Evidence map›Paper›PMID 41885712›Full record

ArticleEpilepsia2026

Underutilization of syndrome-specific ICD-10 codes for genetic epilepsies: Implications for precision medicine.

Émile Moura Coelho da Silva, Tobias Brünger, Gary Taylor, Mousumi Sinha, Alison Merket, Anu Cherukara, Sunanjay Bajaj, Jessica Clark, Ludovica Montanucci, Emily A Huth and 6 more

Abstract read
In one paragraph

Article in Epilepsia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Émile Moura Coelho da SilvaDepartment of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA.ORCID https://orcid.org/0000-0002-4728-347X
Tobias BrüngerDepartment of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Gary TaylorDepartment of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Mousumi SinhaDepartment of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Alison MerketDepartment of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Anu CherukaraDepartment of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA.ORCID https://orcid.org/0009-0007-2382-0633
Sunanjay BajajDepartment of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA.ORCID https://orcid.org/0000-0001-7660-3607
Jessica ClarkUniversity of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, Texas, USA.
Ludovica MontanucciDepartment of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA.ORCID https://orcid.org/0000-0003-2375-7359
Emily A HuthDepartment of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA.ORCID https://orcid.org/0009-0007-0521-471X
Mariana FauteuxDepartment of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Samden D LhatooDepartment of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Christian M BoßelmannDepartment for Neurology and Epileptology, member of European Reference Network EpiCARE, Hertie Institute for Clinical Brain Research and Hertie Center of Neurology, University Hospital Tübingen, Tübingen, Germany.ORCID https://orcid.org/0000-0002-1596-5599
Costin LeuDepartment of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Rahil A TaiDepartment of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Dennis LalDepartment of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA.ORCID https://orcid.org/0000-0002-5173-9636

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Syndrome-specific International Classification of Diseases, 10th Revision (ICD-10) codes have the potential to improve identification of patients for precision therapies, clinical trials, and research, yet their real-world uptake is not well characterized. We evaluated the utilization of syndrome-specific ICD-10 codes at a large academic medical center among patients with pathogenic or likely pathogenic variants in 10 monogenic epilepsy genes with established codes (CDKL5, EHMT1, KCNQ2, MECP2, MED13L, SCN1A, SHANK3, SLC13A5, SLC2A1, SYNGAP1). Patients were identified from an institutional genetic testing database and were included if they had at least one clinical encounter after code implementation or genetic diagnosis. Variants of uncertain significance were manually curated, and Rett and Dravet phenotypes were reviewed for accuracy. Of 83 patients with qualifying variants, 39 met inclusion criteria. Only 56.4% (22/39) were ever assigned a syndrome-specific ICD-10 code, which appeared in 31.1% of encounters and accounted for 14.5% of all documented codes. Uptake varied by syndrome, provider specialty, and encounter type and increased over time. In the Dravet syndrome subgroup (n = 23), generic epilepsy codes were documented more than twice as often as the Dravet-specific code (G40.83). When G40.83 was documented, other epilepsy codes were used less frequently, suggesting it may be treated as a substitute for broader epilepsy codes. These findings demonstrate inconsistent and limited adoption of syndrome-specific ICD-10 codes, highlighting the need for improved coding support and integration of structured genetic data within the electronic health record.

Indexed as

EpilepsyInternational Classification of DiseasesPrecision MedicineChildFemaleHumansMalediagnosis codeselectronic health recordsgenetic epilepsyprecision medicinerare disease

Identifiers

PMID41885712
PMCPMC13179662

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.