Epidemiology and awareness of osteoporosis: a viewpoint from the Middle East and North Africa
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: Osteoporosis (OP) is defined by low bone mass and microstructural deterioration. It is an escalating public health problem due to increase life expectancy and the resulting bone fractures represent a significant burden for both the individual and the society in terms of morbidity, mortality and cost. Osteoporosis, a multifactorial disease, results from the interaction between genetic and environmental risk factors. Currently, the data available regarding OP epidemiology and predisposing risk factors differ greatly between regions and within population ethnicities. Proper estimation of the epidemiology of OP and its health related outcomes can help identity those at risk and permit prophylactic treatment before its occurrence. The main barrier towards disease prevention strategies is the impaired awareness of the disease and its risk. Enhanced understanding of the OP disease may influence personal behaviors and reduce its prevalence. Objectives: This review was undertaken to wrap-up and throw-light on the published literatures related to the epidemiology of osteoporosis in the Middle East and North Africa (MENA) region, and expose the extent of awareness in the corresponding populations. Describing and discussing key points on the current state of knowledge on these hot issues are well thought-out. Conclusion: Osteoporosis prevalence is variable among MENA populations. Limited reports regarding the established prevalence of osteoporotic fractures among those populations and therefore, lack of guidelines for prevention and management were noticed. In order to improve bone health, preventive measures against OP should be considered. Increase OP awareness and preventive practices in the societies as part of the prophylactic strategy need to be initiated.
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 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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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