Impact of Inhaled and Intranasal Corticosteroids Exposure on the Risk of Ocular Hypertension and Glaucoma: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Purpose: Starting in 2019, the Global Initiative for Asthma recommended the use of inhaled corticosteroids (ICS) as part of reliever combination therapy in patients 12 years of age and older, thus dramatically increasing the population exposure to ICS. ICS and intranasal corticosteroids (INS) are commonly used for a variety of respiratory diseases. Chronic steroid use is a well-known risk factor for elevated intraocular pressure (IOP) and glaucoma regardless of route of administration. This study aimed to determine the reported risk of glaucoma, ocular hypertension (OHT) and IOP elevation associated with ICS and INS use. Materials and Methods: Systematic literature search in MEDLINE, EMBASE, Cochrane, CINAHL, BIOSIS, and Web of Science databases from the date of inception identified studies that assess ocular outcomes related to glaucoma in ICS and INS users. Study selection, risk of bias assessment and data extraction were done independently in duplicate. Meta-analysis assessed glaucoma incidence, OHT incidence and IOP changes in patients using ICS and INS. Study adhered to PRISMA guidelines. Study protocol was registered with PROSPERO: CRD42020190241. Results: Qualitative and quantitative analyses included 65 and 41 studies, respectively. Incidence of glaucoma was not significantly different in either ICS or INS users compared to control over 45,457 person-years of follow-up. Similarly, no significant difference in OHT incidence over 4431 person-years was detected. In studies reporting IOP, a significantly higher IOP was observed (0.69 mmHg) in 857 ICS or INS users compared to 615 controls. However, no significant increase in IOP was observed within ICS or INS users when compared to pre-treatment baseline. Conclusion: Overall, use of ICS or INS does not significantly increase the incidence of glaucoma or OHT. However, ICS and INS patients had significantly higher IOPs compared to untreated patients. Awareness of these findings is significant in care of patients with additional risk factors for glaucoma.
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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 | 0.010 | 0.026 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.020 | 0.039 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".