Types of ocular injury and their antecedent factors: A 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
BACKGROUND: Ocular injuries are an important workplace hazard that can lead to vision loss, decreased functioning, and socioeconomic costs. The aim of this systematic review is to identify types of occupational ocular injuries and examine factors associated with these injuries. METHODS: Four health sciences databases (Ovid Medline, Embase, PsycINFO, and CINAHL) were reviewed to identify evidence pertaining to occupational ocular injuries. This systematic review was registered with PROSPERO (registration number: CRD42018089876) and followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The PICO (Population/Intervention/Comparison/Outcome) tool was used to support, structure, and improve our search strategy. RESULTS: Overall, 12 studies with quantitative Critical Appraisal Skills Programme grading scores were assessed in a systematic review and meta-analysis of ocular injuries in the workplace. The systematic review identified four main factors associated with occupational ocular injury: (a) use of eye protection at the time of the ocular injury, (b) being male, (c) exposure to biological or chemical occupational hazards, and (d) risk-taking behavior. CONCLUSIONS: Differences in risk between countries of origin, occupational sectors, and dates of publication, suggest likely differences or changes in safety procedures. We recommend that employers ensure that safety equipment is tailored to the protection of their specific occupational hazards, and that employees are adhering to safety protocols.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.020 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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