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Record W2260585619 · doi:10.26443/mjm.v10i2.741

Comparing knowledge of diabetes mellitus among rural and urban diabetics

2020· article· en· W2260585619 on OpenAlexvenueno aff
Ahmad Ayaz Sabri, Muhammad Ahad Qayyum, Naif Usman Saigol, Khurram Zafar, Fawad Aslam

Bibliographic record

VenueMcGill Journal of Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Education
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDiabetes mellitusInternal medicineEndocrinology

Abstract

fetched live from OpenAlex

A questionnaire-based cross-sectional study was carried out to assess the awareness of diabetes mellitus among rural and urban diabetics. After analyzing the awareness level of both populations, the urban diabetics were found to be more educated about diabetes. A 25-question survey was used to judge the awareness level of diabetes mellitus. A total of 240 diabetics were surveyed, 120 each from rural and urban areas. The mean awareness among the rural population was 13 (SD+/-2) correct answers out of a possible 25. Similarly, in the case of the urban diabetics the mean awareness was 18 (SD+/-2) correct answers. The survey was conducted on randomly chosen diabetics belonging to Lahore and Faisalabad, (urban areas), as well as Habibabad, Haveli Koranga and Baba Kanwal (rural areas). The results emphasize the interrelation between demography and awareness of diabetes mellitus. The rural diabetics are far less knowledgeable about diabetes mellitus, its management and its complications. Thus, there is an urgent need to improve the awareness level of diabetes mellitus in rural areas. Doing so will give rise to a healthier workforce and a lessened economic burden on Pakistan.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.360

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.037
GPT teacher head0.276
Teacher spread0.239 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations47
Published2020
Admission routes1
Has abstractyes

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