Evidence map›Paper›PMID 20634976›Full record

ArticlePloS one2010

Estimating the cost of type 1 diabetes in the U.S.: a propensity score matching method.

Betty Tao, Massimo Pietropaolo, Mark Atkinson, Desmond Schatz, David Taylor

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed, 4 pooled it
5.2field-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

98 citing papers in PubMed, 4 syntheses or guidelines pooled it, 195 citations in OpenAlex.

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  12. Prolonging Partial Remission in Type 1 Diabetes: The Role of Low-Carbohydrate Diet: A Literature Review.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026
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38 more citing papers are in PubMed but not listed here.

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 3 institutions in 1 country.

Betty TaoCenter for Health Research and Policy, CNA, Alexandria, Virginia, United States of America. betatao@gmail.com
Massimo Pietropaolo
Mark Atkinson
Desmond Schatz
David Taylor
Center for Naval Analyses · USUniversity of Florida · USUniversity of Michigan–Ann Arbor · US

Funding

IMPROVING PREDICTION OF IDDMR01DK053456 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HERMAN, MARK A, REDONDO, MARIA JOSE · 1999 to 2021
$9.5M
NIDDK NIH HHS R01 DK053456
6 · The paper itself

Abstract

backgroundDiabetes costs represent a large burden to both patients and the health care system. However, few studies that examine the economic consequences of diabetes have distinguished between the two major forms, type 1 and type 2 diabetes, despite differences in underlying pathologies. Combining the two diseases implies that there is no difference between the costs of type 1 and type 2 diabetes to a patient. In this study, we examine the costs of type 1 diabetes, which is often overlooked due to the larger population of type 2 patients, and compare them to the estimated costs of diabetes reported in the literature. METHODOLOGY/PRINCIPAL

findingsUsing a nationally representative dataset, we estimate yearly and lifetime medical and indirect costs of type 1 diabetes by implementing a matching method to compare a patient with type 1 diabetes to a similar individual without the disease. We find that each year type 1 diabetes costs this country $14.4 billion (11.5-17.3) in medical costs and lost income. In terms of lost income, type 1 patients incur a disproportionate share of type 1 and type 2 costs. Further, if the disease were eliminated by therapeutic intervention, an estimated $10.6 billion (7.2-14.0) incurred by a new cohort and $422.9 billion (327.2-519.4) incurred by the existing number of type 1 diabetic patients over their lifetime would be avoided. CONCLUSIONS/SIGNIFICANCE: We find that the costs attributed to type 1 diabetes are disproportionately higher than the number of type 1 patients compared with type 2 patients, suggesting that combining the two diseases when estimating costs is not appropriate. This study and another recent contribution provides a necessary first step in estimating the substantial costs of type 1 diabetes on the U.S.

Indexed as

Models, TheoreticalDiabetes Mellitus, Type 1FemaleHumansMaleUnited States

Identifiers

PMID20634976
PMCPMC2901386
OpenAlexW2093172018

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.