Evidence map›Paper›PMID 32979415›Full record

Observational studyAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2021

Association Between Midlife Obesity and Kidney Function Trajectories: The Atherosclerosis Risk in Communities (ARIC) Study.

Zhi Yu, Morgan E Grams, Chiadi E Ndumele, Lynne Wagenknecht, Eric Boerwinkle, Kari E North, Casey M Rebholz, Edward L Giovannucci, Josef Coresh

Abstract readObservational Study
In one paragraph

Observational study in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Observational
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. 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

9 authors.

Zhi YuDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD.
Morgan E GramsDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD; Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD.
Chiadi E NdumeleDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD.
Lynne WagenknechtDivision of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC.
Eric BoerwinkleHuman Genetics Center, University of Texas Health Science Center at Houston, Houston, TX; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX.
Kari E NorthDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Casey M RebholzDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD.
Edward L GiovannucciDepartment of Epidemiology, Harvard T. H. Chan School of Public Health; Department of Nutrition, Harvard T. H. Chan School of Public Health; Channing Division of Network Medicine, Brigham and Women's Hospital.
Josef CoreshDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD; Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD. Electronic address: coresh@jhu.edu.

Funding

Diabetes and Prediabetes in Older Adults in ARICR01DK089174 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI SELVIN, ELIZABETH · 2011 to 2020
$6.4M
NHLBI NIH HHS HHSN268201700001CNHLBI NIH HHS HHSN268201700001INHLBI NIH HHS HHSN268201700002CNHLBI NIH HHS HHSN268201700002INHLBI NIH HHS HHSN268201700003CNHLBI NIH HHS HHSN268201700003INHLBI NIH HHS HHSN268201700004CNHLBI NIH HHS HHSN268201700004INHLBI NIH HHS HHSN268201700005CNHLBI NIH HHS HHSN268201700005INIDDK NIH HHS R01 DK089174
6 · The paper itself

Abstract

RATIONALE &

objectiveObesity has been related to risk for chronic kidney disease. However, the associations of different measures of midlife obesity with long-term kidney function trajectories and whether they differ by sex and race are unknown. STUDY

designObservational study. SETTING &

participants13,496 participants from the Atherosclerosis Risk in Communities (ARIC) Study. PREDICTORS: Midlife obesity status as measured by body mass index (BMI), waist-to-hip ratio, and predicted percent fat at baseline. OUTCOMES: Estimated glomerular filtration rate (eGFR) calculated using serum creatinine level measured at 5 study visits, and incident kidney failure with replacement therapy (KFRT). ANALYTICAL APPROACH: Mixed models with random intercepts and random slopes for eGFR. Cox proportional hazards models for KFRT.

resultsBaseline mean age was 54 years, median eGFR was 103mL/min/1.73m LIMITATIONS: Loss to follow-up during 3 decades of follow-up with 5 eGFR assessments.

conclusionsObesity status is a risk factor for future decline in kidney function and development of KFRT in Black and White women, with less consistent associations among men.

Indexed as

Glomerular Filtration RateBlack or African AmericanBody Mass IndexCreatinineFemaleHumansKidney Failure, ChronicLongitudinal StudiesMaleMiddle AgedObesityProportional Hazards ModelsRenal Replacement TherapySex FactorsWaist-Hip RatioWhite PeopleCreatininebioelectrical impedance analysis (BIA)body fatbody mass index (BMI)chronic kidney disease (CKD)end-stage renal disease (ESRD)estimated glomerular filtration rate (eGFR)kidney disease progressionkidney failurekidney functionmidlifemodifiable risk factorObesityracial/ethnic differencessex differencestrajectorywaist-to-hip ratio

Identifiers

PMID32979415
PMCPMC7904650

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.