Evidence map›Paper›PMID 30100847›Full record

ReviewSaudi journal of anaesthesia

Lung ultrasound: Predictor of acute respiratory distress syndrome in intensive care unit patients.

Ying Zhou, Qianqian Fan, Omer Cavus, Xuezheng Zhang

Open access · diamondAbstract readReview
In one paragraph

Review in Saudi journal of anaesthesia. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Trial
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  11. Acute respiratory distress syndrome in acute pancreatitis.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2020
    Review
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

4 authors at 3 institutions in 2 countries.

Ying ZhouDepartment of Anesthesiology, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.
Qianqian FanDepartment of Anesthesiology, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.
Omer CavusDepartment of Anesthesiology, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.
Xuezheng ZhangDepartment of Anesthesiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Wenzhou Medical University · CNThe Ohio State University Wexner Medical Center · USXijing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of the study was to review and summarize current literature concerning the validation and application of lung ultrasound (LUS) in critically ill patients with acute respiratory distress syndrome (ARDS). MATERIALS AND

methodsAn extensive literature search was conducted using PubMed, Cochrane Review, Google Scholar, and Ohio State University Link based on the question if LUS should be considered a reliable investigational technique for ARDS diagnosis, treatment, and prognosis in pediatric and adult population.

resultsLUS has been successfully validated for facilitating early diagnosis and diagnosis of simultaneous lung conditions, predicting lung recruitment treatment effect, and evaluating the prognosis in ARDS patients. Whether lung US is a useful tool in the prediction of prone position and oxygenation response in patients with ARDS is conflicting.

conclusionsLUS is a noninvasive, radiation-free, cheap, and easy to perform tool for critically ill patients with ARDS and might be a promising technique used in the Intensive Care Unit for ARDS management.

Indexed as

Acute respiratory distress syndromeextravascular lung water indicesIntensive Care Unitlung recruitment maneuverslung ultrasoundprone positioning oxygenation response

Identifiers

PMID30100847
PMCPMC6044168
OpenAlexW2810184270

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.