Evidence map›Paper›PMID 35359575›Full record

ArticleFrontiers in molecular neuroscience2022

Clinical and Functional Features of Epilepsy-Associated In-Frame Deletion Variants in

Jing-Yang Wang, Bin Tang, Wen-Xiang Sheng, Li-Dong Hua, Yang Zeng, Cui-Xia Fan, Wei-Yi Deng, Mei-Mei Gao, Wei-Wen Zhu, Na He and 1 more

Abstract read
In one paragraph

Article in Frontiers in molecular neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Identification of five novelFrontiers in behavioral neuroscience · 2023
    Article
  4. 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

11 authors.

Jing-Yang WangInstitute of Neuroscience, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Bin TangInstitute of Neuroscience, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Wen-Xiang ShengInstitute of Neuroscience, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Li-Dong HuaTranslational Medicine Center, Maternal and Child Health Research Institute, Guangdong Women and Children's Hospital, Guangzhou, China.
Yang ZengInstitute of Neuroscience, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Cui-Xia FanInstitute of Neuroscience, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Wei-Yi DengInstitute of Neuroscience, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Mei-Mei GaoInstitute of Neuroscience, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Wei-Wen ZhuDepartment of Neurology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Na HeDepartment of Neurology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Tao SuInstitute of Neuroscience, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Naturally occurring in-frame deletion is a unique type of genetic variations, causing the loss of one or more amino acids of proteins. A number of in-frame deletion variants in an epilepsy-associated gene Methods: We summarized the basic information of forty-four Results: Reviewing all the in-frame deletions showed that they spread over the entire Na Significance: The complete loss-of-function in these shortened, abnormal mutants indicates that Na

Indexed as

epilepsyin-frame deletionSCN1Asodium channelvariant

Identifiers

PMID35359575
PMCPMC8964123

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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.