Evidence map›Paper›PMID 27042456›Full record

ArticleJournal of clinical and diagnostic research : JCDR2016

Visual Evoked Potential Response Among Drug Abusers- A Cross Sectional Study.

Sonia Garg, Rajeev Sharma, Satish Thapar, Shilekh Mittal

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical and diagnostic research : JCDR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 99% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Sonia GargAssociate Professor, Department of Physiology, GGS Medical College , Faridkot, Punjab, India .
Rajeev SharmaProfessor, Department of Physiology, GGS Medical College , Faridkot, Punjab, India .
Satish ThaparAssistant Professor, Department of Psychiatry, GGS Medical College , Faridkot, Punjab, India .
Shilekh MittalAssociate Professor, Department of Forensic Medicine, GGS Medical College , Faridkot, Punjab, India .
Guru Gobind Singh Medical College and Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThere is important preclinical evidence that substance abuse may produce neurophysiological disturbances particularly in relation to altered neural synchronization in Visual Evoked Potentials (VEP).

aimThe purpose of current study was to compare the latencies and amplitudes of different waveforms of VEP among different drug abusers and controls and also to identify early neurological damage so that proper counseling and timely intervention can be undertaken. MATERIALS AND

methodsVEP was assessed by Data Acquisition and Analysis system in a sample of 58 drug abusers, all males, within age group of 15-45 years as well as in age matched 30 healthy controls. The peak latencies and peak to peak amplitudes of different waveforms were measured by applying one-way Anova test and unpaired t-test using SPSS version 16.

resultsIn between drug abusers and controls, the difference in the duration of N75 and P100 waveform of VEP was found to be statistically highly significant (p<0.001) in both the eyes. Also the amplitude of wave P100 was found to be decreased among drug abusers in both eyes.

conclusionChronic intoxication by different drugs has been extensively associated with amplitude reduction of P100 and prolonged latency of N75 and P100 reflecting an adverse effects of drug dependence on neural transmission within primary visual areas of brain.

Indexed as

AmplitudeLatencyVisual stimulus

Identifiers

PMID27042456
PMCPMC4800521
OpenAlexW2319139628

What OpenQuestion holds

Textmetadata
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Registered trials

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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.