Evidence map›Paper›PMID 33367988›Full record

ReviewCardiology and therapy2021

Preoperative, Multidisciplinary Clinical Optimization of Patients with Severely Depressed Left Ventricular Ejection Fraction Who Are Undergoing Coronary Artery Bypass Grafting.

Islam Mohammad Shehata, Tiffany D Odell, Amir Elhassan, Maxim Spektor, Ivan Urits, Omar Viswanath, George M Jeha, Elyse M Cornett, Alan D Kaye

Erratum issuedOpen access · goldAbstract readReview
In one paragraph

Review in Cardiology and therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 2 countries.

Islam Mohammad ShehataDepartment of Anesthesiology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Tiffany D OdellDepartment of Neurosurgery, Desert Regional Medical Center, Palm Springs, CA, USA.
Amir ElhassanDepartment of Anesthesiology, Desert Regional Medical Center, Palm Springs, CA, USA.
Maxim SpektorDepartment of Surgery, Desert Regional Medical Center, Palm Springs, CA, USA.
Ivan UritsDepartment of Anesthesiology, Critical Care, and Pain Medicine, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Omar ViswanathDepartment of Anesthesiology, LSU Health Shreveport, Shreveport, LA, USA.
George M JehaLouisiana State University Health Sciences Center, New Orleans, LA, USA.
Elyse M CornettDepartment of Anesthesiology, LSU Health Shreveport, Shreveport, LA, USA.
Alan D KayeDepartment of Anesthesiology, LSU Health Shreveport, Shreveport, LA, USA. akaye@lsuhsc.edu.ORCID http://orcid.org/0000-0003-2464-0187
Desert Regional Medical Center · USLouisiana State University Health Sciences Center Shreveport · USAin Shams University · EGBeth Israel Deaconess Medical Center · USCreighton University · USLouisiana State University Health Sciences Center New Orleans · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary artery bypass grafting (CABG) remains a routine operation despite major advancements in angioplastic procedures. Around 200,000 CABG procedures are performed annually in the U.S. Patients who are not candidates for angioplasty intervention often have advanced coronary disease and comorbidities that raise the risk of heart failure with decreased ejection fraction to around 25%. Over the years, significant developments in various preoperative interventions have occurred; in this paper, we suggest a multidisciplinary preoperative algorithm that can be included in a regularly scheduled multidisciplinary care plan.

Indexed as

CardiomyopathyCoronary artery bypassLow ejection fractionPreoperative optimization

Identifiers

PMID33367988
PMCPMC8126524
OpenAlexW3114054324

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.