Evidence map›Paper›PMID 25515869›Full record

ArticleThe Annals of pharmacotherapy2015

Regional variation in use of a new class of antidiabetic medication among medicare beneficiaries: the case of incretin mimetics.

Zachary A Marcum, Julia Driessen, Carolyn T Thorpe, Julie M Donohue, Walid F Gellad

Abstract readComparative Study
In one paragraph

Article in The Annals of pharmacotherapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Article
  6. 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

5 authors.

Zachary A MarcumUniversity of Pittsburgh, Pittsburgh, PA, USA zam12@pitt.edu.
Julia DriessenUniversity of Pittsburgh, Pittsburgh, PA, USA.
Carolyn T ThorpeUniversity of Pittsburgh, Pittsburgh, PA, USA VA Pittsburgh Healthcare System, Pittsburgh, PA, USA.
Julie M DonohueUniversity of Pittsburgh, Pittsburgh, PA, USA.
Walid F GelladUniversity of Pittsburgh, Pittsburgh, PA, USA VA Pittsburgh Healthcare System, Pittsburgh, PA, USA.

Funding

UNIVERSITY OF PITTSBURGH CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTE: BPCAUL1RR024153 · NCRR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2006 to 2011
$73.9M
VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Caterina Rosano · 2004 to 2026
$28.6M
Pitt Integrated Clinical and Geroscience Research Training ProgramT32AG021885 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Aditi U Gurkar · 2003 to 2026
$6.7M
The Role of Physician Networks in the Adoption of New Prescription Drugs.R01HL119246 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DONOHUE, JULIE MARIE · 2013 to 2016
$3.0M
Enhancing the Detection and Management of Adverse Drug Events in the Nursing HomeR01HS018721 · AHRQ · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HANDLER, STEVEN MARK · 2010 to 2013
$2.0M
Longitudinal Impact of CNS Polypharmacy on Geriatric SyndromesR01AG027017 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HANLON, JOSEPH T · 2006 to 2012
$801k
UPITT Program for Pharmaceutical Outcomes Research in AgingK07AG033174 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HANLON, JOSEPH T · 2009 to 2013
$461k
AHRQ HHS R01 HS018721AHRQ HHS R01HS018721HSRD VA CDA 09-207NCRR NIH HHS UL1 RR024153NHLBI NIH HHS R01 HL119246NHLBI NIH HHS R01HL119246NIA NIH HHS K07 AG033174NIA NIH HHS K07AG033174NIA NIH HHS P30 AG024827NIA NIH HHS P30AG024827NIA NIH HHS R01 AG027017NIA NIH HHS R01AG027017NIA NIH HHS T32 AG021885
6 · The paper itself

Abstract

backgroundWhen incretin mimetic (IM) medications were introduced in 2005, their effectiveness compared with other less-expensive second-line diabetes therapies was unknown, especially for older adults. Physicians likely had some uncertainty about the role of IMs in the diabetes treatment armamentarium. Regional variation in uptake of IMs may be a marker of such uncertainty.

objectiveTo investigate the extent of regional variation in the use of IMs among beneficiaries and estimate the cost implications for Medicare.

methodsThis was a cross-sectional analysis of 2009-2010 claims data from a nationally representative sample of 238 499 Medicare Part D beneficiaries aged ≥65 years, who were continuously enrolled in fee-for-service Medicare and Part D and filled ≥1 antidiabetic prescription. Beneficiaries were assigned to 1 of 306 hospital-referral regions (HRRs) using ZIP codes. The main outcome was adjusted proportion of antidiabetic users in an HRR receiving an IM.

resultsOverall, 29 933 beneficiaries (12.6%) filled an IM prescription, including 26 939 (11.3%) for sitagliptin or saxagliptin and 3718 (1.6%) for exenatide or liraglutide. The adjusted proportion of beneficiaries using IMs varied more than 3-fold across HRRs, from 5th and 95th percentiles of 5.2% to 17.0%. Compared with non-IM users, IM users faced a 155% higher annual Part D plan ($1067 vs $418) and 144% higher patient ($369 vs $151) costs for antidiabetic prescriptions.

conclusionAmong older Part D beneficiaries using antidiabetic drugs, substantial regional variation exists in the use of IMs, not accounted for by sociodemographics and health status. IM use was associated with substantially greater costs for Part D plans and beneficiaries.

Indexed as

AgedAged, 80 and overCross-Sectional StudiesDiabetes MellitusFemaleHumansHypoglycemic AgentsIncretinsMaleMedicare Part DMetforminSulfonylurea CompoundsThiazolidinedionesUnited StatesHypoglycemic AgentsIncretinsMetforminSulfonylurea CompoundsThiazolidinedionesdiabetesMedicarepharmacoepidemiologyregional variation

Identifiers

PMID25515869
PMCPMC4876962

What OpenQuestion holds

Texttitle and abstract
LicenceTDM
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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.