Evidence map›Paper›PMID 24187547›Full record

ReviewFrontiers in genetics2013

Perspective: a systems approach to diabetes research.

Martin Kussmann, Melissa J Morine, Jörg Hager, Bernhard Sonderegger, Jim Kaput

Abstract readReview
In one paragraph

Review in Frontiers in genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 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.

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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Working Towards Eye Health Equity for Indigenous Australians with Diabetes.International journal of environmental research and public health · 2019
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. A proteomic approach to obesity and type 2 diabetes.Journal of cellular and molecular medicine · 2015
    Review
  16. Article
  17. Review
  18. Goals in Nutrition Science 2015-2020.Frontiers in nutrition · 2015
    Article
  19. Article
  20. Translational genomics.Applied & translational genomics · 2014
    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

5 authors.

Martin KussmannNestlé Institute of Health Sciences SA Lausanne, Switzerland ; Faculty of Life Sciences, Ecole Polytechnique Fédérale Lausanne, Switzerland ; Faculty of Science, Aarhus University Aarhus, Denmark.
Melissa J Morine
Jörg Hager
Bernhard Sonderegger
Jim Kaput

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We review here the status of human type 2 diabetes studies from a genetic, epidemiological, and clinical (intervention) perspective. Most studies limit analyses to one or a few omic technologies providing data of components of physiological processes. Since all chronic diseases are multifactorial and arise from complex interactions between genetic makeup and environment, type 2 diabetes mellitus (T2DM) is a collection of sub-phenotypes resulting in high fasting glucose. The underlying gene-environment interactions that produce these classes of T2DM are imperfectly characterized. Based on assessments of the complexity of T2DM, we propose a systems biology approach to advance the understanding of origin, onset, development, prevention, and treatment of this complex disease. This systems-based strategy is based on new study design principles and the integrated application of omics technologies: we pursue longitudinal studies in which each subject is analyzed at both homeostasis and after (healthy and safe) challenges. Each enrolled subject functions thereby as their own case and control and this design avoids assigning the subjects a priori to case and control groups based on limited phenotyping. Analyses at different time points along this longitudinal investigation are performed with a comprehensive set of omics platforms. These data sets are generated in a biological context, rather than biochemical compound class-driven manner, which we term "systems omics."

Indexed as

genomicsmetabonomicsnutritionpreventionproteomicssystems biologytype 2 diabetes

Identifiers

PMID24187547
PMCPMC3807566

What OpenQuestion holds

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LicenceCC BY
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.