Evidence map›Paper›PMID 37184660›Full record

ArticleJournal of neurology2023

Diagnostic and prognostic performance of plasma neurofilament light chain in multiple system atrophy: a cross-sectional and longitudinal study.

Linliu Peng, Linlin Wan, Mingjie Liu, Zhe Long, Daji Chen, Xinrong Yuan, Zhichao Tang, You Fu, Sudan Zhu, Lijing Lei and 14 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
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  8. 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

24 authors at 1 institution in 4 countries.

Linliu Peng *Department of Neurology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Linlin Wan *Department of Neurology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Mingjie Liu *Department of Neurology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Zhe LongDepartment of Neurology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Daji ChenDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Xinrong YuanDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Zhichao TangDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
You FuDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Sudan ZhuDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Lijing LeiDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Chunrong WangDepartment of Pathology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Huirong PengDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Yuting ShiDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Lang HeDepartment of Pathology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Hongyu YuanDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Na WanDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Xuan HouDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Kun XiaCenter for Medical Genetics, School of Life Sciences, Central South University, Changsha, 410008, Hunan, China.
Jinchen LiKey Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, 410008, Hunan, China.
Chao ChenCenter for Medical Genetics, School of Life Sciences, Central South University, Changsha, 410008, Hunan, China.
Rong QiuSchool of Computer Science and Engineering, Central South University, Changsha, 410083, Hunan, China.
Beisha TangDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Zhao ChenDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China. czcf98@126.com.
Hong JiangDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China. jianghong73868@126.com.ORCID http://orcid.org/0000-0003-2812-4120
Central South University · CN

Funding

Central South University Research Programme of Advanced Interdisciplinary Study 2023QYJC010Innovation Research Group Project of Natural Science Foundation of Hunan Province 2020JJ1008Key Research and Development Program of Hunan Province of China 2020SK2064National Key R&D Program of China 2021YFA0805200National Natural Science Foundation of China 81901305National Natural Science Foundation of China 81974176National Natural Science Foundation of China 82171254Natural Science Foundation of Hunan Province 2020JJ5925Natural Science Foundation of Hunan Province 2021JJ40974Natural Science Foundation of Hunan Province 2022JJ20094Natural Science Foundation of Hunan Province 2022JJ40783Project Program of National Clinical Research Center for Geriatric Disorders 2020LNJJ12Science and Technology Innovation Program of Hunan Province 2022RC1027Scientific Research Foundation of Health Commission of Hunan Province B2019183
6 · The paper itself

Abstract

backgroundThe longitudinal dynamics of neurofilament light chain (NfL) in multiple system atrophy (MSA) were incompletely illuminated. This study aimed to explore whether the plasma NfL (pNfL) could serve as a potential biomarker of clinical diagnosis and disease progression for MSA.

methodsWe quantified pNfL concentrations in both a large cross-sectional cohort with 214 MSA individuals, 65 PD individuals, and 211 healthy controls (HC), and a longitudinal cohort of 84 MSA patients. Propensity score matching (PSM) was used to balance the age between the three groups. The pNfL levels between groups were compared using Kruskal-Wallis test. Linear mixed models were performed to explore the disease progression-associated factors in longitudinal MSA cohort. Random forest model as a complement to linear models was employed to quantify the importance of predictors.

resultsBefore and after matching the age by PSM, the pNfL levels could reliably differentiate MSA from HC and PD groups, but only had mild potential to distinguish PD from HC. By combining linear and nonlinear models, we demonstrated that pNfL levels at baseline, rather than the change rate of pNfL, displayed potential prognostic value for progression of MSA. The combination of baseline pNfL levels and other modifiers, such as subtypes, Hoehn-Yahr stage at baseline, was first shown to improve the diagnosis accuracy.

conclusionsOur study contributed to a better understanding of longitudinal dynamics of pNfL in MSA, and validated the values of pNfL as a non-invasive sensitive biomarker for the diagnosis and progression. The combination of pNfL and other factors is recommended for better monitoring and prediction of MSA progression.

Indexed as

Multiple System AtrophyParkinson DiseaseBiomarkersCross-Sectional StudiesDisease ProgressionHumansIntermediate FilamentsLongitudinal StudiesNeurofilament ProteinsPrognosisBiomarkersNeurofilament ProteinsBiomarkerDiagnosisMultiple system atrophyParkinson’s diseasePlasma neurofilament light chainPrediction

Identifiers

PMID37184660
OpenAlexW4376617707

What OpenQuestion holds

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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.