Evidence map›Paper›PMID 32442290›Full record

ArticleJAMA network open2020

Assessment of Second-Generation Diabetes Medication Initiation Among Medicare Enrollees From 2007 to 2015.

Lauren G Gilstrap, Rachel A Blair, Haiden A Huskamp, Katya Zelevinsky, Sharon-Lise Normand

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 22 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Lauren G GilstrapHeart and Vascular Center, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.
Rachel A BlairDivision of Endocrinology, Brigham and Women's Hospital, Boston, Massachusetts.
Haiden A HuskampDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Katya ZelevinskyDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Sharon-Lise NormandDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Harvard University · USBrigham and Women's Hospital · USDartmouth–Hitchcock Medical Center · US

Funding

TRAINING PROGRAM IN HYPERTENSIONT32HL007609 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI ADLER, GAIL KURR · 1985 to 2022
$10.2M
Technology Diffusion PathwaysU01MH103018 · NIMH · HARVARD MEDICAL SCHOOL · PI HUSKAMP, HAIDEN A., NORMAND, SHARON-LISE TERESA · 2013 to 2017
$2.7M
The Impact of Quality Metrics on Outcomes Among Elderly Heart Failure PatientsK23HL142835 · NHLBI · DARTMOUTH-HITCHCOCK CLINIC · PI GILSTRAP, LAUREN GRAY · 2018 to 2022
$831k
NHLBI NIH HHS K23 HL142835NHLBI NIH HHS T32 HL007609NIMH NIH HHS U01 MH103018
6 · The paper itself

Abstract

Importance: Little is known about how new and expensive drugs diffuse into practice affects health care costs. Objective: To describe the variation in second-generation diabetes drug use among Medicare enrollees between 2007 and 2015. Design, Setting, and Participants: This population-based, cross-sectional study included data from 100% of Medicare Parts A, B, and D enrollees who first received diabetes drug therapy from January 1, 2007, to December 31, 2015. Patients with type 1 diabetes were excluded. Data were analyzed beginning in the spring of 2018, and revisions were completed in 2019. Exposures: For each patient, the initial diabetes drug choice was determined; drugs were classified as first generation (ie, approved before 2000) or second generation (ie, approved after 2000, including dipeptidyl peptidase 4 [DPP-4] inhibitors, glucagon-like peptide-1 [GLP-1] receptor agonists, and sodium-glucose cotransporter-2 [SGLT-2] inhibitors). Main Outcomes and Measures: The primary outcome was the between-practice variation in use of second-generation diabetes drugs between 2007 and 2015. Practices with use rates of second-generation diabetes drugs more than 1 SD above the mean were considered high prescribing, while those with use rates more than 1 SD below the mean were considered low prescribing. Results: Among 1 182 233 patients who initiated diabetes drug therapy at 42 977 practices between 2007 and 2015, 1 104 718 (93.4%) were prescribed a first-generation drug (mean [SD] age, 75.4 [6.7] years; 627 134 [56.8%] women) and 77 515 (6.6%) were prescribed a second-generation drug (mean [SD] age, 76.5 [7.2] years; 44 697 [57.7%] women). By December 2015, 22 457 practices (52.2%) had used DPP-4 inhibitors once, compared with 3593 practices (8.4%) that had used a GLP-1 receptor agonist once. Furthermore, 17 452 practices (40.6%) were using DPP-4 inhibitors in 10% of eligible patients, while 1286 practices (3.0%) were using GLP-1 receptor agonists in 10% of eligible patients, and SGLT-2 inhibitors, available after March 2013, were used at least once by 1716 practices (4.0%) and used in 10% of eligible patients by 872 practices (2.0%) by December 2015. According to Poisson random-effect regression models, beneficiaries in high-prescribing practices were more than 3-fold more likely to receive DPP-4 inhibitors (relative risk, 3.55 [95% CI, 3.42-3.68]), 24-fold more likely to receive GLP-1 receptor agonists (relative risk, 24.06 [95% CI, 14.14-40.94]) and 60-fold more likely to receive SGLT-2 inhibitors (relative risk, 60.41 [95% CI, 15.99-228.22]) compared with beneficiaries in low-prescribing practices. Conclusions and Relevance: These findings suggest that there was substantial between-practice variation in the use of second-generation diabetes drugs between 2007 and 2015, with a concentration of use among a few prescribers and practices responsible for much of the early diffusion.

Indexed as

AgedCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleHumansHypoglycemic AgentsMaleMedicarePractice Patterns, Physicians'United StatesHypoglycemic Agents

Identifiers

PMID32442290
PMCPMC7244990
OpenAlexW3027914904

What OpenQuestion holds

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LicenceCC BY
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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.