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Comment
. 2022 Jan;63(1):254-255.
doi: 10.1111/epi.17129. Epub 2021 Nov 19.

The EpiPick algorithm to select appropriate antiseizure medications in patients with epilepsy: Validation studies and updates

Ali A Asadi-Pooya  1   2 , Sándor Beniczky  3   4 , Guido Rubboli  5   6 , Michael R Sperling  2 , Stefan Rampp  7   8 , Emilio Perucca  9
Affiliations
Comment

The EpiPick algorithm to select appropriate antiseizure medications in patients with epilepsy: Validation studies and updates

Ali A Asadi-Pooya et al. Epilepsia. 2022 Jan.
No abstract available

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References

REFERENCES

    1. Asadi-Pooya AA, Beniczky S, Rubboli G, Sperling MR, Rampp S, Perucca E. A pragmatic algorithm to select appropriate antiseizure medications in patients with epilepsy. Epilepsia. 2020;61:1668-77.
    1. Beniczky S, Asadi-Pooya AA, Perucca E, et al. A web-based algorithm to rapidly classify seizures for the purpose of drug selection. Epilepsia. 2021;62:2474-84.
    1. Beniczky S, Rampp S, Asadi-Pooya AA, Rubboli G, Perucca E, Sperling MR. Optimal choice of antiseizure medication: Agreement among experts and validation of a web-based decision support application. Epilepsia. 2021;62:220-7.
    1. Hadady L, Klivényi P, Perucca E, et al. Web-based decision support system for patient-tailored selection of antiseizure medication in adolescents and adults: An external validation study. Eur J Neurol. 2021. https://doi.org/10.1111/ene.15168. Epub ahead of print. PMID: 34741372.
    1. https://www.accessdata.fda.gov/drugsatfda_docs/label/2019/212839s000lbl.... accessed on 13 April 2021.

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