Evidence map›Paper›PMID 32712376›Full record

ArticleSeizure2020

Feasibility and effectiveness of teleconsultation in children with epilepsy amidst the ongoing COVID-19 pandemic in a resource-limited country.

Prateek Kumar Panda, Lesa Dawman, Pragnya Panda, Indar Kumar Sharawat

Open access · greenAbstract read
In one paragraph

Article in Seizure, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 5 pooled it
6.5field-weighted citation impact, top 2% of its field
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

37 citing papers in PubMed, 5 syntheses or guidelines pooled it, 80 citations in OpenAlex.

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  5. COVID-19, de novo seizures, and epilepsy: a systematic review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021
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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

4 authors at 3 institutions in 1 country.

Prateek Kumar PandaPediatric Neurology Division, Department of Pediatrics, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, 249203, India.
Lesa DawmanDepartment of Pediatrics, Post Graduate Institute of Medical Education and Research, Chandigarh, 160012, India.
Pragnya PandaDepartment of Medicine, SCB Medical College, Cuttack, Odisha, India.
Indar Kumar SharawatPediatric Neurology Division, Department of Pediatrics, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, 249203, India. Electronic address: sherawatdrindar@gmail.com.
Sriram Chandra Bhanja Medical College Hospital · INAll India Institute of Medical Sciences Rishikesh · INPost Graduate Institute of Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe ongoing COVID-19 pandemic and the lockdown measures employed by the government have forced neurologists across the world to look upon telemedicine as the only feasible and practical option to continue providing health care towards children with epilepsy in home isolation. Children with epilepsy are challenging for teleconsultation as direct information from the patient is missing, regarding seizures and adverse effects, especially behavioral and psychological side effects.

methodsClinical and epilepsy-related details of telephonic consultations for children 1 month-18 years, performed between 26th March and 17th May 2020 in a tertiary care teaching hospital in Uttarakhand (a state of India known for hilly terrains with low per capita income) were recorded. Suitable changes in the dose/commercial brand of antiepileptic drug (AED) regimen were performed, along with the addition of new AED and referral to local practitioners for immediate hospitalization, when urgent health care issues were detected. Voice call, text message, picture/video message, and all other possible measures were employed to accumulate maximum clinical information in real-time.

resultsA total of 153 children(95 males [62 %], 9.45 ± 3.24 years, 140 lower/middle socioeconomic status) were enrolled after screening 237 children with various neurological disorders, whose caregivers contacted for teleconsultation. A total of 278 telephone consultations performed for these 153 children (1-5 telephone calls per patient). Hundred-thirteen children were identified to have a total of 152 significant clinical events (breakthrough seizure/uncontrolled epilepsy (108), AED related (13), and unrelated systemic adverse effects (24), worsening of associated co-morbidities (7). In rest of the patients, the query of the caregiver included unavailability of AED/prescribed commercial brand in the locality, query related to the dose of drugs, proxy for a scheduled routine visit (no active issues), and concern regarding COVID-19 related symptoms and effect of COVID-19 and lockdown in children with epilepsy. Ninety-three (60 %) patients required hiking up of AED dose, whereas 29 (17 %) patients required the addition of a new AED/commercial brand. Five children were advised immediate admission to a nearby hospital. Overall, 147 (96 %) caregivers were satisfied with the quality of medical advice.

conclusionTeleconsultation is one of the few feasible options with good effectiveness for providing medical advice to children with epilepsy during pandemic times.

Indexed as

Coronavirus InfectionsPandemicsPneumonia, ViralAdolescentAnticonvulsantsBetacoronavirusChildChild, PreschoolCOVID-19Disease ManagementEpilepsyFeasibility StudiesFemaleHealth ResourcesHospitalizationHospitals, TeachingAnticonvulsantsAntiepileptic drugsChild neurologyCOVID-19EpilepsyTeleconsultation

Identifiers

PMID32712376
PMCPMC7368411
OpenAlexW3042401556

What OpenQuestion holds

Textmetadata
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.