Evidence map›Paper›PMID 27777519›Full record

ArticleTexas Heart Institute journal2016

Incidence, Predictors, and Impact of Postoperative Atrial Fibrillation after Coronary Artery Bypass Grafting in Military Veterans.

Shuab Omer, Lorraine D Cornwell, Ankur Bakshi, Eric Rachlin, Ourania Preventza, Todd K Rosengart, Joseph S Coselli, Scott A LeMaire, Nancy J Petersen, Greg Pattakos and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Texas Heart Institute journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Shuab Omer
Lorraine D Cornwell
Ankur Bakshi
Eric Rachlin
Ourania Preventza
Todd K Rosengart
Joseph S Coselli
Scott A LeMaire
Nancy J Petersen
Greg Pattakos
Faisal G Bakaeen
Center for Innovation · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Little is known about the frequency and clinical implications of postoperative atrial fibrillation in military veterans who undergo coronary artery bypass grafting (CABG). We examined long-term survival data, clinical outcomes, and associated risk factors in this population. We retrospectively reviewed baseline, intraoperative, and postoperative data from 1,248 consecutive patients with similar baseline risk profiles who underwent primary isolated CABG at a Veterans Affairs hospital from October 2006 through March 2013. Multivariable logistic regression identified predictors of postoperative atrial fibrillation. Kaplan-Meier analysis was used to evaluate long-term survival (the primary outcome measure), morbidity, and length of hospital stay. Postoperative atrial fibrillation occurred in 215 patients (17.2%). Independent predictors of this sequela were age ≥65 years (odds ratios [95% confidence intervals], 1.7 [1.3-2.4] for patients of age 65-75 yr and 2.6 [1.4-4.8] for patients >75 yr) and body mass index ≥30 kg/m

Indexed as

VeteransAgedAge FactorsAtrial FibrillationChi-Square DistributionCoronary Artery BypassCoronary Artery DiseaseFemaleHumansIncidenceKaplan-Meier EstimateLength of StayLogistic ModelsMaleMiddle AgedMultivariate AnalysisAtrial fibrillation/epidemiology/etiology/mortalitycoronary artery bypass/adverse effectshospitals, veterans/statistics & numerical datalength of staypostoperative complicationspredictive value of testsproportional hazards modelsretrospective studiesrisk assessmenttreatment outcome

Identifiers

PMID27777519
PMCPMC5067029
OpenAlexW2530841942

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.