Evidence map›Paper›PMID 42553428›Full record

ArticleFrontiers in aging neuroscience2026

Can smoking history, peripheral inflammation, and nutritional status discriminate Parkinson's disease? Development and validation of a clinically accessible nomogram.

Ke-Ting Liu, Ze-Min He, Li-Hao Zhang, Li Xiao, Ling-Qiao He, Yong-Ming Wu

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2026. 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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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ke-Ting LiuDepartment of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Ze-Min HeDepartment of Thoracic Surgery, The First People's Hospital of Shuangliu District (West China Airport Hospital of Sichuan University), Chengdu, Sichuan, China.
Li-Hao ZhangDepartment of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Li XiaoDepartment of Human Anatomy, Development and Regeneration Key Lab of Sichuan Province, Chengdu Medical College, Chengdu, Sichuan, China.
Ling-Qiao HeDepartment of Information, Chengdu Seventh People's Hospital (Affiliated Cancer Hospital of Chengdu Medical College), Chengdu, Sichuan, China.
Yong-Ming WuDepartment of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Parkinson's disease (PD) is a major public health challenge in China, with rising prevalence and limited early diagnostic tools. Systemic inflammation and nutritional status are increasingly recognized as key modulators of PD pathogenesis, but integrated predictive models remain lacking. Objective: To develop and internally validate a simple, clinically accessible nomogram for individualized probability estimation of currently having PD using routinely available demographic, lifestyle, and laboratory parameters. Methods: This retrospective study enrolled 2,221 participants (1,135 PD patients and 1,086 healthy controls) from a single center between December 2023 and December 2025. The cohort was randomly split into a training set ( Results: LASSO regression identified three core associated factors: smoking history, Systemic Immune-Inflammation Index (SII Conclusion: The nomogram developed in this study may help identify individuals with higher probability of PD diagnosis in a cross-sectional setting using only three routine variables (smoking history, SII

Indexed as

discriminative modelnomogramParkinson’s diseasePrognostic Nutritional IndexSystemic Immune-Inflammation Index

Identifiers

PMID42553428
PMCPMC13434004

What Socratic holds

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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 Socratic graph.