Development of cohort definitions and algorithms to identify patients with Lennox-Gastaut syndrome or Dravet syndrome from real-world administrative healthcare databases.

Shah D, Divino V, Chen J, Benitez A, Roth J, Andrews JS

Open source

DOI
10.1016/j.heliyon.2024.e41486
Published
2025 Feb 15
Container
Heliyon
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.heliyon.2024.e41486,
  title = {Development of cohort definitions and algorithms to identify patients with Lennox-Gastaut syndrome or Dravet syndrome from real-world administrative healthcare databases.},
  author = {Shah D and Divino V and Chen J and Benitez A and Roth J and Andrews JS},
  year = {2025},
  journal = {Heliyon},
  doi = {10.1016/j.heliyon.2024.e41486},
  url = {https://doi.org/10.1016/j.heliyon.2024.e41486}
}

RIS

TY  - JOUR
TI  - Development of cohort definitions and algorithms to identify patients with Lennox-Gastaut syndrome or Dravet syndrome from real-world administrative healthcare databases.
AU  - Shah D
AU  - Divino V
AU  - Chen J
AU  - Benitez A
AU  - Roth J
AU  - Andrews JS
PY  - 2025
JO  - Heliyon
DO  - 10.1016/j.heliyon.2024.e41486
UR  - https://doi.org/10.1016/j.heliyon.2024.e41486
ER  - 

APA

D, S., V, D., J, C., A, B., J, R., & JS, A. (2025). Development of cohort definitions and algorithms to identify patients with Lennox-Gastaut syndrome or Dravet syndrome from real-world administrative healthcare databases.. Heliyon. https://doi.org/10.1016/j.heliyon.2024.e41486

Source records