Evidence map›Paper›PMID 36204563›Full record

SynthesisFrontiers in cardiovascular medicine2022

Outcomes of atherectomy in treating severely calcified coronary lesions in patients with reduced left ventricular ejection fraction: A systematic review and meta-analysis.

Waiel Abusnina, Mostafa Reda Mostafa, Ahmad Al-Abdouh, Qais Radaideh, Mahmoud Ismayl, Mahboob Alam, Jaffer Shah, Noraldeen El Yousfi, Timir K Paul, Itsik Ben-Dor and 1 more

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

11 authors at 8 institutions in 3 countries.

Waiel AbusninaDepartment of Cardiology, Creighton University School of Medicine, Omaha, NE, United States.
Mostafa Reda MostafaDepartment of Medicine, Rochester Regional/Unity Hospital, Rochester, NY, United States.
Ahmad Al-AbdouhDepartment of Medicine, University of Kentucky, Lexington, KY, United States.
Qais RadaidehDepartment of Cardiology, Creighton University School of Medicine, Omaha, NE, United States.
Mahmoud IsmaylDepartment of Cardiology, Creighton University School of Medicine, Omaha, NE, United States.
Mahboob AlamSection of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX, United States.
Jaffer ShahMedical Research Center, Kateb University, Kabul, Afghanistan.
Noraldeen El YousfiTripoli Medical Center, Tripoli, Libya.
Timir K PaulDepartment of Medical Education, University of Tennessee at Nashville, Nashville, TN, United States.
Itsik Ben-DorSection of Interventional Cardiology, MedStar Washington Hospital Center, Washington, DC, United States.
Khagendra DahalDepartment of Cardiology, Creighton University School of Medicine, Omaha, NE, United States.
Creighton University · USBaylor College of Medicine · USKateb UniversityMedStar Washington Hospital Center · USUnity Hospital · USUniversity of Kentucky · USUniversity of Tennessee at Knoxville · USUniversity of Tripoli · LY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Severely calcified coronary lesions with reduced left ventricular (LV) function result in worse outcomes. Atherectomy is used in treating such lesions when technically feasible. However, there is limited data examining the safety and efficacy of atherectomy without hemodynamic support in treating severely calcified coronary lesions in patients with reduced left ventricular ejection fraction (LVEF). Objective: To evaluate the clinical outcomes of atherectomy in patient with reduced LVEF. Methods: We searched PubMed, Cochrane CENTRAL Register and ClinicalTrials.gov (inception through July 21, 2021) for studies evaluating the outcomes of atherectomy in patients with severe LV dysfunction. We used random-effect model to calculate risk ratio (RR) with 95% confidence interval (CI). The endpoints were in-hospital and long term all-cause mortality, cardiac death, myocardial infarction (MI), and target vessel revascularization (TVR). Results: A total of 7 studies consisting of 2,238 unique patients were included in the analysis. The median follow-up duration was 22.4 months. The risk of in-hospital all-cause mortality using atherectomy in patients with severely reduced LVEF compared to the patients with moderate reduced or preserved LVEF was [2.4vs.0.5%; RR:5.28; 95%CI 1.65-16.84; Conclusion: Our meta-analysis suggested that the patients with severely reduced LVEF when using atherectomy devices experienced higher risk of clinical outcomes in the terms of all-cause mortality and cardiac mortality. As we know that the patients with severely reduced LVEF are inherently at increased risk of adverse clinical outcomes, this information should be considered hypothesis generating and utilized while discussing the risks and benefits of atherectomy in such high risk patients. Future studies should focus on the comparison of outcomes of different atherectomy devices in such patients. Adjusting for the inherent mortality risk posed by left ventricular dysfunction may be a strategy while designing a study.

Indexed as

atherectomyleft ventricular dysfunctionpercutaneous coronary interventionreduced ejection fractionsevere coronary calcification

Identifiers

PMID36204563
PMCPMC9530054
OpenAlexW4297906905

What OpenQuestion holds

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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.