Evidence map›Paper›PMID 30294955›Full record

ReviewDiabetes, obesity & metabolism2018

Implementing personalized medicine in diabetic kidney disease: Stakeholders' perspectives.

Jeroen K de Vries, Adeera Levin, Fiona Loud, Amanda Adler, Gert Mayer, Michelle J Pena

Abstract readReview
In one paragraph

Review in Diabetes, obesity & metabolism, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Renal Protective Mechanisms of Shenyuan Particle in Db/Db Mice: A Study Based on Network Pharmacology.Evidence-based complementary and alternative medicine : eCAM · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. 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

6 authors.

Jeroen K de VriesDepartment of Internal Medicine, Antonius Ziekenhuis, Sneek, the Netherlands.
Adeera LevinDivision of Nephrology, University of British Columbia, Vancouver, BC, Canada.
Fiona LoudKidney Care UK, Alton, UK.
Amanda AdlerInstitute of Metabolic Sciences, Cambridge University, Cambridge, UK.
Gert MayerDepartment of Internal Medicine IV (Nephrology and Hypertension), Medical University of Innsbruck, Innsbruck, Austria.
Michelle J PenaDepartment of Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.ORCID 0000-0003-3340-2893

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The promise of personalized medicine to deliver "the right treatments at the right time to the right person" is the next frontier in healthcare. However, to implement personalized medicine in chronic diseases such as diabetes mellitus and diabetic kidney disease (DKD), a number of different aspects need to be taken into account. Better risk stratification and more precise options for treatment need to be developed and included in clinical practice guidelines. A patient's unique psychological, social and environmental situation also drive disease progression and outcomes. Appraising the cost effectiveness of precision medicines is necessary, not just as the cost of new therapies, but also the cost of diagnosis with novel methodologies and averted complications. As the prevalence of DKD grows worldwide to epidemic proportions, challenges such as global disparities in resources, access to healthcare and prevalence need to be addressed. This review considers these issues to achieve the short and longer-term goals of implementing personalized medicine in clinical practice.

Indexed as

Attitude to HealthDiabetes Mellitus, Type 2Diabetic NephropathiesGlobal HealthHumansHypoglycemic AgentsPractice Guidelines as TopicPrecision MedicineProfessional PracticeSystems BiologyHypoglycemic Agentschallengesdiabetesimplementationkidney diseasepersonalized medicine

Identifiers

PMID30294955
PMCPMC6220793

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.