Evidence mapPaperPMID 41789335Full record

ArticleReviews in cardiovascular medicine2026

Employment of the Albumin to Alkaline Phosphatase Ratio to Predict All-cause Mortality and Cardiovascular and Cerebrovascular Mortality in Adults Aged At Least 60 Years: An Analysis From NHANES 2003-2018.

Zhen Tan, Mei Zhang, Lei Liu, Shuang Li, Xinrui Xue, Yijun Liu, Hongqiang Ren

Abstract read
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Article in Reviews in cardiovascular medicine, 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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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

The trial behind it

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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

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No citing paper in PubMed yet.

4 · The record

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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

7 authors.

Zhen TanDepartment of Cardiology, Suining Central Hospital, 629000 Suining, Sichuan, China.ORCID https://orcid.org/0009-0004-0871-7943
Mei ZhangDepartment of Cardiology, Suining Central Hospital, 629000 Suining, Sichuan, China.ORCID https://orcid.org/0009-0005-6381-6220
Lei LiuDepartment of Cardiology, Suining Central Hospital, 629000 Suining, Sichuan, China.ORCID https://orcid.org/0009-0006-7400-0718
Shuang LiDepartment of Cardiology, Suining Central Hospital, 629000 Suining, Sichuan, China.ORCID https://orcid.org/0009-0002-6760-8822
Xinrui XueDepartment of Cardiology, Suining Central Hospital, 629000 Suining, Sichuan, China.ORCID https://orcid.org/0009-0008-8014-8393
Yijun LiuDepartment of Cardiology, Suining Central Hospital, 629000 Suining, Sichuan, China.ORCID https://orcid.org/0009-0006-6852-2819
Hongqiang RenDepartment of Cardiology, Suining Central Hospital, 629000 Suining, Sichuan, China.ORCID https://orcid.org/0009-0002-6448-6727

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The relationship between the albumin-to-alkaline phosphatase ratio (AAPR) and all-cause and cardiovascular and cerebrovascular mortalities, in adults aged 60 years and above, remains unclear. Thus, this study aimed to investigate the relationship between the AAPR and all-cause mortality, as well as cardiovascular and cerebrovascular prognosis, in adults aged at least 60 years. Methods: A total of 13,603 eligible participants were included. Kaplan-Meier curves and log-rank tests were utilized to compare variations in all-cause, cardiovascular, and cerebrovascular mortalities across the AAPR quartiles. Multivariate Cox proportional hazards models and restricted cubic splines (RCS) were applied to examine the associations among the AAPR and all-cause, cardiovascular, and cerebrovascular mortalities. Results: Cumulative all-cause mortality and cardiovascular and cerebrovascular mortality in the highest AAPR quartile were remarkably lower than in the lowest quartile. A higher AAPR was related to a diminished risk of all-cause mortality [hazard ratio (HR) = 0.64, 95% confidence interval (CI): 0.57-0.71] and cardiovascular and cerebrovascular mortality (HR = 0.73, 95% CI: 0.60-0.90). The AAPR showed a negative linear association with cardiovascular and cerebrovascular mortality ( Conclusions: The AAPR is important in predicting the risks associated with all-cause mortality and cardiovascular and cerebrovascular mortality, providing meaningful insights into mortality risk among the older adult population.

Indexed as

adults aged 60 years and abovealbumin to alkaline phosphatase ratioall-cause mortalitycardiovascular and cerebrovascular mortalitypredictive factor

Identifiers

PMID41789335
PMCPMC12959993

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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.