Evidence map›Paper›PMID 30767173›Full record

ArticleDiabetes therapy : research, treatment and education of diabetes and related disorders2019

Rates of Hypoglycemia Predicted in Patients with Type 2 Diabetes on Insulin Glargine 300 U/ml Versus First- and Second-Generation Basal Insulin Analogs: The Real-World LIGHTNING Study.

Jeremy Pettus, Ronan Roussel, Fang Liz Zhou, Zsolt Bosnyak, Jukka Westerbacka, Rachele Berria, Javier Jimenez, Björn Eliasson, Irene Hramiak, Timothy Bailey and 1 more

Open access · goldAbstract read
In one paragraph

Article in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
7.3field-weighted citation impact, top 2% 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

37 citing papers in PubMed, 64 citations in OpenAlex.

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  14. Real-World Effectiveness and Safety of Insulin Glargine 300 U/mL in Insulin-Naïve People with Type 2 Diabetes: the ATOS Study.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2022
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  16. Clinical Use of Insulin Glargine 300 U/mL in Adults with Type 2 Diabetes: Hypothetical Case Studies.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2022
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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

11 authors at 8 institutions in 4 countries.

Jeremy PettusSchool of Medicine, University of California, San Diego, CA, USA.
Ronan RousselInserm U1138, Centre de Recherche Des Cordeliers, Paris, France.
Fang Liz ZhouSanofi, Bridgewater, NJ, USA.
Zsolt BosnyakSanofi, Paris, France.
Jukka Westerbacka
Rachele BerriaSanofi, Bridgewater, NJ, USA.
Javier JimenezSanofi, Bridgewater, NJ, USA.
Björn EliassonInstitute of Medicine, University of Gothenburg, Sahlgrenska University Hospital, Goteborg, Sweden.
Irene HramiakLawson Research Institute, University of Western Ontario, London, ON, Canada.
Timothy BaileyAMCR Institute, Escondido, CA, USA.
Luigi MeneghiniDivision of Endocrinology, University of Texas Southwestern Medical Center, Dallas, TX, USA. Luigi.Meneghini@UTSouthwestern.edu.ORCID http://orcid.org/0000-0003-4539-2725
Sanofi (United States) · USAMCR Institute · USInserm · FRParkland Health & Hospital System · USSahlgrenska University Hospital · SESanofi (France) · FRUniversity of California San Diego · USWestern University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe LIGHTNING study applied conventional and advanced analytic approaches to model, predict, and compare hypoglycemia rates of people with type 2 diabetes (T2DM) on insulin glargine 300 U/ml (Gla-300) with those on first-generation (insulin glargine 100 U/ml [Gla-100]; insulin detemir [IDet]) or second-generation (insulin degludec [IDeg]) basal-insulin (BI) analogs, utilizing a large real-world database.

methodsData were collected between 1 January 2007 and 31 March 2017 from the Optum Humedica US electronic health records [EHR] database. Patient-treatments, the period during which a patient used a specific BI, were analyzed for patients who switched from a prior BI or those who newly initiated BI therapy. Data were analyzed using two approaches: propensity score matching (PSM) and a predictive modeling approach using machine learning.

resultsA total of 831,456 patients with T2DM receiving BI were included from the EHR data set. Following selection, 198,198 patient-treatments were available for predictive modeling. The analysis showed that rates of severe hypoglycemia (using a modified definition) were approximately 50% lower with Gla-300 than with Gla-100 or IDet in insulin-naïve individuals, and 30% lower versus IDet in BI switchers (all p < 0.05). Similar rates of severe hypoglycemia were predicted for Gla-300 and IDeg, regardless of prior insulin experience. Similar results to those observed in the overall cohorts were seen in analyses across subgroups at a particularly high risk of hypoglycemia. PSM (performed on 157,573 patient-treatments) revealed comparable reductions in HbA

conclusionsBased on real-world data, predicted rates of severe hypoglycemia with Gla-300 tended to be lower versus first-generation BI analogs and similar versus IDeg in a wide spectrum of patients with T2DM.

fundingSanofi, Paris, France.

Indexed as

Basal insulinInsulin degludecInsulin detemirInsulin glargineMachine learningPredictive modelingReal-world evidenceType 2 diabetes

Identifiers

PMID30767173
PMCPMC6437256
OpenAlexW2914739803

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.