Related Experiment Video
Updated: Jun 9, 2025

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
GRADE Notes 4: how to use GRADE when there is "no" evidence? A case study of using unpublished registry data
Ibrahim K El Mikati1, Brandy Begin2, Dagmara Borzych-Duzalka3
1Department of Internal Medicine, Johns Hopkins Bayview Medical Center, Baltimore, MD, USA.
When published evidence is lacking for clinical guidelines, using unpublished registry data can generate primary data to answer important questions, especially for rare or vulnerable populations. Transparency in reporting is crucial.
Area of Science:
- Medical Research Methodology
- Evidence-Based Medicine
- Data Science
Background:
- Trustworthy clinical guidelines depend on systematic reviews of published evidence.
- The GRADE Working Group offers guidance for developing recommendations when direct evidence is absent.
- Generating primary data from registries offers an alternative when published literature is insufficient.
Purpose of the Study:
- To present a case example of using registries for primary data generation.
- To address guideline development questions lacking published evidence.
- To explore an alternative to traditional systematic reviews.
Main Methods:
- Utilizing clinical and statistical expertise to leverage available registries for primary data generation.
- Focusing on guideline questions with no direct published literature.
- Applying registry data to answer clinically significant questions.
Main Results:
- Out of 54 guideline questions for pediatric peritoneal dialysis infections, 25 lacked evidence.
- Unpublished registry data provided primary information for 12 of these 25 questions.
- Registry data supplemented existing evidence for an additional nine questions.
Conclusions:
- Generating primary evidence from unpublished registry data is valuable when direct evidence is scarce.
- This approach is particularly beneficial for rare diseases or vulnerable populations.
- Transparency in data reporting and analysis plans is essential when using unpublished data.
More Related Videos
Related Concept Videos
Case Studies
Kaplan-Meier Approach
Observational Studies
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
Introduction to Epidemiology
Clinical Trials
There are four phases in a clinical trial. A phase one...
Comparing the Survival Analysis of Two or More Groups

