Evidence map›Paper›PMID 40692559›Full record

ArticleFrontiers in neurology2025

Fatigue and its correlation with anxiety and depression in patients with multiple sclerosis in China.

Han Wang, Rongrong Wang, Runze Zhao, Gaopan Zhang, Guoxun Zhang, Xiongfei Zhao

Abstract read
In one paragraph

Article in Frontiers in neurology, 2025. 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. Article
  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

6 authors.

Han WangDepartment of Neurology, Yan'an University Medical College No. 3 Affiliated Hospital, Xianyang, China.
Rongrong WangDepartment of Neurology, Yan'an University Medical College No. 3 Affiliated Hospital, Xianyang, China.
Runze ZhaoDepartment of Ophthalmology, Xijing Hospital, Air Force Medical University, Xi'an, China.
Gaopan ZhangDepartment of Neurology, Yan'an University Medical College No. 3 Affiliated Hospital, Xianyang, China.
Guoxun Zhang *Department of Neurology, Yan'an University Medical College No. 3 Affiliated Hospital, Xianyang, China.
Xiongfei Zhao *Department of Neurology, Yan'an University Medical College No. 3 Affiliated Hospital, Xianyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Multiple Sclerosis (MS) is a chronic, progressive, immune-mediated disease of the central nervous system. Fatigue is a common and disabling symptom in patients with MS (PwMS). Some psychological factors, such as depression, stress, and anxiety, also appear to be related to these issues. Objectives: The study aimed to investigate the fatigue conditions of PwMS in China and its influencing factors, as well as to explore the correlation between fatigue with anxiety and depression. Methods: This study was a cross-sectional study conducted through the Internet, which collected demographic characteristics, clinical data, Modified Fatigue Impact Scale (MFIS), Beck Anxiety Inventory (BAI), and Beck Depression Inventory-II (BDI-II). Results: A total of 366 PwMS were included in this study. MFIS showed a median fatigue total score of 40.0 (interquartile range [IQR] 26.0-52.0), with 55.7% ( Conclusion: The prevalence of fatigue among Chinese PwMS is 55.7%. Age, education, employment, marital status, type of disease, and disease duration are all factors influencing the fatigue rate in PwMS. Fatigue in PwMS exhibit strong positive correlations with depression and anxiety.

Indexed as

anxietydepressionepidemiologyfatiguemultiple sclerosis

Identifiers

PMID40692559
PMCPMC12277153

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.