Evidence map›Paper›PMID 32518102›Full record

ArticleClinical medicine (London, England)2020

Epilepsy care in the COVID-19 era.

Guleed H Adan, James W Mitchell, Tony Marson

Abstract read
In one paragraph

Article in Clinical medicine (London, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
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  5. Review
  6. Article
  7. Article
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  9. Article
  10. Epilepsy surgery in COVID times-a unique conundrum.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2021
    Article
  11. Article
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  17. Review
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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

3 authors.

Guleed H AdanInstitute of Systems, Molecular and Integrative Biology, Liverpool, UK and The Walton Centre NHS Foundation Trust, Liverpool, UK guleed.adan@liverpool.ac.uk.
James W MitchellInstitute of Systems, Molecular and Integrative Biology, Liverpool, UK and The Walton Centre NHS Foundation Trust, Liverpool, UK.
Tony MarsonInstitute of Systems, Molecular and Integrative Biology, Liverpool, UK and The Walton Centre NHS Foundation Trust, Liverpool, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic will impact on how care for chronic conditions is delivered. We use epilepsy to exemplify how care for patients will be affected, and suggest ways in which healthcare systems can respond to deliver the most effective care. Where face-to-face outpatient appointments have been cancelled, telemedicine can facilitate remote clinical consultations for new and follow-up epilepsy clinic patients while reducing the risk of infection to both patients and healthcare staff. First-seizure patients will need investigation pathways rationalised, while those with chronic epilepsy will need to have reliable alternative avenues to access clinical advice. At the same time, neurologists should support emergency departments and acute medical units, advising on appropriate management of seizures and other acute neurological presentations. Ultimately, the revolution in our clinical practice is unlikely to cease after this pandemic, with reconfiguration of services likely to bring improvements in efficiency and convenience, and a reduced environmental impact.

Indexed as

TelemedicineAnticonvulsantsChronic DiseaseCoronavirus InfectionsCOVID-19Emergency Service, HospitalEpilepsyHumansNeurologyPandemicsPneumonia, ViralReferral and ConsultationAnticonvulsantsCOVID-19epilepsyhealthcare systemsseizurestelemedicine

Identifiers

PMID32518102
PMCPMC7385807

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.