Evidence map›Paper›PMID 42528798›Full record

ArticleFrontiers in neurology

A modified frailty index to identify high-risk groups for amyotrophic lateral sclerosis.

Xuecai Gao, Sheng Chen, Sarwara Mahabub, Baokun Cao, Jiahe Deng, Weimin Ye, Haomin Yang, Zhangyu Zou

Abstract read
In one paragraph

Article in Frontiers in neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xuecai Gao *Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Sheng Chen *Department of Neurology, Fujian Medical University Union Hospital, Fuzhou, China.
Sarwara Mahabub *Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Baokun CaoDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Jiahe DengDepartment of Neurology, Fujian Medical University Union Hospital, Fuzhou, China.
Weimin YeDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Haomin YangDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Zhangyu ZouDepartment of Neurology, Fujian Medical University Union Hospital, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Amyotrophic lateral sclerosis (ALS) is a motor neuron disease characterized by progressive muscle weakness and poor prognosis, which requires early detection to optimize therapeutic outcomes. This study aims to develop a risk stratification tools for ALS and to assist in identifying high-risk groups. Methods: A prospective cohort study was conducted using the UK Biobank (500,033 participants), which were split into training sets and validation sets. We calculated the frailty index (FI) and modified frailty index (MFI) for the participants and estimated their association with ALS. Finally, two risk stratification tools were constructed and the time-dependent ROC curve was utilized to evaluate the discriminatory performance of each model. Results: Among the 49 deficits in FI, we identified five deficits that were significantly associated with ALS, including falls, whole-body pain, long-standing illness, disability or infirmity, self-rated health and tiredness or lethargy in last 2 weeks, which together constructed the MFI. Both the FI and MFI were associated with a higher risk of ALS (HR Conclusion: By focusing on deficits associated with ALS, the MFI may improve the ability to identify individuals at elevated risk of the disease. It could therefore serve as a valuable screening tool for risk stratification in the general population.

Indexed as

ALSfrailtymodified frailty indexrisk stratification toolsUK Biobank

Identifiers

PMID42528798
PMCPMC13414953

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