Endothelium-dependent But Not Endothelium-independent Flow-mediated Dilation Is Significantly Reduced in Patients with Systemic Lupus Erythematosus without Vascular Events: A Metaanalysis and Metaregression
Bibliographic record
Abstract
OBJECTIVE: To assess whether endothelium-dependent and endothelium-independent flow-mediated dilation (FMD) are impaired in patients with systemic lupus erythematosus (SLE) with no history of vascular event; and to determine factors moderating impaired FMD in SLE. METHODS: Electronic databases were searched for case-control studies that compared endothelium-dependent and/or endothelium-independent FMD at the brachial artery between SLE patients who were naive for vascular events and matched healthy controls. Effect size as standardized mean difference (SMD) and 95% confidence intervals of FMD between SLE patients and controls was pooled using the inverse variance method. Mixed-model metaregression was performed to identify potential demographic and clinical factors associated with the effect size. RESULTS: Thirteen relevant studies involving 580 patients and 381 matched healthy controls were included. Endothelium-dependent FMD was significantly lower in SLE patients than in controls (SMD -0.832, 95% CI -1.172 to -0.492, p < 0.001). Endothelium-independent FMD, however, did not differ between the 2 groups (SMD -0.179, 95% CI -0.433 to 0.075, p = 0.167). Metaregression revealed that increasing age (r = 0.047, p = 0.037) and duration of SLE (r = 0.008, p = 0.024) at the time of FMD measurement significantly narrowed the difference of endothelium-dependent FMD between patients and controls; whereas sex, smoking, menopause, diabetes mellitus, body mass index, blood pressure, fasting lipid profile, C-reactive protein, and prednisolone use did not. CONCLUSION: Endothelium-dependent, but not endothelium-independent FMD is significantly impaired in lupus patients who are naive for vascular events. Increasing age and longer disease duration may limit the potential of endothelial reactivity as an indicator of early atherosclerosis in SLE.
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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 | 0.013 | 0.022 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.015 | 0.046 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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".