The Effect of Fluorescein Angiography on Renal Function: A Meta-analysis and Systematic Review
Bibliographic record
Abstract
Background. Contrast-induced nephropathy (CIN) is a complication that occurs in patients undergoing an imaging procedure with intravenous injection of contrast media, most notably iodinated dyes. Fluorescein angiography is a diagnostic procedure performed by ophthalmologists to determine abnormalities in retinal blood vessels. It uses sodium fluorescein, an organic dye, to capture and visualize these blood vessels. There have been conflicting data and practices on how to approach the procedure especially in patients with renal insufficiency. Objective. To determine the risk of CIN among patients undergoing fluorescein angiography. Methods. We searched PubMed, HerdIn, Cochrane Library, and Google Scholar, for published articles on the topic. Other sources were searched for unpublished data or ongoing clinical trials. All research articles pertaining to fluorescein angiography and its effect on renal function with serum creatinine monitoring were included. Two independent authors separately screened records, assessed full texts, and extracted data. We used RevMan computer software to analyze data from the included studies. The primary outcome was the risk of CIN among patients undergoing fluorescein angiography based on the differences on serum creatinine levels and estimated glomerular filtration rates pre- and post-angiography, while the secondary outcome included risk factors for CIN. Results. A total of 6 studies were included in the meta-analysis. Four studies had poor quality as assessed using the Newcastle-Ottawa Scale. One study was deemed to have good quality. Data analysis showed that hemoglobin (p = 0.002) and albumin (p < 0.001) levels may be associated with CIN using sodium fluorescein but were not independent risk factors for CIN (multivariable logistic regression, p = 0.648 and p = 0.069, respectively); while sex, diabetes mellitus and chronic kidney disease were not significantly associated. As a primary outcome, only 6.8% of included patients had CIN with serum creatinine levels post-exposure showed significant differences from baseline values (mean difference 0.05; 95% CI 0.02, 0.07; I2 = 49%), but translating it to eGFR yielded non-significant differences (mean difference -0.37; 95% CI -2.33, 1.59; I2 = 0%). Conclusion. Among patients undergoing fluorescein angiography, sodium fluorescein does not pose an increased risk for CIN.
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".