Evidence map›Paper›PMID 25889498›Full record

ArticleBMC pharmacology & toxicology2015

Determinants of saxagliptin use among patients with type 2 diabetes mellitus treated with oral anti-diabetic drugs.

M Elle Saine, Dean M Carbonari, Craig W Newcomb, Melissa S Nezamzadeh, Kevin Haynes, Jason A Roy, Serena Cardillo, Sean Hennessy, Crystal N Holick, Daina B Esposito and 4 more

5 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in BMC pharmacology & toxicology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 5 registered trials, which are not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 21% 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.

NCT01086280 completednot on this map

Comparison of Risk of Major Cardiovascular Events Between Patients With Type 2 Diabetes Initiating Saxagliptin and Those Initiating Other Oral Antidiabetic Treatments

TypeobservationalSponsorAstraZenecaRan2010 to 2015Enrolled113,505ConditionsDiabetes Mellitus, Type 2
NCT01086293 completednot on this map

Comparison of Risk of Hospitalization With Acute Liver Failure Between Patients With Type 2 Diabetes Initiating Saxagliptin and Those Initiating Other Oral Antidiabetic Treatments

TypeobservationalSponsorAstraZenecaRan2010 to 2015Enrolled113,505ConditionsDiabetes Mellitus, Type 2
NCT01086306 completednot on this map

Comparison of Risk of Hospitalization for Infections Between Patients With Type 2 Diabetes Exposed to Saxagliptin and Those Exposed to Other Oral Anti-Diabetic Treatments

TypeobservationalSponsorAstraZenecaRan2010 to 2015Enrolled113,505ConditionsDiabetes Mellitus, Type 2
NCT01086319 completednot on this map

Comparison of Risk of Hospitalization for Severe Hypersensitivity (Including Severe Cutaneous Reactions) Between Patients With Type 2 Diabetes Initiating Saxagliptin and Those Initiating Other Oral Antidiabetic Treatments

TypeobservationalSponsorAstraZenecaRan2009 to 2015Enrolled113,505ConditionsDiabetes Mellitus, Type 2
NCT01377935 completednot on this map

Comparison of Risk of Hospitalization for Acute Kidney Injury Between Patients With Type 2 Diabetes Initiating Saxagliptin and Those Initiating Other Oral Antidiabetic Treatments

TypeobservationalSponsorAstraZenecaRan2009 to 2015Enrolled113,505ConditionsDiabetes Mellitus, Type 2
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Observational
  2. 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

14 authors at 4 institutions in 2 countries.

M Elle SaineDepartment of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, 423 Guardian Drive, Philadelphia, PA, USA. msaine@mail.med.upenn.edu.
Dean M CarbonariDepartment of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, 423 Guardian Drive, Philadelphia, PA, USA. dcarbo@mail.med.upenn.edu.
Craig W NewcombDepartment of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, 423 Guardian Drive, Philadelphia, PA, USA. cnewcomb@mail.med.upenn.edu.
Melissa S NezamzadehDepartment of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, 423 Guardian Drive, Philadelphia, PA, USA. MNezamzadeh@glgroup.com.
Kevin HaynesDepartment of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, 423 Guardian Drive, Philadelphia, PA, USA. khaynes@healthcore.com.
Jason A RoyDepartment of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, 423 Guardian Drive, Philadelphia, PA, USA. jaroy@mail.med.upenn.edu.
Serena CardilloDepartment of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. Serena.Cardillo@uphs.upenn.edu.
Sean HennessyDepartment of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, 423 Guardian Drive, Philadelphia, PA, USA. hennessy@upenn.edu.
Crystal N HolickHealthCore, Inc, Wilmington, DE, USA. CHolick@healthcore.com.
Daina B EspositoHealthCore, Inc, Wilmington, DE, USA. desposito@healthcore.com.
Arlene M GallagherClinical Practice Research Datalink, Medicines and Healthcare Products Regulatory Agency, London, UK. arlene.gallagher@mhra.gsi.gov.uk.
Harshvinder BhullarCegedim Strategic Data Medical Research, London, UK. Harshvinder.BHULLAR@cegedim.com.
Brian L StromDepartment of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, 423 Guardian Drive, Philadelphia, PA, USA. bstrom@ca.rutgers.edu.
Vincent Lo ReDepartment of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, 423 Guardian Drive, Philadelphia, PA, USA. vincentl@mail.med.upenn.edu.
University of Pennsylvania · USWilmington University · USClinical Practice Research Datalink · GBHealth Data Research UK · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe patterns and determinants of saxagliptin use among patients with type 2 diabetes mellitus (T2DM) are unknown in real-world settings. We compared the characteristics of T2DM patients who were new initiators of saxagliptin to those who were new initiators of non-dipeptidyl peptidase-4 (DPP-4) inhibitor oral anti-diabetic drugs (OADs) and identified factors associated with saxagliptin use.

methodsWe conducted a cross-sectional study within the Clinical Practice Research Datalink (CPRD), The Health Improvement Network (THIN), US Medicare, and the HealthCore Integrated Research Database (HIRD(SM)) across the first 36 months of saxagliptin availability (29 months for US Medicare). Patients were included if they were: 1) ≥18 years old, 2) newly prescribed saxagliptin or a non-DPP-4 inhibitor OAD, and 3) enrolled in their respective database for 180 days. For each saxagliptin initiator, we randomly selected up to ten non-DPP-4 inhibitor OAD initiators matched on age, sex, and geographic region. Conditional logistic regression was used to identify determinants of saxagliptin use.

resultsWe identified 64,079 saxagliptin initiators (CPRD: 1,962; THIN: 2,084; US Medicare: 51,976; HIRD(SM): 8,057) and 610,660 non-DPP-4 inhibitor OAD initiators (CPRD: 19,484; THIN: 19,936; US Medicare: 493,432; HIRD(SM): 77,808). Across all four data sources, prior OAD use, hypertension, and hyperlipidemia were associated with saxagliptin use. Saxagliptin initiation was also associated with hemoglobin A1c results >8% within the UK data sources, and a greater number of hemoglobin A1c measurements in the US data sources.

conclusionsIn these UK and US data sources, initiation of saxagliptin was associated with prior poor glycemic control, prior OAD use, and diagnoses of hypertension and hyperlipidemia.

trial registrationClinicalTrials.gov identifiers NCT01086280 , NCT01086293 , NCT01086319 , NCT01086306 , and NCT01377935.

Indexed as

AdamantaneAdministration, OralAdolescentAdultCross-Sectional StudiesDiabetes Mellitus, Type 2DipeptidesDipeptidyl-Peptidase IV InhibitorsFemaleGlycated HemoglobinHumansHyperlipidemiasHypertensionHypoglycemic AgentsMaleMiddle AgedAdamantaneDipeptidesDipeptidyl-Peptidase IV InhibitorsGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic Agentssaxagliptin

Identifiers

PMID25889498
PMCPMC4404079
OpenAlexW1987364764

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.