Evidence map›Paper›PMID 28002889›Full record

ArticleBritish journal of clinical pharmacology2017

Variability in response to albuminuria-lowering drugs: true or random?

Sergei I Petrykiv, Dick de Zeeuw, Frederik Persson, Peter Rossing, Ron T Gansevoort, Gozewijn D Laverman, Hiddo J L Heerspink

Open access · bronzeAbstract read
In one paragraph

Article in British journal of clinical pharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 26 citations in OpenAlex.

  1. Trial
  2. Trial
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  4. Proteinuria and cholesterol reduction are independently associated with less renal function decline in statin-treated patients; a post hoc analysis of the PLANET trials.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2019
    Trial
  5. Review
  6. Article
  7. Review
  8. Up-Date on Diabetic Nephropathy.Life (Basel, Switzerland) · 2022
    Review
  9. Article
  10. Precision Nephrology in Patients with Diabetes and Chronic Kidney Disease.International journal of molecular sciences · 2022
    Review
  11. OMICS in Chronic Kidney Disease: Focus on Prognosis and Prediction.International journal of molecular sciences · 2021
    Review
  12. Review
  13. Review
  14. Review
  15. Unraveling Cardiovascular Risk in Renal Patients: A New Take on Old Tale.Frontiers in cell and developmental biology · 2019
    Review
  16. Biological Variability of Estimated GFR and Albuminuria in CKD.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2018
    Article
  17. Review
  18. Observational
  19. Variability in response to albuminuria-lowering drugs: true or random?British journal of clinical pharmacology · 2017
    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

7 authors at 5 institutions in 2 countries.

Sergei I PetrykivDepartment of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Dick de ZeeuwDepartment of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Frederik PerssonSteno Diabetes Center, Gentofte, Denmark.
Peter RossingSteno Diabetes Center, Gentofte, Denmark.
Ron T GansevoortDepartment of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Gozewijn D LavermanZiekenhuisgroep Twente, Almelo, The Netherlands.
Hiddo J L HeerspinkDepartment of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
University Medical Center Groningen · NLUniversity of Groningen · NLNovo Nordisk Foundation · DKSteno Diabetes Center · DKZiekenhuis Groep Twente · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsAlbuminuria-lowering drugs have shown different effect size in different individuals. Since urine albumin levels are known to vary considerably from day-to-day, we questioned whether the between-individual variability in albuminuria response after therapy initiation reflects a random variability or a true response variation to treatment. In addition, we questioned whether the response variability is drug dependent.

methodsTo determine whether the response to treatment is random or a true drug response, we correlated in six clinical trials the change in albuminuria during placebo or active treatment (on-treatment) with the change in albuminuria during wash-out (off-treatment). If these responses correlate during active treatment, it suggests that at least part of the response variability can be attributed to drug response variability. We tested this for enalapril, losartan, aliskiren, atrasentan and paricalcitol.

resultsNo correlation between the on- and off-treatment albuminuria change was observed in the placebo arm of all clinical trials (R

conclusionThe degree of albuminuria lowering with antialbuminuric drugs varies between patients. This variability in response appears drug-class independent. Identifying which factors determine this initial short-term variation in drug response appears important since the degree of albuminuria lowering is related to subsequent long-term renoprotection.

Indexed as

AdultAgedAlbuminuriaCross-Over StudiesFemaleHumansKidney DiseasesMaleMiddle AgedRandomized Controlled Trials as TopicReproducibility of ResultsTreatment Outcomealbuminuriadrug responsepersonalized medicineprecision medicine

Identifiers

PMID28002889
PMCPMC5427237
OpenAlexW2584526957

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.