Evidence map›Paper›PMID 28675584›Full record

ArticleClinical and translational science2017

Does Secretory Clearance Follow Glomerular Filtration Rate in Chronic Kidney Diseases? Reconsidering the Intact Nephron Hypothesis.

A Chapron, D D Shen, B R Kestenbaum, C Robinson-Cohen, J Himmelfarb, C K Yeung

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
2.5field-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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. The intact nephron hypothesis as a model for renal drug handling.European journal of clinical pharmacology · 2019
    Pooled it
  3. Article
  4. A guide to uraemic toxicity.Nature reviews. Nephrology · 2026
    Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Medication Management in the Critically Ill Patient with Acute Kidney Injury.Clinical journal of the American Society of Nephrology : CJASN · 2023
    Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Pharmacokinetics in children with chronic kidney disease.Pediatric nephrology (Berlin, Germany) · 2020
    Review
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

6 authors at 2 institutions in 1 country.

A ChapronDepartment of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, Washington, USA.
D D ShenDepartment of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, Washington, USA.
B R KestenbaumKidney Research Institute, Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington, USA.
C Robinson-CohenKidney Research Institute, Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington, USA.
J HimmelfarbKidney Research Institute, Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington, USA.
C K YeungKidney Research Institute, Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington, USA.
University of Washington · USNorthwest Kidney Centers · US

Funding

NCCIH Supplement to NCATS/CTSA Program for KL2 Scholars - M. SoddersKL2TR002317 · NCATS · UNIVERSITY OF WASHINGTON · PI Christy Michelle McKinney · 2017 to 2026
$14.5M
Institute of Translational Health SciencesKL2TR000421 · NCATS · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2012 to 2016
$12.6M
Institute for Translational Health Science (KL2)KL2RR025015 · NCRR · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2007 to 2011
$9.3M
Modulation of drug transport at the renal proximal tubule by uremic solutes – implications in chronic kidney diseaseR01GM121354 · NIGMS · UNIVERSITY OF WASHINGTON · PI YEUNG, CATHERINE K. · 2017 to 2021
$1.5M
NCATS NIH HHS KL2 TR000421NCATS NIH HHS KL2 TR002317NCRR NIH HHS KL2 RR025015NIGMS NIH HHS R01 GM121354
6 · The paper itself

Abstract

Drug-dose modification in chronic kidney disease (CKD) utilizes glomerular filtration rate (GFR) with the implicit assumption that multiple renal excretory processes decline in parallel as CKD progresses. We compiled published pharmacokinetic data to evaluate if GFR predicts renal clearance changes as a function of CKD severity. For each drug, we calculated ratio of renal clearance to filtration clearance (Rnf). Of 21 drugs with Rnf >0.74 in subjects with GFR >90 mL/min (implying filtration and secretion), 13 displayed significant change in Rnf vs. GFR (slope of linear regression statistically different from zero), which indicates failure of GFR to predict changes in secretory clearance. The dependence was positive (n = 3; group A) or negative (n = 10; group B). Eight drugs showed no correlation (group C). Investigated drugs were small molecules, mostly hydrophilic, and ionizable, with some characterized as renal transporter substrates. In conclusion, dosing adjustments in CKD require refinement; in addition to GFR, biomarkers of tubular function are needed for secreted drugs.

Indexed as

Models, BiologicalGlomerular Filtration RateHumansNephronsPharmaceutical PreparationsRenal Insufficiency, ChronicPharmaceutical Preparations

Identifiers

PMID28675584
PMCPMC5593164
OpenAlexW2729565015

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.