Evidence map›Paper›PMID 34025336›Full record

ArticleFrontiers in neuroscience2021

Mutation Screening of the

Yanran Li, Bo Sun, Zhanjun Wang, Zhengqing He, Fei Yang, Hongfen Wang, Fang Cui, Zhaohui Chen, Li Ling, Chaodong Wang and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neuroscience, 2021. 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
0.1field-weighted citation impact, top 54% 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, 1 citations in OpenAlex.

  1. Review
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 at 2 institutions in 1 country.

Yanran LiNeurological Department of the First Medical Center, Chinese PLA General Hospital, Beijing, China.
Bo SunGeriatric Neurological Department of the Second Medical Center, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
Zhanjun WangDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Zhengqing HeNeurological Department of the First Medical Center, Chinese PLA General Hospital, Beijing, China.
Fei YangNeurological Department of the First Medical Center, Chinese PLA General Hospital, Beijing, China.
Hongfen WangNeurological Department of the First Medical Center, Chinese PLA General Hospital, Beijing, China.
Fang CuiNeurological Department of the First Medical Center, Chinese PLA General Hospital, Beijing, China.
Zhaohui ChenNeurological Department of the First Medical Center, Chinese PLA General Hospital, Beijing, China.
Li LingNeurological Department of the First Medical Center, Chinese PLA General Hospital, Beijing, China.
Chaodong WangDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Xusheng HuangNeurological Department of the First Medical Center, Chinese PLA General Hospital, Beijing, China.
Chinese PLA General Hospital · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amyotrophic lateral sclerosis (ALS) is a fatal progressive neurodegenerative disease involving the upper and lower motor neurons of the spinal cord, brainstem, and cerebral cortex. At least 30 genes have been implicated in familial ALS (fALS) and sporadic ALS (sALS). Kaneb et al. (2015) first carried out a large-scale sequencing study in ALS patients and identified two loss-of-function (LOF) variants in the

Indexed as

amyotrophic lateral sclerosisGLE1loss-of-function mutationoligogenic inheritance of ALSOPTN

Identifiers

PMID34025336
PMCPMC8131544
OpenAlexW3159879214

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.