Evidence map›Paper›PMID 40271383›Full record

ArticleAmerican journal of preventive cardiology2025

Associations between visceral adipose and renal artery calcification: Results from the multi-ethnic study of atherosclerosis.

Harsimran Bajwa, Michael Criqui, Ron Blankstein, Siddique Abbasi, Joao Lima, Jingzhong Ding, Tara Shrout Allen, Matthew Allison

Abstract read
In one paragraph

Article in American journal of preventive cardiology, 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.

Harsimran BajwaUCSD School of Medicine, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
Michael CriquiUCSD School of Medicine, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
Ron BlanksteinBrigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.
Siddique AbbasiGlobal Development, Amgen, 1 Amgen Center, Newbury Park, CA, 91320, USA.
Joao LimaDepartment of Cardiology, Johns Hopkins University, 1800 Orleans Street, Baltimore, MD, 21287, USA.
Jingzhong DingWake Forest School of Medicine, 475 Vine Street, Winston-Salem, NC, 27101, USA.
Tara Shrout AllenSan Diego VA Healthcare System, 3350 La Jolla Village Drive, San Diego, CA, 92161, USA.
Matthew AllisonUCSD School of Medicine, 9500 Gilman Drive, La Jolla, CA, 92093, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Visceral adipose tissue (VAT) has been associated with higher levels of atherosclerosis. Renal artery calcification (RAC) secondary to atherosclerosis has been found to be associated with an increase in all-cause mortality. Methods: 1 978 participants underwent CT imaging to measure VAT and RAC. Rate ratio regression was used to estimate prevalence ratios (PRs) for the presence of RAC, while linear regression was used to estimate linear coefficients for the severity of RAC. Results: 1 196 participants had complete VAT and RAC measurements. In adjusted models, VAT area was not associated with RAC presence (PR 1.02, 95 % CI 0.89, 1.16, Conclusions: VAT area and density are not significantly associated with RAC presence, while greater VAT area is significantly associated with RAC severity among those with RAC > 0. Our results are the first describing the relationship between VAT and RAC, and are in contrast to previous literature demonstrating a significant association between VAT and coronary artery calcification.

Indexed as

Renal artery atherosclerosisRenal artery calcificationSubclinical atherosclerosisVisceral adiposeVisceral body fat

Identifiers

PMID40271383
PMCPMC12017846

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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.