Enhancing rare disease guideline development with real-world data: a method evaluation

Real-world data collection can contribute to quality improvement for rare diseases in several ways. To evaluate a method developed to integrate real-world evidence in guidelines addressing rare diseases (REGARD). A guideline on omphalocele was developed following the GIN-McMaster Guidelines 2.0 checklist. After the guideline panel selected clinical questions, systematic literature searches were performed. When published evidence was scarce, REGARD was introduced. Data from the European Pediatric Surgical Audit (EPSA) patient registry was provided to clinical experts after which they noted their observations of treatment effect in structured observation forms (SOFs). Feasibility, added value and acceptability of REGARD were evaluated using a cross-sectional study design. EPSA data were available for seven of the twelve clinical questions selected for this guideline (58%). In 4/7 clinical questions (57%), REGARD contributed to the panels’ decision on a recommendation. Reasons to disregard the supplementary evidence during the formation of a recommendation were: uncertainty about the validity of the observations due to small sample sizes and doubt about the association between the observed outcomes and the intervention because the registry data lacked information on the clinical indication for a chosen treatment. This study evaluates a method to connect real-world data collection to guideline development in rare diseases, highlighting both the challenges and benefits this method has to offer. Although the methodology requires refinement and the EPSA registry must be optimized, we believe it holds significant promise as a tool for developing guidelines for rare diseases.

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Publication Details

Journal
BMC Medical Research Methodology
Published
2026-02-14
DOI
https://doi.org/10.1186/s12874-026-02802-7
Citations
1
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
30.93
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article

Enhancing rare disease guideline development with real-world data: a method evaluation

Carmen Mesas Burgos, Olivia K.C. Spivack, Lola Kamp, Willemijn F. E. Irvine et al.
1 citations
BMC Medical Research Methodology
Genomics and Rare Diseases
30.93
article

Enhancing rare disease guideline development with real-world data: a method evaluation

Carmen Mesas Burgos, Olivia K.C. Spivack, Lola Kamp, Willemijn F. E. Irvine, Charlotte M. W. Gaasterland, Roel Bakx, Rene Wijnen, Alexandra Benachi
article en
1 citations

Abstract

Real-world data collection can contribute to quality improvement for rare diseases in several ways. To evaluate a method developed to integrate real-world evidence in guidelines addressing rare diseases (REGARD). A guideline on omphalocele was developed following the GIN-McMaster Guidelines 2.0 checklist. After the guideline panel selected clinical questions, systematic literature searches were performed. When published evidence was scarce, REGARD was introduced. Data from the European Pediatric Surgical Audit (EPSA) patient registry was provided to clinical experts after which they noted their observations of treatment effect in structured observation forms (SOFs). Feasibility, added value and acceptability of REGARD were evaluated using a cross-sectional study design. EPSA data were available for seven of the twelve clinical questions selected for this guideline (58%). In 4/7 clinical questions (57%), REGARD contributed to the panels’ decision on a recommendation. Reasons to disregard the supplementary evidence during the formation of a recommendation were: uncertainty about the validity of the observations due to small sample sizes and doubt about the association between the observed outcomes and the intervention because the registry data lacked information on the clinical indication for a chosen treatment. This study evaluates a method to connect real-world data collection to guideline development in rare diseases, highlighting both the challenges and benefits this method has to offer. Although the methodology requires refinement and the EPSA registry must be optimized, we believe it holds significant promise as a tool for developing guidelines for rare diseases.

BMC Medical Research MethodologyVol. 26(1)
Karolinska University Hospital (SE), Université Paris-Saclay (FR), Leiden University Medical Center (NL), Emma Kinderziekenhuis (NL), Dutch Institute for Clinical Auditing (NL), Erasmus MC - Sophia Children’s Hospital (NL), National Evidenc- based healthcare Collaborating Agency (KR), Hôpital Antoine-Béclère (FR), Amsterdam University Medical Centers (NL)
Partnerships for the goals
Openalex Percentile: Top 1%
Genomics and Rare Diseases
30.93
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