ArticleAnesthesiology clinics2008
Genomics: risk and outcomes in cardiac surgery.
Article in Anesthesiology clinics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- Pharmacological management of perioperative bleeding in cardiac surgery.Global cardiology science & practice · 2017Review
- Single nucleotide polymorphism network: a combinatorial paradigm for risk prediction.PloS one · 2013Article
- Postoperative pain trajectories in cardiac surgery patients.Pain research and treatment · 2012Article
- Association of the 98T ELAM-1 polymorphism with increased bleeding after cardiac surgery.Journal of cardiothoracic and vascular anesthesia · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Coronary artery bypass graft surgery is associated with several frequent postoperative adverse events. Outcome prediction is valued by patients and practitioners, because it provides some measure of balancing risks and benefits and provides expensive or higher-risk therapies to individuals at highest risk. Surgeons and anesthesiologists traditionally have relied on demographic, preoperative, and intraoperative risk factors to predict outcomes after cardiac surgery. Yet, such predictions often have poor positive and negative predictive value for the individual patient. Perioperative genetics attempts to determine the impact of an individual's genetic variation on the risk of developing adverse postoperative outcomes. In this article, the authors discuss emerging evidence that a patient's genetic makeup predisposes him or her to adverse outcomes following cardiac surgery and provide examples from perioperative bleeding, myocardial injury/infarction, and atrial fibrillation.
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Identifiers
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.