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Record W2285538757 · doi:10.1155/2016/9075924

New Horizons in Diabetology

2016· editorial· en· W2285538757 on OpenAlexaff
Ali Tootee, Garth L. Warnock, Aziz Ghahari, Bagher Larijani

Bibliographic record

VenueJournal of Diabetes Research · 2016
Typeeditorial
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBiological Research and Disease Studies
Canadian institutionsVancouver General HospitalUniversity of British Columbia
Fundersnot available
KeywordsDiabetologyNew horizonsMedicineDiabetes mellitusEngineeringEndocrinologyAerospace engineering

Abstract

fetched live from OpenAlex

The prevalence of diabetes has alarmingly increased in both developed and developing countries all across the world in the recent years. The prevalence of different complications and comorbid conditions associated with diabetes is also rampantly increasing, thereby negatively affecting lives of many people. In fact, obesity which is associated with diabetes is considered as a major public health concern in many countries. Nevertheless, it can be argued that still more progress is to be made in different fields of prevention, diagnosis, and treatment of diabetes. This gap in the science of Diabetology, arguably, stems from insufficient synchronized interdisciplinary basic and clinical research in the field. This deficiency may be addressed through finding the gaps in the published literature by means of plotting different diabetes maps and focusing research on them to promote the concept of translational medicine. Lack of comprehensive diabetes research maps and the scarcity of the literature in the related interdisciplinary fields can be considered as major hindrance to the future advancement of the science of Diabetology. With this view, we conceived the concept of publication of a special issue on the subject and invited authors to submit any original research or review paper with the potential of opening new horizons to prevention, screening, and treatment of diabetes. Out of approximately 50 manuscripts submitted, in this special issue, 15 articles have been approved by reviewers to be published on a wide range of relevant basic and clinical subjects. In the field of screening for diabetes, findings of a study by S. M. Joyce-Tan et al. demonstrated that genetic variants of the RAS can modestly influence the risk of type 2 diabetes. P. Haghvirdizadeh et al., in a different study, reported that R219K polymorphism of ABCA1 gene could be considered as a genetic risk factor for type 2 diabetes among certain populations. In another article, M. Khodaeian et al. assert that genome wide association studies on large number of samples can be helpful in the identification of diabetes susceptible genes and may be used as an alternative to studying individual candidate genes which is a time-consuming and expensive method. In a different article, P. Haghvirdizadeh et al. findings provide evidence for the contribution of common KCNJ11 genetic variants to the development of DM. In regard to the underlying mechanisms of diabetes and its complications, M. Kaplar et al., in an original research article, demonstrated a dual role for mannose binding lecithin as a risk factor for carotid intima media thickness in patients with type 2 diabetes mellitus. N. Bertoncello et al., in another article, shed some light on the complex underlying mechanisms involved in the development of diabetic nephropathy. As for novel diagnostic, preventive, and therapeutic options for diabetes, T. Mizushige showed that urinary angiotensinogen could be a prognostic marker of renoprotective effects of alogliptin in patients with type 2 diabetes. Findings of a study by R. Diez-Laiz demonstrate significant therapeutic potentials for Plantago ovata husk as an oral antihyperglycemic agent for treatment of type 2 diabetes. An article by M. S. Klein and J. Shearer argues that metabolomics has the potential to enable informed decision-making in the realm of personalized medicine. S. J. Hashemian et al., in a comprehensive review article, claim that despite all unresolved concerns about clinical applications of mesenchymal stem cells, this group of stem cells still remains a promising therapeutic modality for treatment of diabetes. A study by K. Kurek et al. demonstrates that myriocin can find potential future application as a therapeutic agent for the reduction of insulin resistance and its serious consequences in obese patients. Findings of S. Wang et al. study show that certain renoprotective therapeutic agents which can specifically abolish CTGF CCN2 expression, or nonspecifically inhibit CTGF CCN2 expression, may be protective against the development and progression of diabetes nephropathy. P. Senesi et al., in their study, demonstrate that metformin treatment can prevent sedentariness related damage in mice. In this regard, in another study by M. Bo et al., it is asserted that an inappropriate and aggressive glucose lowering therapeutic approach in frail and vulnerable elderly residents of long-term care facilities can adversely affect their health. It can be concluded that this special issue provides a series of original and review articles on a wide range of diabetes-related subjects which can assist researchers to design and carry out research projects in similar directions in the future. Moreover, this issue may be helpful in spotting current gaps in the science of Diabetology and facilitate focusing more research on them. We hope that the present special issue provides useful information for a superior understanding of the underlying mechanisms involved in the pathogenesis of diabetes as well as novel diagnostic and therapeutic techniques for the diseases.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.005
Scholarly communication0.0080.008
Open science0.0020.003
Research integrity0.0060.012
Insufficient payload (model declined to judge)0.0170.008

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.389
Teacher spread0.364 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2016
Admission routes1
Has abstractyes

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