MétaCan
Menu
Back to cohort
Record W4389510233 · doi:10.52711/2321-5836.2023.00036

A Review on Current Type-2 Diabetes Mellitus Treatment by selected Phytoconstituents

2023· review· en· W4389510233 on OpenAlexaff
Aditya Mathur, Shweta Asthana, Samir Kumar Patra, Pulak Kumar Jana

Bibliographic record

VenueResearch Journal of Pharmacology and Pharmacodynamics · 2023
Typereview
Languageen
FieldMedicine
TopicNatural Antidiabetic Agents Studies
Canadian institutionsTellabs (Canada)
Fundersnot available
KeywordsMedicineMetforminType 2 Diabetes MellitusInsulin resistanceDiabetes mellitusType 2 diabetesObesityInsulinBiguanideEtiologyMetabolic disorderInternal medicineReview articleBioinformaticsEndocrinologyIntensive care medicinePharmacologyPathologyBiology

Abstract

fetched live from OpenAlex

Almost 90% of cases of diabetes in adult is type 2 diabetes mellitus (T2DM). It is a chronic metabolic disorder happens for insulin resistance that cause chronic hyperglycaemia. This review article based on search on medicine, database of systemic reviews. This review presenting the etiology and major factors involved in development of type 2 diabetes mellitus and also the modification of lifestyle which is useful in the management of T2DM. Screening and diagnosis is based on the World Health Organization (WHO) and American Diabetes Association (ADA) criteria. Glucolipotoxicity, if left untreated it reduce function of pancreatic beta cell. Various environmental factors and genetic factors cause onset action of increase in diabetes. Treatment include lifestyle modification, obesity maintaining, oral hypoglycaemic agents and insulin sensitizer like metformin, biguanide decrease resistance of insulin and other is sulfonylureas thiazolidinediones, alpha- glucosidase inhibitor. It also includes the explanation of current strategies to control diabetes. The employment of phytoconstituent as multitargeting molecules and their potential use with a first line drug that helps to reduce the side effects which is caused by synthetic drugs are also explained.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.732
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.154
GPT teacher head0.517
Teacher spread0.363 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations4
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueResearch Journal of Pharmacology and PharmacodynamicsSame topicNatural Antidiabetic Agents StudiesFrench-language works237,207