Evidence map›Paper›PMID 30464797›Full record

ArticleAmerican health & drug benefits2018

Estimating the Real-World Cost of Diabetes Mellitus in the United States During an 8-Year Period Using 2 Cost Methodologies.

Vincent J Willey, Sheldon Kong, Bingcao Wu, Amit Raval, Todd Hobbs, Andrea Windsheimer, Gaurav Deshpande, Ozgur Tunceli, Brian Sakurada, Jonathan R Bouchard

Abstract read
In one paragraph

Article in American health & drug benefits, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trajectory of Kidney Function in T1D over Time: A Scoping Review.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Cost-Effectiveness of Oral Antidiabetic Drugs: A Prospective Multicenter Study of Real-World Patients.Evidence-based complementary and alternative medicine : eCAM · 2021
    Article
  9. Article
  10. Review
  11. Observational
  12. Article
  13. Article
  14. Review
  15. 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

10 authors.

Vincent J WilleyStaff Vice President, HealthCore, Wilmington, DE.
Sheldon KongExecutive Director, Health Economics and Outcomes Research, Novo Nordisk, Plainsboro, NJ.
Bingcao WuEmployees of HealthCore at the time of the study.
Amit RavalEmployees of HealthCore at the time of the study.
Todd HobbsVice President and Chief Medical Officer, Diabetes & Obesity, Novo Nordisk.
Andrea WindsheimerEmployees of Novo Nordisk at the time of the study.
Gaurav DeshpandeSenior Researcher, HealthCore.
Ozgur TunceliEmployees of HealthCore at the time of the study.
Brian SakuradaEmployees of Novo Nordisk at the time of the study.
Jonathan R BouchardEmployees of Novo Nordisk at the time of the study.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes is associated with substantial clinical and economic burdens on patients and on the US healthcare system. Treatment options for patients with type 1 or type 2 diabetes have increased significantly, from only 3 drug classes in 1995 to more than 12 distinct classes today. Although several of the newer treatments are reported to have improved efficacy and safety profiles, they are often substantially more costly than older medications. Consequently, as drug options increase, the cost of diabetes management continues to grow.

objectivesTo estimate the annual real-world costs of type 1 and 2 diabetes, as well as diabetes prevalence, treatment patterns, care quality, and resource utilization during 8 years.

methodsIn this cross-sectional study, we examined 8 annual cohorts of patients with type 1 or type 2 diabetes, on a biennial basis, using claims data from the HealthCore Integrated Research Database between 2006 and 2014. Patients were matched with controls by age, sex, residency, and health plan type. We assessed the prevalence of diabetes, treatment patterns, care quality measures, and all-cause and diabetes-related healthcare costs using 2 methods. Method 1 calculated the annual costs as the difference in all-cause costs between patients with diabetes and matched controls. Method 2 calculated the costs for healthcare encounters based on specific codes for a diabetes diagnosis or for antidiabetes medications.

resultsBetween 346,486 and 410,234 patients with type 2 diabetes and between 21,176 and 26,228 patients with type 1 diabetes were included in each study year cohort. Between 2007 and 2014, the prevalence of type 2 diabetes increased from 4.9% to 6.3%. The costs associated with using Method 1 were almost double the cost estimates in Method 2 during most of the study period. For patients with type 1 diabetes, the associated costs were twice greater with Method 1 than with Method 2. Projections to the entire US population in 2014 indicated a total of 19.3 million individuals with diabetes and associated direct costs of $314.8 billion that year.

conclusionCost estimates can guide the prioritization of healthcare expenditures. The results of this study showed that costs attributable to diabetes differed by approximately 2-fold, depending on the estimation method. The management of the escalating expenses for diabetes management in the United States requires judicious selection of the methods for estimating costs.

Indexed as

cost-estimation methodcost projectiondiabetesdisease prevalencehealthcare utilizationprevalencetype 1 diabetestype 2 diabetes

Identifiers

PMID30464797
PMCPMC6207315

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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 Socratic graph.