Evidence map›Paper›PMID 40135571›Full record

ArticleJournal of the American Heart Association2025

Nonprescription Magnesium Supplement Use and Risk of Heart Failure in Patients With Diabetes: A Target Trial Emulation.

Yan Cheng, Andrew R Zullo, Ying Yin, Yijun Shao, Simin Liu, Qing Zeng-Treitler, Wen-Chih Wu

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Yan ChengDepartment of Clinical Research and Leadership George Washington University Washington DC USA.ORCID 0000-0001-7189-3991
Andrew R ZulloTransformative Health Systems Research to Improve Veteran Equity and Independence (THRIVE) Center of Innovation VA Providence Healthcare System Providence RI USA.ORCID 0000-0003-1673-4570
Ying YinDepartment of Clinical Research and Leadership George Washington University Washington DC USA.
Yijun ShaoDepartment of Clinical Research and Leadership George Washington University Washington DC USA.
Simin LiuDepartment of Epidemiology and Biostatistics University of California Irvine CA USA.ORCID 0000-0003-2098-3844
Qing Zeng-TreitlerDepartment of Clinical Research and Leadership George Washington University Washington DC USA.
Wen-Chih WuTransformative Health Systems Research to Improve Veteran Equity and Independence (THRIVE) Center of Innovation VA Providence Healthcare System Providence RI USA.ORCID 0000-0002-2834-2024

Funding

Use Explainable AI to Improve the Trust of and Detect the Bias of AI ModelsRF1AG069121 · NIA · GEORGE WASHINGTON UNIVERSITY · PI KOKKINOS, PETER F., ZAMRINI, EDWARD Y · 2020 to 2022
$2.3M
Magnesium supplement and vascular health: Machine learning from the longitudinal medical recordR01HL156518 · NHLBI · GEORGE WASHINGTON UNIVERSITY · PI AHMED, ALI, WU, WEN-CHIH · 2021 to 2024
$1.9M
NHLBI NIH HHS R01 HL156518NIA NIH HHS RF1 AG069121
6 · The paper itself

Abstract

backgroundBoth diabetes and low magnesium-containing food intake may increase the risk of heart failure (HF). However, the effect of nonprescription magnesium supplements on the risk of HF or major adverse cardiac events in patients with diabetes is unknown. METHODS AND

resultsUsing a target-trial-emulation approach, we assembled a national cohort of 94 239 veterans ≥40 years with diabetes, without prior HF or magnesium use, who received ambulatory care in the US veterans-health care system documented by electronic clinic notes between January 1, 2006 and December 31, 2020. A natural language processing approach was used to detect self-reported magnesium-supplement use from clinic notes, n=17 619 were identified as users versus n=76 620 as nonusers. Using inverse probability treatment weighting, we constructed a cohort balanced in 88 baseline characteristics between users and nonusers. The primary outcome was incident HF. Secondary outcomes were major adverse cardiac events (myocardial infarction, stroke, HF hospitalization, or death). Hazard ratios (HRs) associated with magnesium-supplement use and outcomes were estimated in the inverse probability treatment weighting weighted cohort using Cox regression. The inverse probability treatment weighting weighted cohort had a mean age of 67.4±10.3 years; 18.4% were Black, and 5.1% were women. The mean duration of magnesium-supplement use was 3.5±3.1 (interquartile range, 1.1-5.1) years. Incident HF occurred in 8.0% of users and 9.7% of nonusers of magnesium supplements (HR, 0.94 [95% CI, 0.89-0.99]). Magnesium-supplement use was also associated with a reduced risk of major adverse cardiac events (HR, 0.94 [95% CI, 0.90-0.97]).

conclusionsLong-term nonprescription magnesium supplement use was associated with a lower risk of incident HF and major adverse cardiac events in patients with diabetes. These findings should be replicated in randomized controlled trials.

Indexed as

Diabetes MellitusDietary SupplementsHeart FailureMagnesiumAgedFemaleHumansIncidenceMaleMiddle AgedRisk AssessmentRisk FactorsUnited StatesMagnesiumdietary supplementsheart failuremagnesiumtarget trial

Identifiers

PMID40135571
PMCPMC12132832

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.