Evidence map›Paper›PMID 36030131›Full record

ArticleUltrasound in medicine & biology2022

Lung Ultrasound Induction of Pulmonary Capillary Hemorrhage in Neonatal Swine.

Douglas L Miller, Chunyan Dou, Zhihong Dong

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ultrasound in medicine & biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Lowering Mechanical Index Reduces B-Lines: Balancing Safety With Accuracy in Lung Ultrasound.Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography · 2024
    Article
  3. Frame Rate Exposimetry for Pulmonary Capillary Hemorrhage During Lung Ultrasound.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2023
    Article
  4. 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

3 authors at 1 institution in 1 country.

Douglas L MillerDepartment of Radiology, University of Michigan Medical School, Ann Arbor, Michigan, USA. Electronic address: douglm@umich.edu.
Chunyan DouDepartment of Radiology, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Zhihong DongDepartment of Radiology, University of Michigan Medical School, Ann Arbor, Michigan, USA.
University of Michigan · US

Funding

Ultrasound-Induced Pulmonary Hemorrhage During Diagnostic Examination of the LungR01HL116434 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MILLER, DOUGLAS LAWRENCE · 2013 to 2021
$4.2M
NHLBI NIH HHS R01 HL116434
6 · The paper itself

Abstract

This study investigated induction of pulmonary capillary hemorrhage (PCH) in neonatal pigs (piglets) using three different machines: a GE Venue R1 point-of-care system with C1-5 and L4-12t probes, a GE Vivid 7 Dimension with a 7L probe and a SuperSonic Imagine machine with an SL15-4 probe and shear wave elastography (SWE). Female piglets were anesthetized, and each was mounted vertically in a warm bath for scanning at two or three intercostal spaces. After aiming at an innocuous output, the power was raised for a test exposure. Hydrophone measurements were used to calculate in situ values of mechanical index (MI

Indexed as

Elasticity Imaging TechniquesLung DiseasesAnimalsDisease Models, AnimalFemaleHemorrhageLungRatsRats, Sprague-DawleySwineBio-effects of ultrasoundB-linesDiagnostic ultrasound safetyPulmonary ultrasoundUltrasound dosimetry

Identifiers

PMID36030131
PMCPMC9942946
OpenAlexW4293005812

What OpenQuestion holds

Textmetadata
LicenceTDM
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.