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A review on diabetes mellitus: complications, synthetic anti-diabetic agents and herbal treatment

2024· review· en· W4391943923 on OpenAlexaff
Toluwani Tella, Carolina H. Pohl, Kovalchuk Igor

Bibliographic record

VenueF1000Research · 2024
Typereview
Languageen
FieldMedicine
TopicNatural Antidiabetic Agents Studies
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsDiabetes mellitusMedicineMedicinal herbsMedicinal plantsTraditional medicineIntensive care medicineDiseaseInternal medicineEndocrinology

Abstract

fetched live from OpenAlex

<ns3:p>Background Diabetes mellitus is a metabolic disorder with multiple symptoms and complications. The management of these conditions involve the use of synthetic anti-diabetic agents, natural products and medicinal plants. Synthetic anti-diabetic agents are associated with side effects whereas medicinal plants have minimal side effects and are less expensive. The aim of this work is to highlight various (i) complications associated with diabetes (ii) synthetic anti-diabetic agents used for treatment (iii) medicinal plants as anti-diabetic agents. Methods Electronic databases such as Web of Science, Google Scholar, Science Direct, Springer, Pub Med, Medline and Scopus were searched to identify complications linked with diabetes, synthetic anti-diabetic agents, and herbs used in the management of diabetes mellitus. Results The present article is an updated review of the published literature on types of diabetes and their complications, synthetic anti-diabetic drugs and medicinal herbs used for management of diabetes. Conclusions Given the complications associated with diabetes mellitus, a search for medicinal herbs with anti-diabetic properties will be useful in the management of this disease.</ns3:p>

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.770
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.003

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 head0.135
GPT teacher head0.438
Teacher spread0.303 · 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
Published2024
Admission routes1
Has abstractyes

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