Studies on the prevalence of blindness in Ethiopia: a protocol for the systematic review and meta-analysis
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
INTRODUCTION: Blindness refers to a lack of vision and/or defined as presenting visual acuity worse than 3/60 in the better eye. Its highest proportion has been conforming to the developing countries such as Ethiopia. So, timely information is crucial to design strategies. However, the study on the magnitude of blindness in Ethiopia was outdated, that means it was conducted in 2005-2006. Therefore, this protocol has been proposed to estimate the pooled prevalence of blindness in Ethiopia to provide up-to-date, comprehensive evidence on this theme. METHODS AND ANALYSIS: The following databases will be used to search articles: PubMed, Cochrane Library, Google Scholar and retrieving references. Standard data extraction approach will be employed and presented using Preferred Reporting Items for Systematic Review and Meta-Analysis. The Newcastle-Ottawa Scale quality assessment tool will be used to evaluate the quality of studies. Analysis will be held using STATA V.11. Funnel plot and Egger's regression test will be applied to check for the potential sources of bias. Heterogeneity among the studies will be tested using Higgins method in which I² statistics will be calculated and compared with the standard. Meta-regression and subgroup analysis will be done to identify the potential sources of heterogeneity. Cross-sectional and survey studies conducted in Ethiopia and published in English language will be included. ETHICS AND DISSEMINATION: Ethics approval and consent are not required. On completion, the result will be submitted to a reputable peer-reviewed journal. TRIAL REGISTRATION NUMBER: CRD42021268448.
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 | 0.008 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.015 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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