Assessing the Methodological Quality of Glaucoma Clinical Practice Guidelines and Their Recommendations on Microinvasive Glaucoma Surgery: A Systematic Review
Bibliographic record
Abstract
INTRODUCTION: Clinical practice guidelines (CPG) are regarded by many as critical communications providing guidance within specific medical fields. Over a decade ago, the first microinvasive glaucoma surgical (MIGS) procedures were introduced. Since then, a number of these novel intraocular pressure controlling surgical options have been approved worldwide. Governing bodies and health care administration often utilize CPGs when considering funding for newer technologies. This highlights the importance of well-written, accurate, and up-to-date CPGs in the rapidly evolving field of MIGS. If CPGs are unable to fill this role, their use in treatment decision-making is doing a disservice to patients, who will be denied currently available and potentially superior care. To determine the overall value of a CPG, the methodological quality with which it was developed, in addition to the current relevance and appropriateness of its recommendations, should be evaluated. The objective of the present study was to assess the methodological quality of currently available international glaucoma CPGs, as well as their coverage of MIGS as a surrogate marker of relevance and appropriateness to policy-makers and ophthalmologists alike. MATERIALS AND METHODS: To identify potentially relevant CPGs, a predefined search strategy was used to search the following databases: Medline, EMBASE, BIOSIS, and Web of Science. All CPGs related to adult glaucoma and published in English were included. CPG methodological quality was assessed by 3 individuals using the Appraisal of Guidelines for Research and Evaluation II (AGREE II) tool. Studies were then assessed for coverage of MIGS devices and procedures. RESULTS: Search strategy and subsequent screening identified 11 CPGs for analysis. Eight were of high quality according to the AGREE II criteria. Three included basic information on MIGS, but none provided specific recommendations regarding their indications or which patient populations would benefit most. CONCLUSIONS: Many international glaucoma CPGs are of high methodological quality. However, coverage of MIGS is sparse, nonspecific and in many instances, absent. This causes CPGs to be a suboptimal source in guiding physicians and health policy-makers in areas characterized by novel and/or rapidly evolving technologies. Mechanisms to incorporate updated evidence in CPGs would have to be considered before they can be used as a source of contemporary clinical decision-making.
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 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 | 0.106 | 0.591 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.012 | 0.004 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".