Evidence map›Paper›PMID 23696709›Full record

ArticleClinicoEconomics and outcomes research : CEOR2013

Glycemic control and diabetes-related health care costs in type 2 diabetes; retrospective analysis based on clinical and administrative databases.

Luca Degli Esposti, Stefania Saragoni, Stefano Buda, Alessandra Sturani, Ezio Degli Esposti

Abstract read
In one paragraph

Article in ClinicoEconomics and outcomes research : CEOR, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 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

24 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Costs and where to find them: identifying unit costs for health economic evaluations of diabetes in France, Germany and Italy.The European journal of health economics : HEPAC : health economics in prevention and care · 2020
    Review
  9. Article
  10. Article
  11. Article
  12. Finding the clinical utility of 1,5-anhydroglucitol among primary care practitioners.Journal of clinical & translational endocrinology · 2020
    Article
  13. Article
  14. Review
  15. Costs of people with diabetes in relation to average glucose control: an empirical approach controlling for year of onset cohorts.The European journal of health economics : HEPAC : health economics in prevention and care · 2019
    Observational
  16. Article
  17. Article
  18. Economic aspects in the management of diabetes in Italy.BMJ open diabetes research & care · 2016
    Article
  19. Association between depression and glycemic control among type 2 diabetes patients in Lima, Peru.Asia-Pacific psychiatry : official journal of the Pacific Rim College of Psychiatrists · 2015
    Article
  20. 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.

Luca Degli EspostiCliCon Srl, Health, Economics and Outcomes Research, Ravenna, Italy.
Stefania Saragoni
Stefano Buda
Alessandra Sturani
Ezio Degli Esposti

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes is one of the most prevalent chronic diseases, and its prevalence is predicted to increase in the next two decades. Diabetes imposes a staggering financial burden on the health care system, so information about the costs and experiences of collecting and reporting quality measures of data is vital for practices deciding whether to adopt quality improvements or monitor existing initiatives. The aim of this study was to quantify the association between health care costs and level of glycemic control in patients with type 2 diabetes using clinical and administrative databases.

methodsA retrospective analysis using a large administrative database and a clinical registry containing laboratory results was performed. Patients were subdivided according to their glycated hemoglobin level. Multivariate analyses were used to control for differences in potential confounding factors, including age, gender, Charlson comorbidity index, presence of dyslipidemia, hypertension, or cardiovascular disease, and degree of adherence with antidiabetic drugs among the study groups.

resultsOf the total population of 700,000 subjects, 31,022 were identified as being diabetic (4.4% of the entire population). Of these, 21,586 met the study inclusion criteria. In total, 31.5% of patients had very poor glycemic control and 25.7% had excellent control. Over 2 years, the mean diabetes-related cost per person was: €1291.56 in patients with excellent control; €1545.99 in those with good control; €1584.07 in those with fair control; €1839.42 in those with poor control; and €1894.80 in those with very poor control. After adjustment, compared with the group having excellent control, the estimated excess cost per person associated with the groups with good control, fair control, poor control, and very poor control was €219.28, €264.65, €513.18, and €564.79, respectively.

conclusionMany patients showed suboptimal glycemic control. Lower levels of glycated hemoglobin were associated with lower diabetes-related health care costs. Integration of administrative databases and a laboratory database appears to be suitable for showing that appropriate management of diabetes can help to achieve better resource allocation.

Indexed as

diabetes mellitusglycemic controlHbA1chealth expenditure

Identifiers

PMID23696709
PMCPMC3658432

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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.