Evidence map›Paper›PMID 34610818›Full record

ArticleBMC nephrology2021

The risk of chronic kidney disease in relation to anthropometric measures of obesity: A Swedish cohort study.

Ensieh Memarian, Peter M Nilsson, Isac Zia, Anders Christensson, Gunnar Engström

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Glycosylation in kidney diseases.Precision clinical medicine · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Review
  9. Article
  10. Article
  11. Review
  12. Metabolism Score for Visceral Fat (METS-VF): A New Predictive Surrogate for CKD Risk.Diabetes, metabolic syndrome and obesity : targets and therapy · 2022
    Article
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 2 institutions in 1 country.

Ensieh MemarianDepartment of Clinical Sciences in Malmö, Lund University, Internal Medicine - Epidemiology Research Group, Jan Waldenströms gata 15, 5th floor, Malmo, Sweden. ensieh.memarian@med.lu.se.
Peter M NilssonDepartment of Clinical Sciences in Malmö, Lund University, Internal Medicine - Epidemiology Research Group, Jan Waldenströms gata 15, 5th floor, Malmo, Sweden.
Isac ZiaDepartment of Clinical Sciences in Malmö, Lund University, Internal Medicine - Epidemiology Research Group, Jan Waldenströms gata 15, 5th floor, Malmo, Sweden.
Anders ChristenssonDepartment of Nephrology, Skåne University Hospital, Lund University, S-20502, Malmo, Sweden.
Gunnar EngströmDepartment of Clinical Sciences in Malmö, Lund University, Internal Medicine - Epidemiology Research Group, Jan Waldenströms gata 15, 5th floor, Malmo, Sweden.
Lund University · SESkåne University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt has been shown that individuals with obesity have a higher risk for chronic kidney disease (CKD). However, it is unclear which measure of obesity is most useful for prediction of CKD in the general population. The aim of this large prospective study was to explore the association between several anthropometric measures of obesity, i. e., body mass index (BMI), waist circumference (WC), waist circumference to height ratio (WHtR), waist-to-hip ratio (WHR), percentage of body fat (BF%), weight, height and incidence of hospitalizations due to CKD, in a population-based cohort study.

methodsThe 'Malmö Diet and Cancer Study (MDCS)' cohort in Sweden was examined during 1991 to 1996. A total of 28,449 subjects underwent measurement of anthropometric measures and blood pressure and filled out a questionnaire. Incidence of in- and outpatient hospital visits for CKD was monitored from the baseline examination over a mean follow-up of 18 years. Cox proportional hazards regression was used to explore the association between anthropometric measures and incidence of CKD, with adjustments for risk factors.

resultsThe final study population included 26,723 subjects, 45-73 years old at baseline. Higher values of BMI, WC, WHR, WHtR and weight were associated with an increased risk of developing CKD in both men and women. Only in women, higher values of BF% was associated with higher risk of CKD. Comparing the 4

conclusionsIn this large prospective study, all anthropometric measures of obesity were associated with a substantially increased incidence of CKD, except for BF% in men. Some measures were slightly more predictive for the risk of CKD than others such as BMI and weight in men and BF% in women. In clinical daily practice use of all anthropometric measures of obesity might be equally useful to assess the risk of developing CKD. This study supports the strong evidence for an association between obesity and CKD.

Indexed as

AgedBody Weights and MeasuresCohort StudiesFemaleHospitalizationHumansMaleMiddle AgedObesityProspective StudiesRenal Insufficiency, ChronicRisk AssessmentSwedenAnthropometric measuresBMIChronic kidney diseaseObesity

Identifiers

PMID34610818
PMCPMC8491415
OpenAlexW3204129530

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.