Association between glaucoma and smoking in an eye bank sample
Bibliographic record
Abstract
Introduction: Glaucoma is the most common cause of irreversible blindness in the world. Although smoking has an important vascular and oxidative role in cardiovascular diseases, the association of smoking with the development and evolution of glaucoma is still controversial. In this study, we aimed to correlate smoking with the incidence of glaucoma. Subjects and Methods: A retrospective study of 442 postmortem paired donor eyes obtained from the Minnesota Lions Eye Bank of Canada (Toronto, Ont.) between 2015 and 2019 was evaluated. All donors' eyes were collected with detailed clinical history, including the glaucoma diagnosis, gender, and smoking habits. A statistical analysis and correlation between these variables were performed. Results: No correlation was found between glaucoma and smoking when the total number of smokers of both genders were examined ( P = 0.258). However, male patients demonstrated a significant positive correlation ( P = 0.008). This correlation was not observed when only female patients were evaluated ( P = 0.077). In addition, the eyes of patients, between 70 and 75 years of age ( P = 0.04) and 76 and 80 years of age who were smokers, demonstrated an increased risk of glaucoma ( P = 0.027). This relationship was even stronger for males between 76 and 80 years of age ( P = 0.006). Interestingly, the duration of the smoking habit showed no correlation to the development of glaucoma. Conclusion: An association of smoking and glaucoma was found in patients between 70 and 80 years of age, particularly male patients. Further investigation will be conducted examining the histopathological features and other comorbidities to better elucidate these findings.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".