Evidence map›Paper›PMID 23932088›Full record

Observational studyAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2014

Association of a cystatin C gene variant with cystatin C levels, CKD, and risk of incident cardiovascular disease and mortality.

Conall M O'Seaghdha, Adrienne Tin, Qiong Yang, Ronit Katz, Yongmei Liu, Tamara Harris, Brad Astor, Josef Coresh, Caroline S Fox, W H Linda Kao and 1 more

Abstract readObservational Study
In one paragraph

Observational study in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Association BetweenFrontiers in neurology · 2021
    Article
  11. Article
  12. Article
  13. Metabolomic profiling to improve glomerular filtration rate estimation: a proof-of-concept study.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2019
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Conall M O'SeaghdhaNational Heart, Lung and Blood Institute's Framingham Heart Study and the Center for Population Studies, Framingham, MA; Renal Division, Massachusetts General Hospital and Harvard Medical School, Boston, MA.
Adrienne TinDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Qiong YangDepartment of Biostatistics, Boston University School of Public Health, Boston, MA.
Ronit KatzSan Francisco VA Medical Center; Departments of Medicine, Epidemiology & Biostatistics, University of California, San Francisco, CA.
Yongmei LiuDepartment of Epidemiology & Prevention, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC.
Tamara HarrisLaboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, MD.
Brad AstorDepartment of Population Health Sciences, The University of Wisconsin, School of Medicine and Public Health, Madison, WI.
Josef CoreshWelch Center for Prevention, Epidemiology and Clinical Research, The Johns Hopkins University, Baltimore, MD.
Caroline S FoxNational Heart, Lung and Blood Institute's Framingham Heart Study and the Center for Population Studies, Framingham, MA; Division of Endocrinology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
W H Linda KaoDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Michael G ShlipakSan Francisco VA Medical Center; Departments of Medicine, Epidemiology & Biostatistics, University of California, San Francisco, CA. Electronic address: michael.shlipak@ucsf.edu.

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
CARDIOVASCULAR EPIDEMIOLOGY INSTITUTIONAL TRAININGT32HL007024 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Elizabeth Selvin · 1985 to 2026
$17.5M
The Aging Kidney in HIV-Infection: biomarkers for early detection of injuryR01AG034853 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI ESTRELLA, MICHELLE M, SHLIPAK, MICHAEL G · 2010 to 2025
$9.6M
Exceptional Survival: Trajectories to Functional Aging (CHS All Stars)R01AG023629 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B. · 2004 to 2016
$9.5M
The Aging Kidney: Chronic Injury, Impaired Functions and Clinical OutcomesR01AG027002 · NIA · TUFTS MEDICAL CENTER · PI PARIKH, SAMIR M, SARNAK, MARK J · 2005 to 2022
$7.3M
Framingham Heart Study/FoxZIAHL006094 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI FOX, CAROLINE · 2010 to 2015
$6.9M
Health, Aging and Body Composition StudyZIAAG007390 · NIA · NATIONAL INSTITUTE ON AGING · PI LAUNER, LENORE J · 2009 to 2024
$4.0M
Genetic Determinants of Visceral AdiposityR01AG032098 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI LIU, YONGMEI · 2009 to 2013
$3.4M
DYNAMICS OF HEALTH .AGING . AND BODY COMPOSITION /Pittsburgh/-260962101N01AG062101 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · 1996 to 2004
$996k
DYNAMICS OF HEALTH . AGING . AND BODY COMPOSITION /Memphis/-26062103N01AG062103 · NIA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · 1996 to 2004
$793k
Racial/Ethnic Disparities in Kidney Function Decline: Genes or Environment?K23DK082793 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PERALTA, CARMEN ALICIA · 2009 to 2013
$786k
HEALTH ABC--COORDINATING UNIT /California/-260062106N01AG062106 · NIA · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · 1996 to 2004
$109k
Intramural NIH HHSNCATS NIH HHS UL1 TR001079NHGRI NIH HHS HHSN268200782096CNHLBI NIH HHS T32 HL007024NIA NIH HHS 1R01AG032098-01A1NIA NIH HHS N01AG62101NIA NIH HHS N01AG62103NIA NIH HHS N01AG62106NIA NIH HHS R01 AG023629NIA NIH HHS R01 AG027002NIA NIH HHS R01 AG034853NIDDK NIH HHS K23 DK082793
6 · The paper itself

Abstract

backgroundCarriers of the T allele of the single-nucleotide polymorphism rs13038305 tend to have lower cystatin C levels and higher cystatin C-based estimated glomerular filtration rate (eGFRcys). Adjusting for this genetic effect on cystatin C concentrations may improve GFR estimation, reclassify cases of chronic kidney disease (CKD), and strengthen risk estimates for cardiovascular disease (CVD) and mortality. STUDY

designObservational. SETTING & POPULATION: 4 population-based cohorts: Atherosclerosis Risk in Communities (ARIC), Cardiovascular Health (CHS), Framingham Heart (FHS), and Health, Aging, and Body Composition (Health ABC) studies. PREDICTORS: We estimated the association of rs13038305 with eGFRcys and serum creatinine-based eGFR (eGFRcr) and performed longitudinal analyses of the associations of eGFRcys with mortality and cardiovascular events following adjustment for rs13038305. OUTCOMES: We assessed reclassification by genotype-adjusted eGFRcys across CKD categories: <45, 45-59, 60-89, and ≥ 90 mL/min/1.73 m(2). We compared mortality and CVD outcomes in those reclassified to a worse eGFRcys category with those unaffected. Results were combined using fixed-effect inverse-variance meta-analysis.

resultsIn 14,645 participants, each copy of the T allele of rs13038305 (frequency, 21%) was associated with a 6.4% lower cystatin C concentration, 5.5-mL/min/1.73 m(2) higher eGFRcys, and 36% [95% CI, 29%-41%] lower odds of CKD. Associations with CVD (HR, 1.17; 95% CI, 1.14-1.20) and mortality (HR, 1.22; 95% CI, 1.19-1.24) per 10-mL/min/1.73 m(2) lower eGFRcys were similar with or without rs13038305 adjustment. 1,134 (7.7%) participants were reclassified to a worse CKD category following rs13038305 adjustment, and rates of CVD and mortality were higher in individuals who were reclassified. However, the overall net reclassification index was not significant for either outcome, at 0.009 (95% CI, -0.003 to 0.022) for mortality and 0.014 (95% CI, 0.0 to 0.028) for CVD. LIMITATIONS: rs13038305 explains only a small proportion of cystatin C variation.

conclusionsStatistical adjustment can correct a genetic bias in GFR estimates based on cystatin C in carriers of the T allele of rs13038305 and result in changes in disease classification. However, on a population level, the effects on overall reclassification of CKD status are modest.

Indexed as

Cardiovascular DiseasesCystatin CRenal Insufficiency, ChronicAgedBiasBiomarkersCreatinineFemaleGenetic VariationGlomerular Filtration RateHumansMaleMiddle AgedPolymorphism, Single NucleotideRisk AssessmentRisk FactorsBiomarkersCreatinineCST3 protein, humanCystatin Cchronic kidney diseaseCystatin Cgeneticsnet reclassification improvementsingle-nucleotide polymorphism

Identifiers

PMID23932088
PMCPMC3872167

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.