Evidence map›Paper›PMID 30455325›Full record

ArticleDiabetes care2019

Trajectory of Excess Medical Expenditures 10 Years Before and After Diabetes Diagnosis Among U.S. Adults Aged 25-64 Years, 2001-2013.

Sundar S Shrestha, Ping Zhang, Israel A Hora, Edward W Gregg

Abstract read
In one paragraph

Article in Diabetes care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

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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

14 citing papers in PubMed.

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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

4 authors.

Sundar S ShresthaDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA gqm2@cdc.gov.ORCID 0000-0001-6984-3522
Ping ZhangDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA.
Israel A HoraDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA.
Edward W GreggDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA.ORCID 0000-0003-2381-6822

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

objectiveWe assessed the excess medical expenditures for adults newly diagnosed with diabetes, for up to 10 years before and after diabetes diagnosis. RESEARCH DESIGN AND

methodsUsing the 2001-2013 MarketScan data, we identified people with newly diagnosed diabetes among adults aged 25-64 years (diabetes cohort) and matched them with people who did not have diagnosed diabetes (control cohort) using 1:1 propensity score matching. We followed these two cohorts up to ±10 years from the index date, with annual matched cohort sizes ranging from 3,922 to 39,726 individuals. We estimated the yearly and cumulative excess medical expenditures of the diabetes cohorts before and after the diagnosis of diabetes.

resultsThe per capita annual total excess medical expenditure for the diabetes cohort was higher for the entire 10 years prior to their index date, ranging between $1,043 in year -10 and $4,492 in year -1. Excess expenditure spiked in year 1 ($8,109), declined in year 2, and then increased steadily, ranging from $4,261 to $6,162 in years 2-10. The cumulative excess expenditure for the diabetes cohort during the entire 20 years of follow-up was $69,177 ($18,732 before and $50,445 after diagnosis).

conclusionsPeople diagnosed with diabetes had higher medical expenditures compared with their counterparts, not only after diagnosis but also up to 10 years prior to diagnosis. Managing risk factors for type 2 diabetes and cardiovascular disease before diagnosis, and for diabetes-related complications after diagnosis, could alleviate medical expenditure in people with diabetes.

Indexed as

Health ExpendituresAdultCohort StudiesDiabetes ComplicationsDiabetes Mellitus, Type 2FemaleFollow-Up StudiesHumansHypoglycemic AgentsInsulinMaleMiddle AgedRisk FactorsUnited StatesHypoglycemic AgentsInsulin

Identifiers

PMID30455325
PMCPMC6393199

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.