Association between ICAM-1 level and diabetic retinopathy: a review and meta-analysis
Bibliographic record
Abstract
Elevated levels of proinflammatory markers are evident in patients with diabetic retinopathy (DR) and are associated with disease progression and prognosis. Intercellular adhesion molecule-1 (ICAM-1) is involved in inflammation and acts as a local intensifying signal in the pathological processes associated with chronic eye inflammation. The aim of this systematic review and meta-analysis was to investigate the relationship between ICAM-1 level and DR. Online electronic databases were searched to retrieve all relevant articles published before December 2017. The standard mean difference (SMD) and their 95% CI were included and then pooled with a random effects model. Subgroup analysis and metaregression analysis were applied to explore the sources of heterogeneity, and publication bias was calculated to assess the quality of pooled studies. A total of 11 articles, containing 428 patients with DR and 789 healthy controls, were included in this meta-analysis. The results indicated a significant increase in ICAM-1 level in the DR group compared with the control group (SMD: 1.20, 95%CI 0.83 to 1.57, p<0.001). Subgroup analyses and metaregression analysis indicated that publication year, region, study method, diabetes mellitus type, Newcastle-Ottawa Scale and sample size were not the potential sources of heterogeneity. The results of this current meta-analysis indicated that the increased level of ICAM-1 generally exists in the patients with DR and it may associated with the severity of DR. However, large-scale and high-quality studies are required to confirm this finding in the future.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".