Evidence map›Paper›PMID 35126630›Full record

ArticleComputational and mathematical methods in medicine2022

The Value of Pulmonary Bedside Ultrasound System in the Evaluation of Severity and Prognosis of Acute Lung Injury.

Lei Li, Yanfen Yao, Shanshan Liu

Retracted Registry-linked trialOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. It is linked to trial NCT05631756 ("Correlation Between PaO2/FiO2 and Lung Ultrasound Score in Patients Admitted to an Intensive Care Unit With Interstitial Syndrome), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 41% 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.

NCT05631756 nacompletednot on this mapstarted 2023, after this paper: background citation

"Correlation Between PaO2/FiO2 and Lung Ultrasound Score in Patients Admitted to an Intensive Care Unit With Interstitial Syndrome: A Prospective Physiological Study"

TypeinterventionalSponsorCliniques universitaires Saint-Luc- Université Catholique de LouvainRan2023 to 2025Enrolled86ConditionsInterstitial Lung DiseaseArmsLung Ultrasound
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Lei LiCentral Laboratory of Shandong Provincial Institute for Endemic Disease Prevention and Control, Jinan 250014, China.
Yanfen YaoDepartment of Intensive Care Unit, Shandong Provincial Third Hospital, Jinan 250031, China.
Shanshan LiuDepartment of Intensive Care Unit, Shandong Provincial Third Hospital, Jinan 250031, China.ORCID https://orcid.org/0000-0002-2744-044X
Shandong Provincial Hospital · CNInstitute of Endemic Disease Control in Shandong Province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the value of pulmonary bedside ultrasound system in the assessment of severity and prognosis of acute lung injury (ALI).

methodSeventy-two ALI patients in the intensive care unit (ICU) of our hospital from April 2019 to April 2021 were selected as subjects. The changes of lung ultrasound score (LUS) and parameters at D1, D2, and D3 after admission were analyzed (LUS, oxygenation index (PaO

resultLUSs at D1, D2 and D3 showed an increasing trend with the increase of disease severity (

conclusionLUS can evaluate the change of pulmonary ventilation area in ALI patients, further evaluate the severity of the disease, and effectively predict the prognosis of patients.

Indexed as

Point-of-Care TestingAcute Lung InjuryAPACHEBlood Gas AnalysisComputational BiologyFemaleHumansIntensive Care UnitsLogistic ModelsLungMaleMiddle AgedOrgan Dysfunction ScoresPrognosisRisk FactorsROC Curve

Identifiers

PMID35126630
PMCPMC8813219
OpenAlexW4210517660

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.