressed microvascular or bioenergetic mechanisms.
Conclusion
The registered landscape emphasises symptomatic treatment. There is a substantial unmet need for well-powered, mechanism-based, disease-modifying trials with biomarker-driven designs and objective, exertion-based endpoints.
Web | DOI | PDF | Research Square | Preprint