Evidence map›Paper›PMID 39157316›Full record

ArticleHeliyon2024

Global research trends on the links between NfL and neurological disorders: A bibliometric analysis and review.

Zhengxi Song, Shan Zhang, HongYu Pan, Bingshuang Hu, XinLian Liu, Jia Cui, LuShun Zhang

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  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

7 authors.

Zhengxi SongDepartment of Neurology, The People' s Hospital of Jianyang city, Jianyang, 641400 China.
Shan ZhangSchool of Clinical Medicine, Chengdu Medical College, Chengdu, 610500, China.
HongYu PanSchool of Clinical Medicine, Chengdu Medical College, Chengdu, 610500, China.
Bingshuang HuSchool of Clinical Medicine, Chengdu Medical College, Chengdu, 610500, China.
XinLian LiuDevelopment and Regeneration Key Laboratory of Sichuan Province, Institute of Neuroscience, Department of Pathology and Pathophysiology, Chengdu Medical College, Chengdu, 610500, China.
Jia CuiDevelopment and Regeneration Key Laboratory of Sichuan Province, Institute of Neuroscience, Department of Pathology and Pathophysiology, Chengdu Medical College, Chengdu, 610500, China.
LuShun ZhangDevelopment and Regeneration Key Laboratory of Sichuan Province, Institute of Neuroscience, Department of Pathology and Pathophysiology, Chengdu Medical College, Chengdu, 610500, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The global incidence of neurological diseases has been on the rise, creating an urgent need for a validated marker. Neurofilament Light Chain (NfL) holds promise as such a marker and has garnered significant attention in the field of neurological diseases over the past decades. Methods: Corresponding articles from 2013 to 2023 were collected from the Web of Science database, and data were analyzed by CiteSpace and VOSviewer software. Results: A total of 1350 articles were collected from 296 countries/regions, involving 7246 research organizations. Since 2013, among the top ten institutions and authors with the highest number of published papers, the most are from the US and the UK. The United States leads in the number of published papers, but England holds a more momentous position, because it has higher IF. Henrik Zetterberg is the most influential scholar in the field. Conclusions: The output of papers mainly relies on researchers from developed countries, and scholars from the United States and England have contributed the largest number of papers. Until now, the importance of NfL in neurological diseases has attracted global attention. In addition, NfL contributes to the potential diagnosis of various neurological disorders and can be used to improve the accuracy of differential diagnosis and prognostic assessment as well as predict the response to treatments. More and more in-depth studies are highly needed in the future.

Indexed as

BibliometricsBiomarkersNeurologic diseasesNfLVisualization

Identifiers

PMID39157316
PMCPMC11327529

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.