Evidence map›Paper›PMID 31405345›Full record

ArticleJournal of managed care & specialty pharmacy2019

Descriptive Analysis of Long- and Intermediate-Acting Insulin and Key Safety Outcomes in Adults with Type 2 Diabetes Mellitus.

Daniel J Kent, Cheryl N McMahill-Walraven, Catherine A Panozzo, Pamala A Pawloski, Kevin Haynes, James Marshall, Jeffrey Brown, Bernadette Eichelberger, Catherine M Lockhart

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Journal of managed care & specialty pharmacy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02922179 (Descriptive Analysis of Long- and Intermediate-Acting Insulin in Adult Diabetics), which is 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
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.

NCT02922179 completednot on this map

Descriptive Analysis of Long- and Intermediate-Acting Insulin in Adult Diabetics

TypeobservationalSponsorBiologics & Biosimilars Collective Intelligence ConsortiumRan2011 to 2019Enrolled103,951ConditionsDiabetesArmsLong- and intermediate- acting insulins
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. The US Food and Drug Administration Sentinel System: a national resource for a learning health system.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  2. Newer long-acting insulin prescriptions for patients with type 2 diabetes: prevalence and practice variation in a retrospective cohort study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2022
    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 at 5 institutions in 1 country.

Daniel J KentKaiser Permanente of Washington, Seattle.
Cheryl N McMahill-WalravenAetna, Blue Bell, Pennsylvania.
Catherine A PanozzoHarvard Pilgrim Healthcare Institute, Boston, Massachusetts.
Pamala A PawloskiHealthPartners, Bloomington, Minnesota.
Kevin HaynesHealthCore, Wilmington, Delaware.
James MarshallHarvard Pilgrim Healthcare Institute, Boston, Massachusetts.
Jeffrey BrownHarvard Pilgrim Healthcare Institute, Boston, Massachusetts.
Bernadette EichelbergerBiologics and Biosimilars Collective Intelligence Consortium, Alexandria, Virginia.
Catherine M LockhartBiologics and Biosimilars Collective Intelligence Consortium, Alexandria, Virginia.
Harvard Pilgrim Health Care · USAetna (United States) · USHealthPartners · USKaiser Permanente · USWilmington University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs new biosimilar and follow-on insulins enter the market, more data are needed on safety, effectiveness, and patterns of use for these products to inform prescriber and patient decision-making regarding treatment. Additionally, data are needed regarding real-world patterns of use to inform future studies comparing the safety and effectiveness of bio-similars to already approved agents for diabetes treatment.

objectiveTo analyze the medication use patterns, adverse events, and availability of glycated hemoglobin (A1c) values for adult patients with type 2 diabetes mellitus (T2DM) who use long-acting insulin (LAI) or neutral protamine Hagedorn (NPH), an intermediate-acting insulin.

methodsWe used the Biologics and Biosimilars Collective Intelligence Consortium's (BBCIC) distributed research network (DRN) for this descriptive analysis. The analysis time frame was January 1, 2011, to September 30, 2015, and included patients continuously insured for at least 183 days before the first date of a filled prescription for LAI or NPH insulin alone or with rapid- or short-acting insulin or sulfonylureas, whether newly starting insulin or switching to a different product. Insulin exposure episodes were the unit of analysis, and patients were classified in cohorts according to treatment. We followed patients until end of health plan enrollment or the end of the study period. We used occurrence of a study outcome, switch to another medication regimen, discontinuation of the current medication, or study end date to mark the end of an insulin episode. We describe demographics and availability of A1c values for analysis. Study outcomes included severe hypoglycemic events and major adverse cardiac events (MACE).

resultsWe identified 103,951 patients with T2DM from a database of 39.1 million patients with commercial or Medicare Advantage pharmacy and medical benefits, who contributed 279,533 unique insulin exposure episodes. Most episodes (89%) included patients using LAI, and 52% of patients contributed data to 2 or more exposure cohorts. Insulin episodes lasted an average of 3.5 months, and patients had an average follow-up of 8.6 months. The unadjusted rate of severe hypoglycemic events requiring medical attention was 96.9 per 10,000 patient-years at risk (10kPYR). The unadjusted incident MACE rate was 676.9 events per 10kPYR. 38,330 T2DM patients in the BBCIC DRN had a baseline A1c available, and of those, less than 50% had a follow-up A1c result.

conclusionsAmong patients with T2DM, our observed insulin patterns of use and rates of severe hypoglycemic outcomes and MACE are consistent with other studies. We noted a paucity of A1c results available, which implies that additional data sources may be needed to augment the BBCIC DRN. DISCLOSURES: This study was coordinated and funded by the Biologics and Biosimilars Collective Intelligence Consortium (BBCIC) and represents the independent findings of the BBCIC Insulins Principal Investigator and the BBCIC Insulins Research Team. Lockhart is employed by the BBCIC and the Academy of Managed Care Pharmacy (AMCP). Eichelberger was employed by the BBCIC and AMCP at the time of this study. McMahill-Walraven is employed by Aetna, a CVS Health business. Panozzo, Marshall, and Brown are employed by Harvard Pilgrim Healthcare Institute. Aetna was reimbursed for data and analytic support from Harvard Pilgrim Healthcare Institute and the Reagan Udall Foundation for the U.S. Food and Drug Administration. Aetna receives external funding through research grants and subcontracts with Harvard Pilgrim Healthcare Institute, which are funded by the FDA, NIH, PCORI, BBCIC, Pfizer, and GSK; the Reagan-Udall Foundation for IMEDS; and PCORI for the ADAPTABLE Study. This work was previously presented as a poster at AMCP Nexus 2018; October 22-25, 2018; in Orlando, FL.

Indexed as

AdolescentAdultAgedAged, 80 and overBiological ProductsBiosimilar PharmaceuticalsBlood GlucoseCohort StudiesDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHeart DiseasesHumansHypoglycemiaHypoglycemic AgentsInsulin, Long-ActingBiological ProductsBiosimilar PharmaceuticalsBlood GlucoseGlycated HemoglobinHypoglycemic AgentsInsulin, Long-ActingInsulin, Short-ActingSulfonylurea Compounds

Identifiers

PMID31405345
PMCPMC10397971
OpenAlexW2968407633

What OpenQuestion holds

Textmetadata
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.