Evidence map›Paper›PMID 20966119›Full record

Trial reportClinical journal of the American Society of Nephrology : CJASN2011

Equations to estimate creatinine excretion rate: the CKD epidemiology collaboration.

Joachim H Ix, Christina L Wassel, Lesley A Stevens, Gerald J Beck, Marc Froissart, Gerjan Navis, Roger Rodby, Vicente E Torres, Yaping Lucy Zhang, Tom Greene and 1 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Clinical journal of the American Society of Nephrology : CJASN, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers.

0numbers the graph read from it
0cells of the map it votes in
105citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

105 citing papers in PubMed, 189 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Creatinine generation from kinetic modeling with or without postdialysis serum creatinine measurement: results from the HEMO study.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2017
    Trial
  4. Trial
  5. Urine Potassium Excretion, Kidney Failure, and Mortality in CKD.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2017
    Trial
  6. Trial
  7. Trial
  8. Article
  9. Article
  10. Article
  11. Article
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  13. Article
  14. Article
  15. Article
  16. Review
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  18. Kidney phosphate wasting predicts poor outcome in polycystic kidney disease.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2024
    Observational
  19. Review
  20. Article

45 more citing papers are in PubMed but not listed here.

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

11 authors at 9 institutions in 3 countries.

Joachim H IxDivision of Nephrology and Hypertension, Department of Medicine, University of California San Diego, and San Diego VA Healthcare System, 3350 La Jolla Village Drive, Mail Code 111-H, San Diego, CA 92161, USA. joeix@ucsd.edu
Christina L Wassel
Lesley A Stevens
Gerald J Beck
Marc Froissart
Gerjan Navis
Roger Rodby
Vicente E Torres
Yaping Lucy Zhang
Tom Greene
Andrew S Levey
Tufts Medical Center · USCleveland Clinic · USMayo Clinic · USRush University Medical Center · USUniversité Paris Cité · FRUniversity Medical Center Groningen · NLUniversity of California, San Diego · USUniversity of Utah · USVA San Diego Healthcare System · US

Funding

Chronic Renal Disease-Individual Patient Meta AnalysisU01DK053869 · NIDDK · TUFTS MEDICAL CENTER · PI LEVEY, ANDREW S · 2005 to 2007
$2.5M
Fetuin-A and Incident Cardiovascular Disease, Fracture, and DiabetesR01HL096851 · NHLBI · VETERANS MEDICAL RESEARCH FDN/SAN DIEGO · PI IX, JOACHIM H · 2009 to 2011
$885k
NHLBI NIH HHS R01 HL096851NHLBI NIH HHS R01HL096851-01NIDDK NIH HHS U01 DK 053869NIDDK NIH HHS U01 DK053869
6 · The paper itself

Abstract

BACKGROUND AND

objectivesCreatinine excretion rate (CER) indicates timed urine collection accuracy. Although equations to estimate CER exist, their bias and precision are untested and none simultaneously include age, sex, race, and weight. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Participants (n = 2466) from three kidney disease trials were randomly allocated into equation development (2/3) and internal validation (1/3) data sets. CER served as the dependent variable in linear regression to develop new equations. Their stability was assessed within the internal validation data set. Among 987 individuals from three additional studies the equations were externally validated and compared with existing equations.

resultsMean age was 46 years, 42% were women, and 9% were black. Age, sex, race, weight, and serum phosphorus improved model fit. Two equations were developed, with or without serum phosphorus. In external validation, the new equations showed little bias (mean difference [measured - estimated CER] -0.7% [95% confidence interval -2.5% to 1.0%] and 0.3% [95% confidence interval -2.6% to 3.1%], respectively) and moderate precision (estimated CER within 30% of measured CER among 79% [76% to 81%] and 81% [77% to 85%], respectively). Corresponding numbers within 15% were 51% [48% to 54%] and 54% [50% to 59%]). Compared with existing equations, the new equations had similar accuracy but showed less bias in individuals with high measured CER.

conclusionsCER can be estimated with commonly available variables with little bias and moderate precision, which may facilitate assessment of accuracy of timed urine collections.

Indexed as

Glomerular Filtration RateAdultAgedChronic DiseaseCooperative BehaviorCreatinineFemaleHumansKidney DiseasesMaleMiddle AgedCreatinine

Identifiers

PMID20966119
PMCPMC3022241
OpenAlexW2171699929

What OpenQuestion holds

Textmetadata
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.