Evidence map›Paper›PMID 31385057›Full record

ReviewCurrent diabetes reports2019

How Recent Advances in Genomics Improve Precision Diagnosis and Personalized Care of Maturity-Onset Diabetes of the Young.

Martine Vaxillaire, Philippe Froguel, Amélie Bonnefond

Abstract readReview
PubMed Publisher
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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 24 citations in OpenAlex.

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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

3 authors at 3 institutions in 2 countries.

Martine VaxillaireUniv. Lille, CNRS, CHU Lille, Institut Pasteur de Lille, UMR 8199 - European Genomic Institute for Diabetes (EGID), University Lille, F-59000, Lille, France. martine.vaxillaire@cnrs.fr.
Philippe FroguelUniv. Lille, CNRS, CHU Lille, Institut Pasteur de Lille, UMR 8199 - European Genomic Institute for Diabetes (EGID), University Lille, F-59000, Lille, France.
Amélie BonnefondUniv. Lille, CNRS, CHU Lille, Institut Pasteur de Lille, UMR 8199 - European Genomic Institute for Diabetes (EGID), University Lille, F-59000, Lille, France.
Centre Hospitalier Universitaire de Lille · FREuropean Genomic Institute for Diabetes · FRInstitut Pasteur de Lille · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewNon-autoimmune monogenic diabetes (MD) in young people shows a broad spectrum of clinical presentations, which is largely explained by multiple genetic etiologies. This review discusses how the application of state-of-the-art genomics research to precision diagnosis of MD, particularly the various subtypes of maturity-onset diabetes of the young (MODY), has increasingly informed diabetes precision medicine and patient care throughout life. RECENT

findingsDue to extended genetic and clinical heterogeneity of MODY, diagnosis approaches based on next-generation sequencing have been worthwhile to better ascribe a specific subtype to each patient with young-onset diabetes. This guides the best appropriate treatment and clinical follow-up. Early etiological diagnosis of MD and individualized treatment are essential for achieving metabolic targets and avoiding long-term diabetes complications, as well as for drastically decreasing the financial and societal burden of diabetes-related healthcare. Genomic medicine-based practices help to optimize long-term clinical follow-up and patient care management.

Indexed as

AdolescentDiabetes Mellitus, Type 2GenomicsHigh-Throughput Nucleotide SequencingHumansMutationPrecision MedicineGenetic diagnosisInsulin secretionMODYMonogenic diabetesNext-generation sequencingPrecision medicine

Identifiers

PMID31385057
OpenAlexW2964732717

What OpenQuestion holds

Textmetadata
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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.