Evidence map›Paper›PMID 41313034›Full record

ArticleAnnals of Indian Academy of Neurology2025

Agreement Between a Questionnaire-Based Tool and Experienced Pediatric Neurologists in Classifying Seizure Types in Children with Epilepsy.

Puneet Kumar Choudhary, Richa Tiwari, Prabhjot Kaur, Shivam Bansal, Gopal Puri, P Srividya, Satwik Pasani, Gautam Kamila, Prashant Jauhari, Biswaroop Chakrabarty and 4 more

Abstract read
In one paragraph

Article in Annals of Indian Academy of Neurology, 2025. 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

14 authors.

Puneet Kumar ChoudharyDepartment of Pediatrics, All India Institute of Medical Sciences, New Delhi, India.
Richa TiwariDepartment of Pediatrics, All India Institute of Medical Sciences, New Delhi, India.
Prabhjot KaurDepartment of Pediatrics, All India Institute of Medical Sciences, New Delhi, India.
Shivam BansalDepartment of Pediatrics, All India Institute of Medical Sciences, New Delhi, India.
Gopal PuriDepartment of Pediatrics, All India Institute of Medical Sciences, New Delhi, India.
P SrividyaDepartment of Pediatrics, All India Institute of Medical Sciences, New Delhi, India.
Satwik PasaniDepartment of Pediatrics, All India Institute of Medical Sciences, New Delhi, India.
Gautam KamilaDepartment of Pediatrics, All India Institute of Medical Sciences, New Delhi, India.
Prashant JauhariDepartment of Pediatrics, All India Institute of Medical Sciences, New Delhi, India.
Biswaroop ChakrabartyDepartment of Pediatrics, All India Institute of Medical Sciences, New Delhi, India.
Rakesh LodhaDepartment of Pediatrics, All India Institute of Medical Sciences, New Delhi, India.
Ravindra Mohan PandeyDepartment of Biostatistics, All India Institute of Medical Sciences, New Delhi, India.
Vinod Kumar PaulDepartment of Pediatrics, All India Institute of Medical Sciences, New Delhi, India.
Sheffali GulatiDepartment of Pediatrics, All India Institute of Medical Sciences, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesAccurate identification of the seizure type and prompt initiation of appropriate treatment are crucial in reducing the morbidity and mortality associated with epilepsy. In this observational study, our objective was to develop a questionnaire-based tool to assist in recognizing seizure types based on the International League Against Epilepsy (ILAE) 2017 classification system. Additionally, the study assessed the level of agreement between pediatric neurologists (PNs) and this tool.

methodsSix additional questions were added to the existing, validated AIIMS modified International Clinical Epidemiology Network diagnostic instrument for epilepsy. These questions were designed to encompass all seizure types outlined in the ILAE 2017 classification scheme. Two pediatric postgraduate residents (PGs) and four undergraduate interns were trained to classify seizures using the tool. The classification of seizure semiology by PGs and undergraduate interns was performed verbatim using the tool. PNs used their clinical experience for seizure classification and served as the gold standard for comparison. The seizure classification by the tool was compared with the classification of three pediatric PNs using kappa agreement.

resultsA total of 144 children (97 males) with confirmed epilepsy were enrolled. The kappa agreement between PGs and PNs was 0.52 at the first level (broad categorization of seizure type as per the ILAE classification) and 0.28 at the second level (detailed categorization of seizure type as per the ILAE classification). Between interns and PNs, the kappa agreement was 0.45 at the first level and 0.30 at the second level.

conclusionsThe tool is appropriate for the broad classification of seizures into generalized, focal, multiple, and unclassified seizure types. However, for detailed seizure classification as per the ILAE 2017 classification, more extensive training may be required.

Indexed as

ILAE 2017 seizure classificationinter-observer agreementSeizure

Identifiers

PMID41313034
PMCPMC12798884

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.