Evidence map›Paper›PMID 29377320›Full record

ArticleDiabetic medicine : a journal of the British Diabetic Association2018

Assessing the economic value of maintained improvements in Type 1 diabetes management, in terms of HbA

P McEwan, H Bennett, K Bolin, M Evans, K Bergenheim

Open access · hybridAbstract read
In one paragraph

Article in Diabetic medicine : a journal of the British Diabetic Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Observational
  7. Assessing the economic value of maintained improvements in Type 1 diabetes management, in terms of HbADiabetic medicine : a journal of the British Diabetic Association · 2018
    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

5 authors at 4 institutions in 2 countries.

P McEwanSchool of Human and Health Sciences, Swansea University, Swansea.
H BennettHealth Economics and Outcomes Research Ltd, Cardiff, UK.
K BolinCentre for Health Economics, University of Gothenburg, Sweden.
M EvansDiabetes Resource Centre, Llandough Hospital, Cardiff, UK.ORCID 0000-0003-0671-0778
K BergenheimGlobal Payer Evidence and Pricing, AstraZeneca Pharmaceuticals, Gothenburg, Sweden.
Health Economics and Outcomes Research (United Kingdom) · GBAstraZeneca (Sweden) · SEUniversity Hospital Llandough · GBUniversity of Gothenburg · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsInsulin therapy is indicated for people with Type 1 diabetes mellitus; however, treatment-related weight gain and hypoglycaemia represent barriers to optimal glycaemic management. This study assessed the health economic value of maintained reductions in HbA

methodsThe Cardiff Type 1 Diabetes Model was used to estimate lifetime costs, life-years and quality-adjusted life-years (QALYs) for individuals with Type 1 diabetes at different baseline HbA

resultsModelled subjects with an HbA

conclusionsMaintained reductions in HbA

Indexed as

Health Care CostsQuality-Adjusted Life YearsWeight GainAdultBody Mass IndexCost-Benefit AnalysisDiabetes Mellitus, Type 1Disease ManagementFemaleGlycated HemoglobinHumansHypoglycemiaHypoglycemic AgentsInsulinMaleUnited KingdomGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic AgentsInsulin

Identifiers

PMID29377320
PMCPMC5947585
OpenAlexW2792582753

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.