Evidence map›Paper›PMID 35999068›Full record

Trial reportThe American journal of cardiology2022

Comparison of Longitudinal Skeletal Thigh Muscle Findings With Magnetic Resonance Imaging in Patients With Peripheral Artery Disease With-Versus-Without Diabetes Mellitus.

Olga A Gimnich, Carlos B Ortiz, Eric Y Yang, Changyi Chen, Salim S Virani, Panos Kougias, Alan B Lumsden, Joel D Morrisett, Christie M Ballantyne, Vijay Nambi and 1 more

Open access · greenAbstract readClinical Trial
In one paragraph

Trial report in The American journal of cardiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Article
  3. 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 6 institutions in 1 country.

Olga A GimnichPenn State Heart and Vascular Institute, Pennsylvania State University College of Medicine, Hershey, Pennsylvania.
Carlos B OrtizDivision of Atherosclerosis and Vascular Medicine, Department of Medicine, Baylor College of Medicine, Houston, Texas.
Eric Y YangDepartment of Medicine, University of Texas Health Science Center, San Antonio, Texas.
Changyi ChenDivision of Atherosclerosis and Vascular Medicine, Department of Medicine, Baylor College of Medicine, Houston, Texas.
Salim S ViraniSection of Cardiology, Michael E. DeBakey VA Medical Center, Houston, Texas; Division of Atherosclerosis and Vascular Medicine, Department of Medicine, Baylor College of Medicine, Houston, Texas.
Panos KougiasDepartment of Surgery, Downstate Health Sciences University, Brooklyn, New York.
Alan B LumsdenMethodist DeBakey Heart and Vascular Center, Houston Methodist Hospital, Houston Texas.
Joel D MorrisettDivision of Atherosclerosis and Vascular Medicine, Department of Medicine, Baylor College of Medicine, Houston, Texas.
Christie M BallantyneDivision of Atherosclerosis and Vascular Medicine, Department of Medicine, Baylor College of Medicine, Houston, Texas.
Vijay NambiSection of Cardiology, Michael E. DeBakey VA Medical Center, Houston, Texas; Division of Atherosclerosis and Vascular Medicine, Department of Medicine, Baylor College of Medicine, Houston, Texas.
Gerd BrunnerPenn State Heart and Vascular Institute, Pennsylvania State University College of Medicine, Hershey, Pennsylvania; Division of Atherosclerosis and Vascular Medicine, Department of Medicine, Baylor College of Medicine, Houston, Texas. Electronic address: gbrunner@pennstatehealth.psu.edu.
Baylor College of Medicine · USMichael E. DeBakey VA Medical Center · USHouston Methodist · USPenn State Milton S. Hershey Medical Center · USSUNY Downstate Health Sciences University · USThe University of Texas Health Science Center at San Antonio · US

Funding

Magnetic Resonance Imaging Based Calf Muscle Perfusion To Assess Patients With Symptomatic Peripheral Artery DiseaseR01HL137763 · NHLBI · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI BRUNNER, GERD · 2017 to 2021
$2.6M
Microvascular Perfusion Assessment of Ischemic Diabetic Ulcers Using MRIK25HL121149 · NHLBI · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI BRUNNER, GERD · 2015 to 2019
$799k
NHLBI NIH HHS K25 HL121149NHLBI NIH HHS R01 HL137763
6 · The paper itself

Abstract

The aim of this secondary analysis of ELIMIT (The Effect of Lipid Modification on Peripheral Artery Disease after Endovascular Intervention Trial) was to determine longitudinal changes over 24 months in skeletal thigh muscle volumes and individual muscle compartments in patients with peripheral artery disease (PAD) with and without diabetes. A total of 48 patients with available magnetic resonance imaging of the distal superficial femoral artery at baseline and 2 years were included in this analysis. Muscle volumes and superficial femoral artery wall, lumen, and total vessel volumes were quantified. Intrareader reproducibility of muscle tracings was assessed with the intraclass correlation coefficient using a 2-way model. Baseline characteristics were similar between patients with PAD with and without diabetes, except for smoking history (p = 0.049), cholesterol levels (p <0.050), and calf walking pain (p = 0.049). Interobserver reproducibility of the muscle volume tracings was excellent for all muscle groups (all intraclass correlation coefficients >0.86, confidence interval 0.69 to 0.94). Total muscle and total leg volumes increased significantly between baseline and 24 months among patients with PAD without diabetes (31 ± 6.4 cm

Indexed as

Diabetes MellitusPeripheral Arterial DiseaseHumansMagnetic Resonance ImagingMuscle, SkeletalReproducibility of ResultsThigh

Identifiers

PMID35999068
PMCPMC11600339
OpenAlexW4292541015

What OpenQuestion holds

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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.