Evidence map›Paper›PMID 23210765›Full record

Trial reportBritish journal of clinical pharmacology2013

The influence of kidney function on dapagliflozin exposure, metabolism and pharmacodynamics in healthy subjects and in patients with type 2 diabetes mellitus.

Sreeneeranj Kasichayanula, Xiaoni Liu, Melanie Pe Benito, Ming Yao, Marc Pfister, Frank P LaCreta, William Griffith Humphreys, David W Boulton

2 registry-linked trialsOpen access · bronzeAbstract readClinical Trial
In one paragraph

Trial report in British journal of clinical pharmacology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It reports registered trial NCT00554450. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
9.1field-weighted citation impact, top 1% 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.

NCT00554450 phase1completed

The Pharmacodynamics, Pharmacokinetics, and Safety of Dapagliflozin in Type 2 Diabetic Subjects With Mild, Moderate, and Severe Renal Impairment

Ran2006Enrolled40Registered outcomes9Posted comparisons0ConditionsDiabetes Mellitus, Type 2Armsdapagliflozin
Open the trial in the graph
NCT02113241 phase2 / phase3completedstarted 2014, after this paper: background citation

Effect of Dapagliflozin Administration on Metabolic Syndrome, Insulin Sensitivity, and Insulin Secretion

Ran2014Enrolled24Registered outcomes24Posted comparisons48ConditionsMetabolic Syndrome XArmsdapagliflozin, Placebo
Open the trial in the graph
3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 118 citations in OpenAlex.

  1. Pooled it
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  17. Pharmacokinetics under the COVID-19 storm.British journal of clinical pharmacology · 2023
    Article
  18. Effect ofFrontiers in pharmacology · 2023
    Article
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  20. 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

8 authors at 2 institutions in 3 countries.

Sreeneeranj KasichayanulaDiscovery Medicine and Clinical Pharmacology, Bristol-Myers Squibb Co, Princeton, NJ.
Xiaoni Liu
Melanie Pe Benito
Ming Yao
Marc Pfister
Frank P LaCreta
William Griffith Humphreys
David W Boulton
Bristol-Myers Squibb (Germany) · DEBristol-Myers Squibb (Sweden) · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AIM(S): This study assessed the effect of differences in renal function on the pharmacokinetics and pharmacodynamics of dapagliflozin, a renal sodium glucose co-transporter-2 (SGLT2) inhibitor for the treatment of type 2 diabetes mellitus (T2DM).

methodsA single 50 mg dose of dapagliflozin was used to assess pharmacokinetics and pharmacodynamics in five groups: healthy non-diabetic subjects; patients with T2DM and normal kidney function and patients with T2DM and mild, moderate or severe renal impairment based on estimated creatinine clearance. Subsequently, 20 mg once daily multiple doses of dapagliflozin were evaluated in the patients with T2DM. Formation rates of dapagliflozin 3-O-glucuronide (D3OG), an inactive metabolite, were evaluated using human isolated kidney and liver microsomes.

resultsPlasma concentrations of dapagliflozin and D3OG were incrementally increased with declining kidney function. Steady-state Cmax for dapagliflozin were 4%, 6% and 9% higher and for D3OG were 20%, 37% and 52% higher in patients with mild, moderate and severe renal impairment, respectively, compared with normal function. AUC(0,τ) was likewise higher. D3OG formation in kidney microsomes was three-fold higher than in liver microsomes and 109-fold higher than in intestine microsomes. Compared with patients with normal renal function, pharmacodynamic effects were attenuated with renal impairment. Steady-state renal glucose clearance was reduced by 42%, 83% and 84% in patients with mild, moderate or severe renal impairment, respectively.

conclusionsThese results indicate that both kidney and liver significantly contribute to dapagliflozin metabolism, resulting in higher systemic exposure with declining kidney function. Dapagliflozin pharmacodynamics in diabetic subjects with moderate to severe renal impairment are consistent with the observation of reduced efficacy in this patient population.

Indexed as

Sodium-Glucose Transporter 2 InhibitorsAdolescentAdultAgedBenzhydryl CompoundsBlood GlucoseDiabetes Mellitus, Type 2Dose-Response Relationship, DrugFemaleGlucosidesGlycosuriaHumansHypoglycemic AgentsKidneyKidney Function TestsLiverBenzhydryl CompoundsBlood GlucosedapagliflozinGlucosidesHypoglycemic AgentsSLC5A2 protein, humanSodium-Glucose Transporter 2Sodium-Glucose Transporter 2 Inhibitorsdapagliflozinglucuronosyltransferaserenal insufficiencysodium-glucose transporter 2type 2 diabetes mellitusUGT1A9

Identifiers

PMID23210765
PMCPMC3769670
OpenAlexW1606827863

What OpenQuestion holds

Textmetadata
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Registered trials

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.