Evidence map›Paper›PMID 38093795›Full record

ArticlePorto biomedical journal

Chronic kidney disease prevalence in asymptomatic patients with risk factors-usefulness of serum cystatin C: a cross-sectional study.

Mariela N Avila, María C Luciardi, Ana V Oldano, Mariano N Aleman, Rossana C Pérez Aguilar

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Article in Porto biomedical journal. 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.

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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.

Mariela N AvilaCátedra de Bioquímica Clínica III, Instituto de Bioquímica Aplicada, Facultad de Bioquímica, Universidad Nacional de Tucumán, Argentina.
María C LuciardiCátedra de Práctica Profesional, Instituto de Bioquímica Aplicada, Facultad de Bioquímica, Universidad Nacional de Tucumán, Argentina.
Ana V OldanoCátedra de Bioquímica Clínica III, Instituto de Bioquímica Aplicada, Facultad de Bioquímica, Universidad Nacional de Tucumán, Argentina.
Mariano N AlemanCátedra de Práctica Profesional, Instituto de Bioquímica Aplicada, Facultad de Bioquímica, Universidad Nacional de Tucumán, Argentina.ORCID https://orcid.org/0000-0003-3073-7540
Rossana C Pérez AguilarCátedra de Bioquímica Clínica III, Instituto de Bioquímica Aplicada, Facultad de Bioquímica, Universidad Nacional de Tucumán, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic kidney disease is recognized as a worldwide public health problem, particularly within an increasing prevalence of obesity, diabetes mellitus, and hypertension. This disease affects more than 13% of the world's population and is increasing. Further biochemical assessment with new biomarkers, such as serum cystatin C (CysC), would improve patient care and disease control. The aim of this study was to detect chronic kidney disease (CKD) in asymptomatic subjects with risk factors and evaluate CysC as early biomarker of renal damage and accurate test to estimation glomerular filtration (GF). Methods: This observational analytic and cross-sectional design included 195 patients of both sexes. A full clinical evaluation included height, weight, waist circumference, body mass index (BMI), blood pressure (BP), and family history of disease. Renal function was evaluated through serum creatinine (SCrea), serum CysC, urinary albumin, and urinary creatinine. GF was calculated using CKD-EPI creatinine (CKD-EPI Crea) and CKD-EPI creatinine-cystatin C equations (CKD-EPI Crea-CysC). Results: Renal injury showed 24% of patients with albuminuria; 18% of them were categorized as A2 and 6% as A3. Therefore, 73% had no progression risk (baseline risk), 20% moderate risk, and 7% high risk. Among analyzed groups, significant differences were found in BMI, BP, Screa, CysC, CKD-EPI Crea, and CKD-EPI Crea-CysC. Overweight population was analyzed by assessing CysC and calculating CKD-EPI Crea-CysC, showing an important change with respect to the general population. Conclusion: Combined CysC and Crea measurement provides incremental improvement in predicting measured GF.

Indexed as

chronic kidney diseaseCysCoverweight

Identifiers

PMID38093795
PMCPMC10715761

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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.