ReviewScience bulletin2026
Taming inflammation in coronary artery disease: lessons learned, translational breakthroughs, and future directions.
Review in Science bulletin, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Inflammation is an essential physiological process that preserves host homeostasis, yet chronic inflammation is now recognized as a common pathological basis of many diseases. In coronary artery disease (CAD), chronic inflammation is central to the initiation and progression of atherosclerosis. Accordingly, anti-inflammatory therapy has emerged as a major focus of investigation in this field. Although multiple inflammatory pathways have been evaluated as therapeutic targets in clinical trials, strategies with demonstrated clinical benefit remain limited. In this review, we examine the sources of inflammation in CAD, approaches to inflammatory risk stratification, and advances in anti-inflammatory therapy. To explain divergent trial outcomes and guide future clinical translation, we propose a 4R framework: the right target, the right patient, the right timing, and the right benefit-risk balance. Anti-inflammatory treatment remains promising. Within this framework, refined inflammatory phenotyping and evaluation of stage-dependent efficacy represent immediate priorities for future trials.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.