Evidence mapPaperPMID 41836121Full record

ArticleCJC open2026

Practice Variation in Prescribing SGLT2-Inhibitors: A Population-Based Analysis from Alberta, Canada.

Rahim Kanji, Derek S Chew, Flora Au, David J T Campbell, Darren Lau, Reed F Beall, Paul E Ronksley, Braden Manns, Amity E Quinn

Abstract read
In one paragraph

Article in CJC open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

9 authors.

Rahim KanjiDepartment of Cardiac Sciences, Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Derek S ChewDepartment of Cardiac Sciences, Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Flora AuDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
David J T CampbellDepartment of Cardiac Sciences, Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Darren LauDepartment of Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada.
Reed F BeallDepartment of Community Health Services, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Paul E RonksleyDepartment of Community Health Services, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Braden MannsDepartment of Cardiac Sciences, Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Amity E QuinnDepartment of Community Health Services, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sodium glucose-cotransporter 2 inhibitors (SGLT2is) have been shown to reduce the risk of cardiorenal complications in select patient populations, yet their real-world uptake in clinical practice is limited. The objective of this study was to assess the factors influencing prescriber variation in SGLT2i use. Methods: Using administrative data from Alberta, Canada, we conducted a population-based cohort study of adults with a new prescription for any oral antihyperglycemic medication between 2014-2021. We used multilevel logistic regression to examine how patient and prescriber characteristics were associated with SGLT2i prescription and used the median odds ratio to quantify variation at the prescriber level. Results: Of 339,314 patients prescribed a new antihyperglycemic medication, 0.8% (n = 2852) were prescribed an SGLT2i. SGLT2i prescribing was more likely among male patients, younger patients, and those with obesity or heart failure. However, substantial variation was present in prescriber behaviour for SGLT2i, and prescriber factors had a greater influence on SGLT2i prescribing than patient-level factors (median odds ratio 3.55). Although family physicians accounted for greatest numbers of SGLT2i prescriptions overall, subspecialists, such as cardiologists, were more likely to prescribe SGLT2is (odds ratio 13.5, 95% confidence interval 8.9-20.5). Conclusions: The rate of new SGLT2i prescriptions was low during the study period. Both patient- and prescriber-level factors are associated with SGLT2i prescription, although variation in prescribing SGLT2i medications appears to be driven primarily by prescriber factors. Family physicians are responsible for the majority of SGLT2i prescriptions and represent a key provider group in aligning SGLT2i prescribing with guideline recommendations.

Indexed as

cardiovascular diseasediabetes mellitusSGLT2 inhibitors

Identifiers

PMID41836121
PMCPMC12983249

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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.