Trends in type 1 diabetes diagnosis in Ghana
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.
Bibliographic record
Abstract
BACKGROUND: Despite the fact that the rate of type 1 diabetes (T1D) is increasing worldwide, there exists a dearth of information on the disease in most sub-Saharan African countries. The goal of this study was to determine the enrolment trend of T1D using data compiled over 28 y from a teaching hospital in Kumasi, Ghana. METHODS: Information collected included sex, age at diagnosis and date of T1D diagnosis. We identified trends from 1992 to 2018, divided into 3 y intervals. RESULTS: From 1992 to 2018, 1717 individuals with T1D were enrolled in the diabetes clinic at the Komfo Anokye Teaching Hospital. The male:female ratio was 1:1.2. The number of individuals diagnosed with T1D decreased among the 10-19 y age group during the 1992-1994 period, followed by a progressive increase within the same age group during the subsequent period (from 35.4% in 1995-1997 to 63.2% in 2016-2018). There was a decline in the proportion of children 0-9 y of age diagnosed during the study period (from 5.1% in 1992-1994 to 3.6% in 2016-2018). CONCLUSIONS: In our study population, a decreasing trend of T1D enrolments was observed in general while among adolescents an increasing trend was observed.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it