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Record W2288687406 · doi:10.14740/jem.v6i1.343

Therapeutic Methods Against Insulin Resistance

2016· article· en· W2288687406 on OpenAlexvenueno aff
Hernando Rafael

Bibliographic record

VenueJournal of Endocrinology and Metabolism · 2016
Typearticle
Languageen
FieldMedicine
TopicAdipose Tissue and Metabolism
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInsulin resistanceInternal medicineEndocrinologyDiabetes mellitusInsulin

Abstract

fetched live from OpenAlex

Clinical, neurosurgical and autopsy findings show that type 2 diabetes mellitus is caused by progressive ischemia in the anterior hypothalamus and endocrine pancreas due to atherosclerosis, and associated with insulin resistance. The hypothalamic ischemia provokes neuroendocrinological disorders through descending projections, and the pancreatic ischemia causes an inappropriate insulin secretion. Both ischemic structures can be improved by means of omental implantation (omental transplantation or transposition) or with anti-inflammatory drugs. Likewise, experimental and clinical observations suggest that insulin resistance is caused by inflammatory action of tumor necrosis factor alpha and resistin in the insulin receptor. Because, in contrast to this, high-dose aspirin or resveratrol can reduce hyperglycemia to normal or near normal in diabetic patients. That is, both drugs are almost specific for the treatment of insulin resistance. Finally, the use of clonazepam at night can have a beneficial effect on glucose homeostasis, because it can reduce the effects of stressful stimuli and normalize the sleep disorders or loss. J Endocrinol Metab. 2016;6(1):1-11 doi: http://dx.doi.org/10.14740/jem333e

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)0.000
metaresearch head score (Gemma)0.001
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: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.002

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 head0.031
GPT teacher head0.343
Teacher spread0.312 · 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
GenreEmpirical

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".

Quick stats

Citations2
Published2016
Admission routes1
Has abstractyes

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