Evidence map›Paper›PMID 24101814›Full record

ArticleAnnals of Indian Academy of Neurology2013

Pattern of seizure cases in tertiary care hospitals in Karnataka state of India.

Nitin Joseph, Ganesh S Kumar, Maria Nelliyanil

Open access · diamondAbstract read
In one paragraph

Article in Annals of Indian Academy of Neurology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Profile of epilepsy in a regional hospital in Al qassim, saudi arabia.International journal of health sciences · 2014
    Article
  3. Epilepsy in India I: Epidemiology and public health.Annals of Indian Academy of Neurology
    Review
  4. Review
  5. Article
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 at 2 institutions in 2 countries.

Nitin JosephDepartment of Community Medicine, Kasturba Medical College, Manipal University, Mangalore, Karnataka, India.
Ganesh S Kumar
Maria Nelliyanil
Christie's · GBKasturba Medical College, Manipal · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence and incidence of epilepsy is higher in developing countries than in developed countries. Understanding pattern and risk factors of seizure cases will help in suggesting appropriate preventive measures.

objectivesThis study was carried out to assess the pattern of seizure, its management and compliance with treatment. MATERIALS AND

methodsData from medical records of seizure cases in three tertiary care hospitals of Mangalore city in south India admitted from January 2006 to December 2011 were collected and analyzed.

resultsNearly half (44.4%) of the 196 cases belonged to productive age group (15-45 years) and 2/3(rd) (60.7%) were males. Majority (>80% cases) were unskilled workers and of low socio-economic status groups. Family history of seizures was present in 8.4% cases. Mean age of onset of seizure was found to be 19.9 years. Proportion of generalized tonic clonic seizure cases was 78.1%. Secondary seizures were seen in 66 (33.7%) cases with the most common cause being trauma to the head (24.2%). Refractory seizures were present in 2.7% cases. Monotherapy was the most commonly followed treatment regimen and phenytoin was the most popular anti-epileptic drug (AED) used. Non-compliance with AEDs was seen in 18.1% cases and was more among patients on polytherapy (P = 0.032).

conclusionSeizure manifestations and treatment compliance vary widely in the studied population. In depth analysis of each seizure type will give more information about the factors associated with it.

Indexed as

Compliancehospital basedrisk factorsseizurestreatment

Identifiers

PMID24101814
PMCPMC3788278
OpenAlexW2069381354

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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.