Evidence map›Paper›PMID 41473656›Full record

ArticleFrontiers in aging neuroscience2025

HALP, PIV, and SII as novel composite inflammatory indices for early detection and severity assessment of Alzheimer's disease.

Chao Huang, Chenxi Lu, Shuai Liu, Fanshu Dai, Dilraba Mahmut, Hezhen Gao, Yong Ji, Biao Zhang

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

8 authors.

Chao HuangDepartment of Clinical Laboratory, Huanhu Hospital Affiliated to Tianjin Medical University, Tianjin, China.
Chenxi LuDepartment of Clinical Laboratory, Huanhu Hospital Affiliated to Tianjin Medical University, Tianjin, China.
Shuai LiuDepartment of Neurology, Huanhu Hospital Affiliated to Tianjin Medical University, Tianjin, China.
Fanshu DaiDepartment of Clinical Laboratory, Huanhu Hospital Affiliated to Tianjin Medical University, Tianjin, China.
Dilraba MahmutDepartment of Clinical Laboratory, Huanhu Hospital Affiliated to Tianjin Medical University, Tianjin, China.
Hezhen GaoDepartment of Clinical Laboratory, Huanhu Hospital Affiliated to Tianjin Medical University, Tianjin, China.
Yong JiDepartment of Neurology, Huanhu Hospital Affiliated to Tianjin Medical University, Tianjin, China.
Biao ZhangDepartment of Clinical Laboratory, Huanhu Hospital Affiliated to Tianjin Medical University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to evaluate the diagnostic and prognostic value of the Hemoglobin, Albumin, Lymphocyte, and Platelet (HALP) Score, the Pan-Immune-Inflammation Value (PIV), and the Systemic-Immune-Inflammation Index (SII) in Alzheimer's disease (AD), exploring their association with dementia severity and their potential utility in diagnosis and monitoring disease progression. Methods: In a retrospective case-control study, 261 AD patients and 176 healthy controls were enrolled. Propensity score matching (PSM) generated a balanced cohort of 176 patient-control pairs. Demographic, clinical, and hematologic variables were collected, including HALP, PIV, and SII, and dementia severity was assessed using the mini-mental state examination (MMSE). Univariate and multivariate logistic regression analyses were performed to identify independent risk factors for AD, while spearman's correlation and receiver operating characteristic (ROC) curve analysis with bootstrap internal validation were used to evaluate the biomarker's performance. Results: Following matching, AD patients exhibited significantly lower HALP and higher PIV and SII levels indicating a chronic pro-inflammatory state. HALP, PIV, and SII showed gradual but non-significant changes with dementia severity. HALP exhibited inverse correlation trend with dementia severity, though it did not reach statistical significance. Logistic regression identified education level and elevated neutrophil counts as independent risk factors of AD. ROC analysis revealed modest diagnostic performance for indices (AUC from 0.627 to 0.655), while combination of them did not significantly improve the diagnostic power. Conclusion: HALP, PIV, and SII are promising blood-based biomarkers for AD diagnosis and progression monitoring. HALP may help track disease progression. These low cost, accessible composite inflammatory indices offer potential as adjunct tools for early detection and severity assessment in AD, especially in resource limited settings.

Indexed as

Alzheimer’s diseasebiomarkersdementia severityinflammatory indicesneuroinflammation

Identifiers

PMID41473656
PMCPMC12745467

What Socratic 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 Socratic graph.