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Record W2194015324 · doi:10.13034/jsst.v8i2.78

Diabetes Mellitus Complications in Sub-Saharan Africa

2015· article· en· W2194015324 on OpenAlex

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

VenueJournal of Student Science and Technology · 2015
Typearticle
Languageen
FieldMedicine
TopicDiabetes, Cardiovascular Risks, and Lipoproteins
Canadian institutionsnot available
Fundersnot available
KeywordsDiabetes mellitusMedicineDiseaseIntensive care medicineInternal medicineEndocrinology

Abstract

fetched live from OpenAlex

Diabetes mellitus, commonly known as diabetes, is a non-communicable disease whereby a person’s pancreas is either incapable of producing or unable to use insulin in the body. The disease and its complications are growing in different parts of the world. It has been predicted that by 2035, there will be over 205 million diabetics in the world. It has been hypothesized that diabetes complications is highly prevalent in many African countries due to high medication cost, lack of early diagnoses and treatment, low economic standing, and culture-influenced beliefs about the disease. To address this hypothesis, a literary review was conducted on peer-reviewed articles. PubMed and Google Scholar were searched using the keywords: diabetes, diabetes in Africa, diabetes complications to retrieve these articles. The articles were read and evaluated by one reviewer and information was extracted to generate conclusion about the hypothesis. The research found that the high influx of diabetes complications in Sub-Saharan Africa is correlated with the low economic status of countries within this region. Also high reliance on traditional medicine leading to delayed treatment also influences the prevalence of complications.This research also sought to identify the most effective preventative measures for these complications (e.g. optimal diet, exercise, access to effective medications) and the availability of these measures in the Sub-Saharan African regions. It was determined that countries in Sub-Saharan Africa lacked access to optimal medications, which is the most effective preventative measure. Future studies should focus on ways to improve this preventive measure to optimize diabetes control in these regions.Le diabète sucré, connu communément sous le nom de diabète, est une maladie non-transmissible qui surgit lorsque le pancréas d’une personne est incapable de produire de l’insuline ou est incapable d’utiliser l’insuline produite. Des prévisions montrent qu’à l’an 2035 , il y aura plus de 205 millions de diabétiques dans le monde. Il y a une hypothèse que la situation économique de pays subsahariens et la culture contribuent aux complications diabétiques de ces régions. De la recherche a été conduite dans des journaux révisé par des pairs afin de prouver ou de réfuter cette hypothèse. Il a été découvert qu’il y a une corrélation directe entre le statut économique et culturel de pays en Afrique subsaharienne et le taux élevé de complications provoqués par le diabète sucré. Cette recherche a aussi été ciblée pour rechercher les mesures préventatives pour éviter ces complications et pour augmenter la disponibilité de ces mesures. Il a été déterminé que ces pays manquaient ces mesures préventives et efficaces. Des études futures devraient se concentrer sur des moyens d’installation de ces mesures afin de sauver des vies.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.622
Threshold uncertainty score0.245

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.028
GPT teacher head0.292
Teacher spread0.264 · 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