Evidence map›Paper›PMID 30828962›Full record

ArticleDiabetes, obesity & metabolism2019

Time trends in prescribing of type 2 diabetes drugs, glycaemic response and risk factors: A retrospective analysis of primary care data, 2010-2017.

John M Dennis, William E Henley, Andrew P McGovern, Andrew J Farmer, Naveed Sattar, Rury R Holman, Ewan R Pearson, Andrew T Hattersley, Beverley M Shields, Angus G Jones and 1 more

Abstract read
In one paragraph

Article in Diabetes, obesity & metabolism, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

John M DennisHealth Statistics Group, Institute of Health Research, University of Exeter Medical School, Exeter, UK.ORCID 0000-0002-7171-732X
William E HenleyHealth Statistics Group, Institute of Health Research, University of Exeter Medical School, Exeter, UK.
Andrew P McGovernInstitute of Biomedical and Clinical Science, Royal Devon and Exeter Hospital, Exeter, UK.
Andrew J FarmerNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Naveed SattarInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
Rury R HolmanDiabetes Trials Unit, Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK.ORCID 0000-0002-1256-874X
Ewan R PearsonDivision of Molecular and Clinical Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK.
Andrew T HattersleyInstitute of Biomedical and Clinical Science, Royal Devon and Exeter Hospital, Exeter, UK.
Beverley M ShieldsInstitute of Biomedical and Clinical Science, Royal Devon and Exeter Hospital, Exeter, UK.
Angus G JonesInstitute of Biomedical and Clinical Science, Royal Devon and Exeter Hospital, Exeter, UK.ORCID 0000-0002-0883-7599
MASTERMIND consortium

Funding

Medical Research Council MR/K005707/1Medical Research Council MR/N00633X/1
6 · The paper itself

Abstract

aimTo describe population-level time trends in prescribing patterns of type 2 diabetes therapy, and in short-term clinical outcomes (glycated haemoglobin [HbA1c], weight, blood pressure, hypoglycaemia and treatment discontinuation) after initiating new therapy. MATERIALS AND

methodsWe studied 81 532 people with type 2 diabetes initiating a first- to fourth-line drug in primary care between 2010 and 2017 inclusive in United Kingdom electronic health records (Clinical Practice Research Datalink). Trends in new prescriptions and subsequent 6- and 12-month adjusted changes in glycaemic response (reduction in HbA1c), weight, blood pressure and rates of hypoglycaemia and treatment discontinuation were examined.

resultsUse of dipeptidyl peptidase-4 inhibitors as second-line therapy near doubled (41% of new prescriptions in 2017 vs. 22% in 2010), replacing sulphonylureas as the most common second-line drug (29% in 2017 vs. 53% in 2010). Sodium-glucose co-transporter-2 inhibitors, introduced in 2013, comprised 17% of new first- to fourth-line prescriptions by 2017. First-line use of metformin remained stable (91% of new prescriptions in 2017 vs. 91% in 2010). Over the study period there was little change in average glycaemic response and in the proportion of people discontinuing treatment. There was a modest reduction in weight after initiating second- and third-line therapy (improvement in weight change 2017 vs. 2010 for second-line therapy: -1.5 kg, 95% confidence interval [CI] -1.9, -1.1; P < 0.001), and a slight reduction in systolic blood pressure after initiating first-, second- and third-line therapy (improvement in systolic blood pressure change 2017 vs. 2010 range: -1.7 to -2.1 mmHg; all P < 0.001). Hypoglycaemia rates decreased over time with second-line therapy (incidence rate ratio 0.94 per year, 95% CI 0.88, 1.00; P = 0.04), mirroring the decline in use of sulphonylureas.

conclusionsRecent changes in prescribing of therapy for people with type 2 diabetes have not led to a change in glycaemic response and have resulted in modest improvements in other population-level short-term clinical outcomes.

Indexed as

Hypoglycemic AgentsBlood GlucoseBody WeightDiabetes Mellitus, Type 2HumansHypoglycemiaPractice Patterns, Physicians'Retrospective StudiesRisk FactorsBlood GlucoseHypoglycemic Agentsglycaemic controlhypoglycaemiaprimary careSGLT2 inhibitortype 2 diabetesweight control

Identifiers

PMID30828962
PMCPMC6618851

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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.