Evidence map›Paper›PMID 28213669›Full record

SynthesisCurrent cardiology reports2017

Aspirin Use Prior to Coronary Artery Bypass Grafting Surgery: a Systematic Review.

Ayman Elbadawi, Marwan Saad, Ramez Nairooz

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Current cardiology reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

Ayman ElbadawiDepartment of Medicine, Rochester General Hospital, Rochester, NY, USA.
Marwan SaadDivision of Cardiovascular Medicine, University of Arkansas for Medical Sciences, 4301 W Markham St, Little Rock, AR, 72205,, USA.
Ramez NairoozDivision of Cardiovascular Medicine, University of Arkansas for Medical Sciences, 4301 W Markham St, Little Rock, AR, 72205,, USA. ramez.nairooz@gmail.com.
University of Arkansas for Medical Sciences · USAin Shams University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewAspirin use before coronary artery bypass graft (CABG) surgery has been a puzzling question for years. Controversy existed regarding the overall benefits vs. risk of pre-operative aspirin use and was translated to conflicting guidelines from major societies. RECENT

findingsObservational studies have suggested a reduced mortality with pre-operative aspirin use. A meta-analysis of randomized controlled trials showed increased risk of post-operative bleeding with aspirin, with no associated increased mortality risk. A recent large randomized controlled trial did not find a significant difference in bleeding risk or post-operative mortality with pre-CABG aspirin use. The results of available studies showed a beneficial effect with pre-CABG aspirin use by decreasing thrombotic complications and perioperative myocardial infarction, with an associated adverse risk of bleeding that did not affect mortality rates. Given overall benefit-risk assessment, we are in favor of pre-operative aspirin use in CABG patients.

Indexed as

Coronary Artery BypassAspirinCoronary Artery DiseaseHumansMeta-Analysis as TopicMyocardial InfarctionPlatelet Aggregation InhibitorsPostoperative HemorrhagePractice Guidelines as TopicPreoperative CareRandomized Controlled Trials as TopicRisk AssessmentAspirinPlatelet Aggregation InhibitorsAspirinCardiac surgeryCoronary artery bypass graftPre-operative

Identifiers

PMID28213669
OpenAlexW2587909091

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.