Evidence map›Paper›PMID 30919097›Full record

ReviewCurrent diabetes reports2019

Economics of Genetic Testing for Diabetes.

Rochelle Naylor

Open access · greenAbstract readReview
In one paragraph

Review in Current diabetes reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Monogenic diabetes: a gateway to precision medicine in diabetes.The Journal of clinical investigation · 2021
    Review
  11. Genetic Spectrum of Neonatal Diabetes.Balkan journal of medical genetics : BJMG · 2020
    Article
  12. Article
  13. 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

1 author at 1 institution in 1 country.

Rochelle NaylorThe University of Chicago Medicine, 5841 S Maryland Ave, MC 5053, Chicago, IL, 60637, USA. rnaylor@bsd.uchicago.edu.
University of Chicago · US

Funding

Monogenic Diabetes: Next Generation Diagnosis, Treatment and ComplicationsR01DK104942 · NIDDK · UNIVERSITY OF CHICAGO · PI GREELEY, SIRI ATMA W., PHILIPSON, LOUIS H. · 2016 to 2024
$4.7M
Advancing Recognition and Personalized Genetic Medicine for MODY in a Multi-Ethnic US PopulationK23DK114564 · NIDDK · UNIVERSITY OF CHICAGO · PI NAYLOR, ROCHELLE NICOLE · 2017 to 2021
$649k
NIDDK NIH HHS K23 DK114564NIDDK NIH HHS R01 DK104942
6 · The paper itself

Abstract

purpose of reviewMonogenic diabetes is an uncommon but important form of diabetes, with the most common causes benefitting from management that accounts for the genetic mutation. This often results in decreased costs and treatment burden for affected individuals. Misdiagnosis as type 1 and type 2 diabetes is common. Given the significant burden of diabetes costs to the healthcare system, it is important to assess the economic impact of incorporating genetic testing for monogenic diabetes into clinical care through formal cost-effectiveness analyses (CEAs). This article briefly summarizes the barriers to timely monogenic diabetes diagnosis and then summarizes findings from CEAs on genetic testing for monogenic diabetes. RECENT

findingsCEAs have shown that routine genetic testing of all patients with a clinical diagnosis of type 1 diabetes can be cost-saving when applied to the scenarios of neonatal diabetes or in a pediatric population. Routine screening has not been shown to be cost-effective in adult populations. However, next-generation sequencing strategies and applying biomarkers to identify and limit genetic testing to people most likely to have monogenic diabetes are promising ways to make testing strategies cost-effective. CEAs have shown that genetic testing for monogenic diabetes diagnosis can be cost-effective or cost-saving and should guide insurers to consider broader coverage of these tests, which would lead to accurate and timely diagnosis and impact treatment and clinical outcomes.

Indexed as

Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2Genetic TestingHigh-Throughput Nucleotide SequencingHumansMutationCEACost-effectivenessGenetic testingMODYMonogenic diabetes

Identifiers

PMID30919097
PMCPMC6886700
OpenAlexW2924757145

What OpenQuestion holds

Textmetadata
LicenceTDM
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.