Evidence map›Paper›PMID 30008267›Full record

ArticleBMC medicine2018

Changes in HbA1c and weight, and treatment persistence, over the 18 months following initiation of second-line therapy in patients with type 2 diabetes: results from the United Kingdom Clinical Practice Research Datalink.

John Wilding, Thomas Godec, Kamlesh Khunti, Stuart Pocock, Robin Fox, Liam Smeeth, Per Clauson, Peter Fenici, Niklas Hammar, Jesús Medina

Open access · goldFull text read
In one paragraph

Article in BMC medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
4.9field-weighted citation impact, top 4% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.

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  11. Predictors of HbAScientific reports · 2023
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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

10 authors at 7 institutions in 3 countries.

John WildingUniversity of Liverpool, Liverpool, UK. j.p.h.wilding@liverpool.ac.uk.
Thomas GodecLondon School of Hygiene and Tropical Medicine, London, UK.
Kamlesh KhuntiUniversity of Leicester, Leicester, UK.
Stuart PocockLondon School of Hygiene and Tropical Medicine, London, UK.
Robin FoxBicester Health Centre, Bicester, UK.
Liam SmeethLondon School of Hygiene and Tropical Medicine, London, UK.
Per ClausonAstraZeneca, Gothenburg, Sweden.
Peter FeniciAstraZeneca, Luton, UK.
Niklas HammarAstraZeneca, Gothenburg, Sweden.
Jesús MedinaAstraZeneca Farmacéutica Spain, Madrid, Spain.
London School of Hygiene & Tropical Medicine · GBAstraZeneca (Sweden) · SEAstraZeneca (Spain) · ESAstraZeneca (United Kingdom) · GBBicester Community Hospital · GBUniversity of Leicester · GBUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntensification of metformin monotherapy with additional glucose-lowering drugs is often required in patients with type 2 diabetes (T2D). This study evaluated changes in HbA1c and weight, as well as treatment persistence, associated with different second-line therapies used in UK clinical practice.

methodsThe UK Clinical Practice Research Datalink was used to identify patients with T2D who initiated second-line therapy after metformin monotherapy between 1 August 2013 and 14 June 2016. Treatment persistence and changes in HbA1c and weight were assessed at 6-month intervals up to 18 months.

resultsIn total, 9097 patients (mean age 61.2 years, 57.2% men, mean [standard deviation] HbA1c 9.0% [1.8]/ 75 mmol/mol [19.7]) were included in the analysis, with a median 2.3 years between initiating metformin monotherapy and initiating second-line therapy. Patients were stratified according to second-line therapy: metformin in combination with sulfonylurea (SU; n = 4655 [51.2%]), a dipeptidyl peptidase-4 inhibitor (DPP-4 inhibitor; n = 2899 [31.9%]), or a sodium-glucose cotransporter-2 inhibitor (SGLT-2 inhibitor; n = 441 [4.9%]) or other therapies (all other second-line treatments; n = 1102 [12.1%]). At 18 months, the cumulative proportion of patients changing treatment was lowest for those who received metformin plus an SGLT-2 inhibitor (42.3%), followed by patients on metformin plus SU or metformin plus a DPP-4 inhibitor (46.8%). HbA1c reductions were seen with all second-line therapies, with an overall mean (standard error) reduction of -1.23% (0.05)/-13.4 mmol/mol (0.5). Changes were directly, but not linearly, related to baseline HbA1c and were greater in those with higher HbA1c at baseline. Weight loss from baseline was greatest in patients treated with metformin plus either an SGLT-2 inhibitor (-4.2 kg) or a DPP-4 inhibitor (-1.5 kg). The highest proportion of patients who achieved the composite outcome of HbA1c reduction ≥ 0.5%, body weight loss ≥ 2.0 kg and treatment persistence for 18 months was observed in those receiving metformin plus an SGLT-2 inhibitor (36.5%).

conclusionsIn this population-based cohort, all second-line therapies added to metformin monotherapy improved glycaemic control, but the lowest treatment change/discontinuation rate and most sustained weight loss was seen with patients receiving metformin plus an SGLT-2 inhibitor.

Indexed as

Body WeightDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHumansHypoglycemic AgentsMaleMetforminMiddle AgedTime FactorsUnited KingdomGlycated HemoglobinHypoglycemic AgentsMetforminClinical practice research datalink (CPRD)Dipeptidyl peptidase-4 inhibitor (DPP-4 inhibitor)HbA1cMetforminSecond-line therapySodium-glucose cotransporter 2 inhibitor (SGLT-2 inhibitor)SulfonylureaType 2 diabetes (T2D)

Identifiers

PMID30008267
PMCPMC6047134
OpenAlexW2858745820

What OpenQuestion holds

Textfull text, public
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.