MétaCan
Menu
Back to cohort

Free radical, oxidative stress and diabetes mellitus: A mini review

2019· review· en· W3020766411 on OpenAlex
Md. Saiful Islam Arman

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDiscovery Phytomedicine - Journal of Natural Products Research and Ethnopharmacology · 2019
Typereview
Languageen
FieldNursing
TopicVitamin C and Antioxidants Research
Canadian institutionsnot available
Fundersnot available
KeywordsOxidative stressDiabetes mellitusReactive oxygen speciesRadicalAntioxidantType 2 Diabetes MellitusOxidative phosphorylationMedicineInternal medicineEndocrinologyChemistryBiochemistry

Abstract

fetched live from OpenAlex

According to both experimental and clinical studies it is proposed that oxidative stress play a vital role in the development of type 1and type 2 Diabetes. Human body is affected with diabetic mellitus through destruction of beta cell that may be the outcome of oxidative stress. Oxidative stress a familiar term that may be coined as the imbalance between level of free radical and antioxidant. As free radicals are highly reactive, the pathologic phenomenon of reactive oxygen species (ROS) and reactive nitrogen species (RNS) is to interrupt the function of lipid, protein and DNA. Increased level of oxidative stress in our body tissue and blood is considered to play a critical role in diabetes mellitus. The goal of this review is to concise the how the free radicals propagate in our body and gradually causes diabetes mellitus.

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.

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)0.005
metaresearch head score (Gemma)0.005
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 score0.734
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0010.002
Science and technology studies0.0000.003
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.006
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 head0.095
GPT teacher head0.447
Teacher spread0.352 · 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