Evidence map›Paper›PMID 28595617›Full record

ArticleBMC endocrine disorders2017

Quality measure and weight loss assessment in patients with type 2 diabetes mellitus treated with canagliflozin or dipeptidyl peptidase-4 inhibitors.

Carol H Wysham, Patrick Lefebvre, Dominic Pilon, Mike Ingham, Marie-Hélène Lafeuille, Bruno Emond, Rhiannon Kamstra, Wing Chow, Michael Pfeifer, Mei Sheng Duh

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Article in BMC endocrine disorders, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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 5 institutions in 2 countries.

Carol H WyshamRockwood Clinic, Spokane, WA, USA.
Patrick LefebvreGroupe d'analyse, Ltée, 1000 De La Gauchetière West, Bureau 1200, Montréal, Québec, H3B 4W5, Canada.
Dominic PilonGroupe d'analyse, Ltée, 1000 De La Gauchetière West, Bureau 1200, Montréal, Québec, H3B 4W5, Canada. Dominic.Pilon@analysisgroup.com.ORCID http://orcid.org/0000-0003-2380-1495
Mike InghamJanssen Scientific Affairs, LLC, Raritan, New Jersey, USA.
Marie-Hélène LafeuilleGroupe d'analyse, Ltée, 1000 De La Gauchetière West, Bureau 1200, Montréal, Québec, H3B 4W5, Canada.
Bruno EmondGroupe d'analyse, Ltée, 1000 De La Gauchetière West, Bureau 1200, Montréal, Québec, H3B 4W5, Canada.
Rhiannon KamstraGroupe d'analyse, Ltée, 1000 De La Gauchetière West, Bureau 1200, Montréal, Québec, H3B 4W5, Canada.
Wing ChowJohnson & Johnson, New Brunswick, NJ, USA.
Michael PfeiferJanssen Scientific Affairs, LLC, Raritan, New Jersey, USA.
Mei Sheng DuhAnalysis Group, Inc., Boston, MA, USA.
Group for Research in Decision Analysis · CAJanssen (United States) · USAnalysis Group (United States) · USJohnson & Johnson (United States) · USRockwood Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAchieving control of glycated hemoglobin (HbA1c), blood pressure (BP), and body weight (BW) remains a challenge for most patients with type 2 diabetes mellitus (T2DM). In clinical trials, canagliflozin (CANA), an inhibitor of sodium-glucose co-transporter 2, has shown significant improvement compared to some dipeptidyl peptidase-4 (DPP-4) inhibitors in the achievement of such quality measures. This study used recent electronic medical records (EMR) data to assess quality measure achievement of HbA1C, BP, and BW loss in patients treated with CANA versus DPP-4 inhibitors.

methodsAdult patients with ≥1 T2DM diagnosis and ≥12 months of clinical activity (baseline) before first CANA or DPP-4 prescription (index) were identified in the QuintilesIMS Health Real-World Data EMRs-US database (03/29/2012-10/30/2015). Patients were observed from the index to last encounter. Inverse probability of treatment weighting (IPTW) was used to adjust for observed baseline confounders between groups. Kaplan-Meier (KM) rates and Cox proportional hazard models were used to compare achievement of HbA1c < 7% (among patients <65 years old), HbA1c < 8%, systolic BP < 140 mmHg, diastolic BP < 90 mmHg, and BW loss ≥ 5% among patients not meeting these respective targets at baseline.

resultsA total of 10,702 CANA and 17,679 DPP-4 patients were selected. IPTW resulted in balanced baseline demographic, comorbidity, and disease characteristics (CANA: N = 13,793, mean age: 59.0 years; DPP-4: N = 14,588, mean age: 58.9 years). Up until 24 months post-index, CANA patients were more likely to reach an HbA1c < 7% (hazard ratio [HR] = 1.10, P = 0.007, KM rates: 42.8% vs. 40.3%), an HbA1c < 8% (HR = 1.16, P < 0.001, KM rates: 63.7% vs. 60.0%), and a BW loss ≥ 5% (HR = 1.46, P < 0.001, KM rates: 55.2% vs. 46.2%), compared to DPP-4 patients. Up until 12 months post-index, CANA patients were more likely to reach a systolic BP < 140 mmHg (HR = 1.07, P = 0.04, KM rates: 87.8% vs. 83.9%). but not a diastolic BP < 90 mmHg (HR = 0.95, P = 0.361), compared to DPP-4 patients.

conclusionsThis retrospective study of EMR data covering up to 30 months after CANA approval (March 2013) suggests that patients initiated on CANA were more likely to reach HbA1c, systolic BP, and weight loss objectives specified by general diabetes care guidelines than patients initiated on DPP-4 inhibitors.

Indexed as

Weight LossAdultCanagliflozinDiabetes Mellitus, Type 2Dipeptidyl-Peptidase IV InhibitorsElectronic Health RecordsHumansHypoglycemic AgentsKaplan-Meier EstimateTreatment OutcomeCanagliflozinDipeptidyl-Peptidase IV InhibitorsHypoglycemic AgentsBlood pressureCanagliflozinDipeptidyl peptidase-4 inhibitorHbA1cType 2 diabetes mellitusWeight loss

Identifiers

PMID28595617
PMCPMC5465542
OpenAlexW2622984285

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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 OpenQuestion graph.