Evidence mapPaperPMID 32064793Full record

ArticleCPT: pharmacometrics & systems pharmacology2020

Differentiating the Sodium-Glucose Cotransporter 1 Inhibition Capacity of Canagliflozin vs. Dapagliflozin and Empagliflozin Using Quantitative Systems Pharmacology Modeling.

Victor Sokolov, Tatiana Yakovleva, Lulu Chu, Weifeng Tang, Peter J Greasley, Susanne Johansson, Kirill Peskov, Gabriel Helmlinger, David W Boulton, Robert C Penland

Open access · goldAbstract readComparative Study
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 8% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. A guide to uraemic toxicity.Nature reviews. Nephrology · 2026
    Review
  6. Review
  7. Review
  8. Article
  9. A Framework for Quantitative Systems Pharmacology Model Execution.Handbook of experimental pharmacology · 2025
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
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  19. Article
  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

10 authors at 3 institutions in 3 countries.

Victor SokolovM&S Decisions, Moscow, Russian Federation.
Tatiana YakovlevaM&S Decisions, Moscow, Russian Federation.
Lulu ChuClinical Pharmacology & Safety Sciences, R&D, Astrazeneca, Boston, Massachusetts, USA.
Weifeng TangClinical Pharmacology & Safety Sciences, R&D, Astrazeneca, Gaithersburg, USA.
Peter J GreasleyEarly Cardiovascular, Renal & Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
Susanne JohanssonClinical Pharmacology & Safety Sciences, R&D, Astrazeneca, Gothenburg, Sweden.
Kirill PeskovM&S Decisions, Moscow, Russian Federation.
Gabriel HelmlingerClinical Pharmacology & Safety Sciences, R&D, Astrazeneca, Boston, Massachusetts, USA.
David W BoultonClinical Pharmacology & Safety Sciences, R&D, Astrazeneca, Gaithersburg, USA.
Robert C PenlandClinical Pharmacology & Safety Sciences, R&D, Astrazeneca, Boston, Massachusetts, USA.
AstraZeneca (United States) · USAstraZeneca (Sweden) · SESechenov University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this research was to differentiate dapagliflozin, empagliflozin, and canagliflozin based on their capacity to inhibit sodium-glucose cotransporter (SGLT) 1 and 2 in patients with type 2 diabetes using a previously developed quantitative systems pharmacology model of renal glucose filtration, reabsorption, and excretion. The analysis was based on pooled, mean study-level data on 24-hour urinary glucose excretion, average daily plasma glucose, and estimated glomerular filtration rate collected from phase I and II clinical trials of SGLT2 inhibitors. Variations in filtered glucose across clinical studies were shown to drive the apparent differences in the glucosuria dose-response relationships among the gliflozins. A normalized dose-response analysis demonstrated similarity of dapagliflozin and empagliflozin, but not canagliflozin. At approved doses, SGLT1 inhibition by canagliflozin but not dapagliflozin or empagliflozin contributed to ~ 10% of daily urinary glucose excretion.

Indexed as

Benzhydryl CompoundsBlood GlucoseCanagliflozinClinical Trials, Phase I as TopicClinical Trials, Phase II as TopicDiabetes Mellitus, Type 2Dose-Response Relationship, DrugGlomerular Filtration RateGlucosidesHumansHypoglycemic AgentsModels, BiologicalSodium-Glucose Transporter 1Sodium-Glucose Transporter 2 InhibitorsSystems BiologyBenzhydryl CompoundsBlood GlucoseCanagliflozindapagliflozinempagliflozinGlucosidesHypoglycemic AgentsSLC5A1 protein, humanSodium-Glucose Transporter 1Sodium-Glucose Transporter 2 Inhibitors

Identifiers

PMID32064793
PMCPMC7180004
OpenAlexW3008828026

What Socratic holds

Texttitle and abstract
LicenceCC BY-NC-ND
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 Socratic graph.