Prevalence of dementia in Egypt: a systematic review
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: With the growing prevalence of dementia worldwide, two-third of the people with dementia are projected to be from the developing countries by 2050. AIM: This study reviews the literature regarding dementia prevalence in Egypt. METHODS: Six databases were systematically searched from their dates of inception till July 2016. Studies published in English and reporting dementia prevalence among nonhospitalized individuals after clinical examinations were considered eligible. References were screened independently by two reviewers in two steps: 1) abstract screening and 2) full-text reviewing. In addition, quality of the included studies was assessed using the Newcastle-Ottawa scale. RESULTS: Of the 1,630 references retrieved, six studies (n=28,029 participants) met our inclusion criteria. In all studies, dementia was ascertained using a three-phase survey (Phase I: screening, Phase II: clinical diagnosis, Phase III: laboratory investigations). The dementia prevalence ranged from 2.01% to 5.07%. Dementia increased with age, with the rapid increase among those aging ≥80. Also, its prevalence was higher among illiterate groups than among educated groups. Included studies were of low risk of bias. CONCLUSION: Dementia prevalence in Egypt demands including people with dementia in the health care system and promoting the awareness of dementia among the public. Also, more epidemiological studies in this field are needed.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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