Evidence map›Paper›PMID 38978527›Full record

ReviewJournal of epilepsy research2024

Modified Atkins Diet in Adolescents and Adults with Drug Resistant Epilepsy: A Systematic Review and Meta-Analysis.

Mala Manral, Shashank Tripathi, Dimple Rawat, Manjari Tripathi

Abstract readReview
In one paragraph

Review in Journal of epilepsy research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
–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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. 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.

Mala ManralDepartment of Neurology, All India Institute of Medical Science, New Delhi, India.
Shashank TripathiDepartment of Community Medicine (Biostatistics), University College of Medical Sciences, New Delhi, India.
Dimple RawatDepartment of Obstetrics and Gynaecology, All India Institute of Medical Sciences, New Delhi, India.
Manjari TripathiDepartment of Neurology, All India Institute of Medical Science, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epilepsy is one of the common neurological diseases which affects 65-70 million people worldwide. Modified Atkins diet (MAD) as a therapy is used as one of the treatments to reduce the seizures occurrence in epileptic patients. The purpose of this purpose is to review all evidence regarding the efficacy of the MAD from randomized controlled trials (RCTs) in adolescents and adults with drug resistant epilepsy (DRE). The total of three databases were searched (PubMed, Embase, and Cochrane Library) till 31 January 2023. Only RCTs with MAD as a one of the treatment arms were included in meta-analysis. The proportion of reduction of seizures in patients with epilepsy and relative risk to identify the relationship between MAD (as risk) to decrease the epileptic seizure was used as outcomes. The Jadad score with three domains was used to estimate the quality of RCTs included for meta-analysis. Only three RCTs were included following the stringent inclusion criteria in current meta-analysis. The pooled proportion from 142 patients going through MAD therapy shows the reduction in epileptic seizure ≥50%, by the random effect model was 0.23 (95% confidence interval [CI], 0.10 to 0.37). Our meta-analysis underlines a significant efficacy of MAD compared to the control group in seizure reduction ≥50%, The pooled relative risk was 6.47 (95% CI, 1.60 to 26.14;

Indexed as

Drug resistant epilepsyMADMeta-analysisRandomized control trialsRelative risk

Identifiers

PMID38978527
PMCPMC11227925

What OpenQuestion holds

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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.