Evidence map›Paper›PMID 28314945›Full record

ReviewDiabetologia2017

Precision diabetes: learning from monogenic diabetes.

Andrew T Hattersley, Kashyap A Patel

Registry-linked trialAbstract readReview
In one paragraph

Review in Diabetologia, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05586594 (Identifying Maturity-onset Diabetes of the Young in Susceptible Emirati Patients Who Are Currently Treated as Type 1 or Type 2 Diabetes Mellitus), which is not on this map. Cited by 161 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
161citing papers in PubMed, 2 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.

NCT05586594 naunknown statusnot on this mapstarted 2024, after this paper: background citation

Identifying Maturity-onset Diabetes of the Young in Susceptible Emirati Patients Who Are Currently Treated as Type 1 or Type 2 Diabetes Mellitus

TypeinterventionalSponsorUnited Arab Emirates UniversityRan2024 to 2026Enrolled150ConditionsMaturity-onset Diabetes of the Young, Monogenic Diabetes, MODYArmsGenetic testing for 4 MODY genes (GCK, HNF1A, HNF4A, HNF1B)
3 · Its place in the literature

Who cites it

161 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Review
  6. Review
  7. Review
  8. Article
  9. Type 1 Diabetes Mellitus Pathogenesis: Mechanisms, Early Diagnostic Strategies, and Emerging Therapeutic Approaches.Pathophysiology : the official journal of the International Society for Pathophysiology · 2026
    Review
  10. An integrated cardiometabolic genetic testing program in a predominantly Hispanic population within a community setting.Genetics in medicine : official journal of the American College of Medical Genetics · 2026
    Article
  11. Functional Inactivation ofInternational journal of molecular sciences · 2026
    Article
  12. Review
  13. Article
  14. ChatGPT in precision medicine.APL bioengineering · 2026
    Review
  15. Review
  16. Article
  17. C-peptide in Precision Diabetes Care and Beyond: A Comprehensive Review.Clinical medicine insights. Endocrinology and diabetes · 2026
    Review
  18. Article
  19. dentification and characterization of novelBMJ open diabetes research & care · 2025
    Article
  20. Article

101 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

2 authors.

Andrew T HattersleyThe Institute of Biomedical and Clinical Science, University of Exeter Medical School, RILD Building, Level 3, Royal Devon and Exeter Hospital, Barrack Road, Exeter, EX2 5DW, UK. A.T.Hattersley@exeter.ac.uk.
Kashyap A PatelThe Institute of Biomedical and Clinical Science, University of Exeter Medical School, RILD Building, Level 3, Royal Devon and Exeter Hospital, Barrack Road, Exeter, EX2 5DW, UK.

Funding

Medical Research Council MR-K005707-1Medical Research Council MR/K005707/1Wellcome Trust WT098395/Z/12/Z
6 · The paper itself

Abstract

The precision medicine approach of tailoring treatment to the individual characteristics of each patient or subgroup has been a great success in monogenic diabetes subtypes, MODY and neonatal diabetes. This review examines what has led to the success of a precision medicine approach in monogenic diabetes (precision diabetes) and outlines possible implications for type 2 diabetes. For monogenic diabetes, the molecular genetics can define discrete aetiological subtypes that have profound implications on diabetes treatment and can predict future development of associated clinical features, allowing early preventative or supportive treatment. In contrast, type 2 diabetes has overlapping polygenic susceptibility and underlying aetiologies, making it difficult to define discrete clinical subtypes with a dramatic implication for treatment. The implementation of precision medicine in neonatal diabetes was simple and rapid as it was based on single clinical criteria (diagnosed <6 months of age). In contrast, in MODY it was more complex and slow because of the lack of single criteria to identify patients, but it was greatly assisted by the development of a diagnostic probability calculator and associated smartphone app. Experience in monogenic diabetes suggests that successful adoption of a precision diabetes approach in type 2 diabetes will require simple, quick, easily accessible stratification that is based on a combination of routine clinical data, rather than relying on newer technologies. Analysing existing clinical data from routine clinical practice and trials may provide early success for precision medicine in type 2 diabetes.

Indexed as

Diabetes Mellitus, Type 2HumansMutationPrecision MedicineGCKHNF1AHNF4AKCNJ11Maturity onset diabetes of the youngMODYMonogenic diabetesNeonatal diabetesPrecision diabetesPrecision medicineReviewType 2 diabetes

Identifiers

PMID28314945
PMCPMC5907633

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.