Evidence map›Paper›PMID 39925623›Full record

ArticleJBMR plus2025

Serum free 25(OH)D concentrations and cardiovascular disease, heart failure, kidney function decline, and fracture: the health, aging, and body composition study.

Jonathan H Cheng, Andrew N Hoofnagle, Ronit Katz, Stephen B Kritchevsky, Michael G Shlipak, Mark J Sarnak, Joachim H Ix, Charles Ginsberg

Abstract read
In one paragraph

Article in JBMR plus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Jonathan H ChengDivision of Nephrology-Hypertension, University of California, San Diego, CA 92103, United States.
Andrew N HoofnagleDepartments of Laboratory Medicine and Medicine and the Kidney Research Institute, University of Washington, Seattle, WA 98104, United States.
Ronit KatzDepartment of Obstetrics and Gynecology, University of Washington, Seattle, WA 98104, United States.
Stephen B KritchevskyDepartment of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27101, United States.
Michael G ShlipakKidney Health Research Collaborative, Veterans Affairs Medical Center, San Francisco, CA 94121, United States.
Mark J SarnakDivision of Nephrology, Department of Medicine, Tufts Medical Center, Boston, MA 02111, United States.
Joachim H IxDivision of Nephrology-Hypertension, University of California, San Diego, CA 92103, United States.
Charles GinsbergDivision of Nephrology-Hypertension, University of California, San Diego, CA 92103, United States.ORCID https://orcid.org/0000-0001-9408-3684

Funding

Vector and Transgenic Mouse CoreP30DK017047 · NIDDK · UNIVERSITY OF WASHINGTON · PI Sakeneh Zraika · 1986 to 2026
$41.4M
PILOT STUDY--CLINICAL NUTRITION RESEARCHP30DK035816 · NIDDK · UNIVERSITY OF WASHINGTON · PI GREGORY J MORTON · 1986 to 2026
$30.4M
The Aging Kidney: Chronic Injury, Impaired Functions and Clinical OutcomesR01AG027002 · NIA · TUFTS MEDICAL CENTER · PI PARIKH, SAMIR M, SARNAK, MARK J · 2005 to 2022
$7.3M
Improving the Health of Aging Women and Men.T32AG058529 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LACROIX, ANDREA Z. · 2019 to 2023
$1.2M
Effects of Niacin on Mineral Metabolism in Chronic Kidney DiseaseR01DK101720 · NIDDK · VETERANS MEDICAL RESEARCH FDN/SAN DIEGO · PI IX, JOACHIM H · 2014 to 2016
$1.2M
Influence of Vitamin D Binding Protein on Clinical Measures of Vitamin D Status and Bone HealthK23DK118197 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GINSBERG, CHARLES · 2018 to 2022
$1.0M
Mentored Patient Oriented Research in Kidney DiseaseK24DK110427 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IX, JOACHIM H · 2016 to 2020
$780k
NIA NIH HHS R01 AG027002NIA NIH HHS T32 AG058529NIDDK NIH HHS K23 DK118197NIDDK NIH HHS K24 DK110427NIDDK NIH HHS P30 DK017047NIDDK NIH HHS P30 DK035816NIDDK NIH HHS R01 DK101720
6 · The paper itself

Abstract

Vitamin D deficiency is common across the world. However, the standard clinical biomarker for vitamin D, 25OHD, may be a poor marker of vitamin D status, as most of circulating vitamin D is protein bound and not bioavailable. Free (unbound) vitamin D may therefore be a better marker of vitamin D status. We evaluated the relationship of free vitamin D with incident cardiovascular disease (CVD), heart failure (HF), kidney function decline (KFD) and fracture, among 786 participants in the Health Aging and body composition study. We used sequential models to assess hazard ratios (HRs) of each outcome that adjusted for age, sex, race, season of blood sampling, and study site, kidney function, serum calcium and phosphate, FGF 23, PTH, BMI, and vitamin D supplementation. The mean age of the 786 participants was 75 ± 3 yr, 53% were women, and 40% were Black. The median free vitamin D concentration was 5.3 (interquartile range 4.1-6.7) pg/mL. There were 157 cases of incident CVD, 123 cases of incident HF, 382 cases of incident KFD, and 178 fractures over 11 yr of follow-up. In fully adjusted models, a 2-fold greater free vitamin D was associated with lower risk of incident HF [HR 0.75, 95%CI,0.58-0.96 ] and greater risk KFD [1.25(1.03-1.52)]. We found no association between free vitamin D and incident CVD or fracture. We did not find evidence that free vitamin D was a superior marker of clinical outcomes compared to total 25OHD alone. Further studies are needed to elucidate the relationship of free vitamin D with clinical outcomes.

Indexed as

cardiovascular diseasefractureheart failurekidney diseasevitamin D

Identifiers

PMID39925623
PMCPMC11807283

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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 OpenQuestion graph.