Evidence map›Paper›PMID 40045219›Full record

ArticleBMC nephrology2025

Perirenal fat differs in patients with chronic kidney disease receiving different vitamin D-based treatments: a preliminary study.

Ana Checa-Ros, Antonella Locascio, Owahabanun-Joshua Okojie, Pablo Abellán-Galiana, Luis D'Marco

Abstract read
In one paragraph

Article in BMC nephrology, 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

5 authors.

Ana Checa-RosGrupo de Investigación en Enfermedades Cardiorrenales y Metabólicas, Departamento de Medicina y Cirugía, Facultad de Ciencias de la Salud, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, 46115, Spain.
Antonella LocascioDepartamento de Ciencias Biomédicas, Facultad de Ciencias de la Salud, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, 46115, Spain.
Owahabanun-Joshua OkojieGrupo de Investigación en Enfermedades Cardiorrenales y Metabólicas, Departamento de Medicina y Cirugía, Facultad de Ciencias de la Salud, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, 46115, Spain.
Pablo Abellán-GalianaGrupo de Investigación en Enfermedades Cardiorrenales y Metabólicas, Departamento de Medicina y Cirugía, Facultad de Ciencias de la Salud, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, 46115, Spain.
Luis D'MarcoGrupo de Investigación en Enfermedades Cardiorrenales y Metabólicas, Departamento de Medicina y Cirugía, Facultad de Ciencias de la Salud, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, 46115, Spain. luis.dmarcogascon@uchceu.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionChronic kidney disease (CKD) patients show high rates of cardiovascular disease (CVD) and mortality. In the general population, obesity, hypertension, and diabetes are known as the classical CVD risk factors. However, CKD patients have other predisposing CVD factors more associated with bone and mineral metabolism disorders (BMD). BMD originates from reduced 1,25-dihydroxy vitamin D and hypocalcemia, which lead to secondary hyperparathyroidism, with increased parathyroid hormone (PTH) levels and hyperphosphatemia as the progression of renal damage. Due to their pleiotropic effects, vitamin D and its analogs, such as cholecalciferol, calcitriol, or paricalcitol, have proven effective in controlling BMD and CVD. On the other hand, visceral adiposity has been shown to increase the risk for CVD in both the general and CKD populations via complex autocrine and paracrine hormonal mechanisms. This seems to be the case with fat surrounding the epicardium. Although it has not been widely evaluated, the fat surrounding the kidneys, or the perirenal adipose tissue (PAT), could also share similarities with the epicardial in terms of its potential contribution to the CVD risk observed in these patients. We conducted a preliminary study to assess differences in PAT on a sample of patients with CKD presenting diverse CVD history and who were receiving different vitamin D-receptor activators. METHODS/

resultsAn observational study was performed at UNIRENAL Center (Venezuela), from January to November 2015. Analytical and clinical parameters were evaluated. The PAT thickness was measured in centimeters through a B-mode ultrasound. Thus, we included 83 CKD patients treated with vitamin D or analogs (mean age 58.3 ± 16y); 57.83% were females. Nearly half of the sample was classified as CKD-G3 (n = 40). Prior history of CVD was present in 55.4% (N = 46) of participants. Must of the patients (n = 46;55.42%) receiving oral cholecalciferol (1000 IU/day) as part of the treatment for lower levels of vitamin D or BMD related to CKD (mainly elevated PTH), followed by those under calcitriol at 0.5 mcg/day (n = 27;32.53%), and around 12% (n = 10;12.05%) on paricalcitol (1 mcg/day). The mean treatment vintage was 20 ± 6 months for cholecalciferol, 18 ± 4 months for calcitriol, and 16 ± 2 months for paricalcitol. Those with a history of CVD (n = 46) showed higher levels of urea (mean 62.0vs45.2 mg/dl, p < 0.05), uric acid (mean 5.5vs4.3 mg/dl; p < 0.03), and iPTH (mean 186.2vs65.2pcg/dl; p < 0.05) than patients free of CVD events (n = 37). These findings were also in parallel with decreased renal function in the group with previous CVD history, as evidenced by a significantly lower eGFR (mean 53.55vs89.00 ml/min/1.73 m

Indexed as

Intra-Abdominal FatKidneyRenal Insufficiency, ChronicVitamin DAgedCalcitriolCardiovascular DiseasesCholecalciferolErgocalciferolsFemaleHumansMaleMiddle AgedVitaminsCalcitriolCholecalciferolErgocalciferolsparicalcitolVitamin DVitaminsAnalogsCardiovascular diseaseChronic kidney diseaseInflammationVitamin D

Identifiers

PMID40045219
PMCPMC11883930

What Socratic holds

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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 Socratic graph.