Evidence map›Paper›PMID 38012254›Full record

ArticleScientific reports2023

Metabolic health status and renal disorders: a cross-sectional study.

Firouzeh Moeinzadeh, Mohammad Hossein Rouhani, Shiva Seirafian, Sahar Vahdat, Mojgan Mortazavi, Cain C T Clark, Farnaz Shahdadian

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

7 authors.

Firouzeh MoeinzadehIsfahan Kidney Diseases Research Center, Department of Internal Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Mohammad Hossein RouhaniDepartment of Community Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, and Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Shiva SeirafianIsfahan Kidney Diseases Research Center, Department of Internal Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Sahar VahdatIsfahan Kidney Diseases Research Center, Department of Internal Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Mojgan MortazaviIsfahan Kidney Diseases Research Center, Department of Internal Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Cain C T ClarkCentre for Intelligent Healthcare, Coventry University, Coventry, CV1 5FB, UK.
Farnaz ShahdadianDepartment of Clinical Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran. fshahdadian@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous surveys suggests that body mass index (BMI) may be positively related to development of chronic kidney disease (CKD). However, this association might be altered by metabolic syndrome. Therefore, we aimed to evaluate the association of metabolic health status with CKD. The present cross-sectional study was carried out on 3322 representative sample of Iranian adults. Metabolic syndrome was identified based on the National Cholesterol Education Program (NCEP) Adult Treatment Panel III (ATP III) and BMI was assessed by anthropometric measurements. Estimated glomerular filtration rate (eGFR) was calculated by modification of diet in renal disease-Chronic Kidney Disease Epidemiology Collaboration (MDRD-EPI) formula. Subjects were categorized into four phenotypes: metabolically healthy normal weight (MHNW), metabolically healthy overweight and obesity (MHO), metabolically unhealthy normal weight (MUHNW), and metabolically unhealthy overweight and obesity (MUHO). Based on multivariate-adjusted models, the risk of CKD was significantly higher in MUHO compared with MHNW (OR: 1.48; p < 0.05). Although MUHNW and MUHO were associated with lower eGFR and albuminuria, the significant association was not observed in case of hematuria. Furthermore, subjects with kidney stones tended to be in MHO (OR: 1.42; p < 0.05) and MUHO phenotypes (OR: 1.64; p < 0.05), in comparison to the MHNW phenotype. The odds of kidney disorders were higher in adults with metabolic syndrome, regardless of BMI. However, this relationship might be strengthened by the concomitance of metabolic syndrome and obesity. To verify our findings, clarify the causality, and elucidate the underlying mechanisms, further research are warranted.

Indexed as

Metabolic SyndromeObesity, Metabolically BenignRenal Insufficiency, ChronicAdultBody Mass IndexCross-Sectional StudiesHealth StatusHumansIranObesityOverweightPhenotypeRisk Factors

Identifiers

PMID38012254
PMCPMC10682426

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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.