Evidence map›Paper›PMID 23866777›Full record

ReviewJournal of cardiothoracic surgery2013

Potential biomarkers for predicting outcomes in CABG cardiothoracic surgeries.

Isabel Preeshagul, Rajendra Gharbaran, Kyung Hwa Jeong, Ahmed Abdel-Razek, Leonard Y Lee, Elie Elman, K Stephen Suh

Open access · goldAbstract readReview
In one paragraph

Review in Journal of cardiothoracic surgery, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
0.8field-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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

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  13. Can soluble urokinase plasminogen receptor predict outcomes after cardiac surgery?Interactive cardiovascular and thoracic surgery · 2021
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  19. Serum GDF-15 Predicts In-Hospital Mortality and Arrhythmic Risks in Patients With Acute Myocardial Infarction.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
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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

7 authors at 2 institutions in 1 country.

Isabel PreeshagulThe John Theurer Cancer Center, Hackensack University Medical Center, Hackensack, NJ 07601, USA.
Rajendra Gharbaran
Kyung Hwa Jeong
Ahmed Abdel-Razek
Leonard Y Lee
Elie Elman
K Stephen Suh
Hackensack University Medical Center · USRutgers, The State University of New Jersey · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The variations in recovery time, complications, and survival among cardiac patients who have undergone coronary artery bypass graft (CABG) procedures are vast. Many formulas and theories are used to predict clinical outcome and recovery time, and current prognostic predictions are based on medical and family history, lifestyle, co-morbidities, and performance status. The identification of biomarkers that provide concrete evidence supporting clinical outcome has greatly affected the field of medicine, helping clinicians in many medicine sub-specialties to forecast clinical course. Recent studies have discovered biomarkers that may be used as predictors of cardiac patients' status post-cardiothoracic surgery, and the applications are numerous. In this review, we assess currently available cardiac biomarkers as predictors of clinical outcome for post-operative CABG patients. Data were collected from various studies in which cardiac biomarkers were measured in pre-operative and post-operative CABG patients.

Indexed as

BiomarkersCoronary Artery BypassPostoperative ComplicationsHumansOutcome Assessment, Health CarePredictive Value of TestsPrognosisRisk AssessmentRisk FactorsBiomarkers

Identifiers

PMID23866777
PMCPMC3726492
OpenAlexW1984238376

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.