Evidence map›Paper›PMID 36837815›Full record

ArticleMetabolites2023

Diagnosis, Prevalence and Significance of Obesity in a Cohort of CKD Patients.

Diego Moriconi, Claudia D'Alessandro, Domenico Giannese, Vincenzo Panichi, Adamasco Cupisti

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 23% of its field
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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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 at 1 institution in 1 country.

Diego MoriconiDepartment of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0002-1223-0167
Claudia D'AlessandroDepartment of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0003-2313-5461
Domenico GianneseDepartment of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.
Vincenzo PanichiDepartment of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.
Adamasco CupistiDepartment of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0002-8995-936X
University of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgrounddata regarding the association between obesity and morbidity/mortality in patients with chronic kidney disease (CKD) are uncertain and sometimes contradictory. The aims of our study were to determine the associations among different measures of obesity and adiposity, and the risk of all-cause mortality or dialysis entry in stage 3-5 CKD patients. MATERIALS: this observational cohort study included 178 CKD patients followed for a median of 71 months. Biochemistry, anthropometric measures such as body mass index (BMI), waist-to-hip ratio, mid-arm muscle circumference (MAMC) and body composition by bioimpedance analysis were evaluated.

resultswe found a weak agreement between BMI and other measures of adiposity. In multivariable regression analysis, all measures of obesity such as BMI, waist circumference and waist-to-height ratio were not associated with dialysis entry and/or mortality. Instead, MAMC was associated with dialysis entry HR 0.82 [95% CI: 0.75-0.89] and high FM% with mortality HR 2.08 [95% CI: 1.04-4.18].

conclusionsin our CKD population, lower MAMC was predictive of dialysis commencing, while a higher percentage of fatty mass was a predictor of mortality. Instead, obesity, as defined by BMI, is not associated with dialysis commencing or all-cause mortality.

Indexed as

adiposityanthropometrybio-impedancebody mass indexCKDfatty massobesity

Identifiers

PMID36837815
PMCPMC9962553
OpenAlexW4318476768

What OpenQuestion 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 OpenQuestion graph.