Evidence map›Paper›PMID 28934987›Full record

ReviewBMC medicine2017

Lifestyle precision medicine: the next generation in type 2 diabetes prevention?

Pascal M Mutie, Giuseppe N Giordano, Paul W Franks

Abstract readReview
In one paragraph

Review in BMC medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

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

29 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Review
  5. What Is Precision Psychotherapy?The Journal of medicine and philosophy · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. LSD600: the first corpus of biomedical abstracts annotated with lifestyle-disease relations.Database : the journal of biological databases and curation · 2025
    Article
  10. Review
  11. Review
  12. Article
  13. Health educationFrontiers in public health · 2022
    Article
  14. Article
  15. Precision Health Care Elements, Definitions, and Strategies for Patients with Diabetes: A Literature Review.International journal of environmental research and public health · 2021
    Review
  16. Review
  17. Article
  18. Review
  19. Review
  20. Review
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.

Pascal M MutieDepartment of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Skåne University Hospital, SE-205 02, Malmö, Sweden.
Giuseppe N GiordanoDepartment of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Skåne University Hospital, SE-205 02, Malmö, Sweden.
Paul W FranksDepartment of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Skåne University Hospital, SE-205 02, Malmö, Sweden. paul.franks@med.lu.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The driving force behind the current global type 2 diabetes epidemic is insulin resistance in overweight and obese individuals. Dietary factors, physical inactivity, and sedentary behaviors are the major modifiable risk factors for obesity. Nevertheless, many overweight/obese people do not develop diabetes and lifestyle interventions focused on weight loss and diabetes prevention are often ineffective. Traditionally, chronically elevated blood glucose concentrations have been the hallmark of diabetes; however, many individuals will either remain 'prediabetic' or regress to normoglycemia. Thus, there is a growing need for innovative strategies to tackle diabetes at scale. The emergence of biomarker technologies has allowed more targeted therapeutic strategies for diabetes prevention (precision medicine), though largely confined to pharmacotherapy. Unlike most drugs, lifestyle interventions often have systemic health-enhancing effects. Thus, the pursuance of lifestyle precision medicine in diabetes seems rational. Herein, we review the literature on lifestyle interventions and diabetes prevention, describing the biological systems that can be characterized at scale in human populations, linking them to lifestyle in diabetes, and consider some of the challenges impeding the clinical translation of lifestyle precision medicine.

Indexed as

Life StylePrecision MedicineDiabetes Mellitus, Type 2HumansHyperglycemiaInsulin ResistanceMotor ActivityObesityOverweightRisk FactorsWeight LossBiomarkersInterventionLifestyle factorsOverweight/obesityPrecision medicinePreventionReviewType 2 diabetes

Identifiers

PMID28934987
PMCPMC5609030

What OpenQuestion holds

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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.