Evidence map›Paper›PMID 22340202›Full record

Trial reportCritical care (London, England)2012

Early recognition of the 2009 pandemic influenza A (H1N1) pneumonia by chest ultrasound.

Americo Testa, Gino Soldati, Roberto Copetti, Rosangela Giannuzzi, Grazia Portale, Nicolò Gentiloni-Silveri

2 registry-linked trialsOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Critical care (London, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 76 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 6 pooled it
3.1field-weighted citation impact, top 9% 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.

NCT04370275 unknown statusnot on this mapstarted 2020, after this paper: background citation

Accuracy of Lung Ultrasound in the Diagnosis of covid19 Pneumonia: a Multicenter Study in the Italian Outbreak

TypeobservationalSponsorOspedale di LatisanaRan2020 to 2020Enrolled235ConditionsCOVID-19, Pneumonia, Viral
NCT04661631 unknown statusnot on this mapstarted 2020, after this paper: background citation

Lung Ultrasound in COVID-19 Infection Screening for Patients With Indication of Emergency Surgery

Typeobservational_patient_registrySponsorFundacion Clinica Valle del LiliRan2020 to 2021Enrolled451ConditionsUltrasonography, Lung Diseases, Surgical Procedure, Covid19ArmsLung ultrasound
3 · Its place in the literature

Who cites it

76 citing papers in PubMed, 6 syntheses or guidelines pooled it, 139 citations in OpenAlex.

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  11. Infectious Pneumonia and Lung Ultrasound: A Review.Journal of clinical medicine · 2023
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16 more citing papers are in PubMed but not listed here.

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

6 authors at 2 institutions in 1 country.

Americo TestaDepartment of Emergency Medicine, A, Gemelli University Hospital, Rome, Italy. americotesta@gmail.com
Gino Soldati
Roberto Copetti
Rosangela Giannuzzi
Grazia Portale
Nicolò Gentiloni-Silveri
Agostino Gemelli University Polyclinic · ITOspedale Sant Antonio · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe clinical picture of the pandemic influenza A (H1N1)v ranges from a self-limiting afebrile infection to a rapidly progressive pneumonia. Prompt diagnosis and well-timed treatment are recommended. Chest radiography (CRx) often fails to detect the early interstitial stage. The aim of this study was to evaluate the role of bedside chest ultrasonography (US) in the early management of the 2009 influenza A (H1N1)v infection.

methods98 patients who arrived in the Emergency Department complaining of influenza-like symptoms were enrolled in the study. Patients not displaying symptoms of acute respiratory distress were discharged without further investigations. Among patients with clinical suggestion of a community-acquired pneumonia, cases encountering other diagnoses or comorbidities were excluded from the study. Clinical history, laboratory tests, CRx, and computed tomography (CT) scan, if indicated, contributed to define the diagnosis of pneumonia in the remaining patients. Chest US was performed by an emergency physician, looking for presence of interstitial syndrome, alveolar consolidation, pleural line abnormalities, and pleural effusion, in 34 patients with a final diagnosis of pneumonia, in 16 having normal initial CRx, and in 33 without pneumonia, as controls.

resultsChest US was carried out without discomfort in all subjects, requiring a relatively short time (9 minutes; range, 7 to 13 minutes). An abnormal US pattern was detected in 32 of 34 patients with pneumonia (94.1%). A prevalent US pattern of interstitial syndrome was depicted in 15 of 16 patients with normal initial CRx, of whom 10 (62.5%) had a final diagnosis of viral (H1N1) pneumonia. Patients with pneumonia and abnormal initial CRx, of whom only four had a final diagnosis of viral (H1N1) pneumonia (22.2%; P<0.05), mainly displayed an US pattern of alveolar consolidation. Finally, a positive US pattern of interstitial syndrome was found in five of 33 controls (15.1%). False negatives were found in two (5.9%) of 34 cases, and false positives, in five (15.1%) of 33 cases, with sensitivity of 94.1%, specificity of 84.8%, positive predictive value of 86.5%, and negative predictive value of 93.3%.

conclusionsBedside chest US represents an effective tool for diagnosing pneumonia in the Emergency Department. It can accurately provide early-stage detection of patients with (H1N1)v pneumonia having an initial normal CRx. Its routine integration into their clinical management is proposed.

Indexed as

Influenza A Virus, H1N1 SubtypePandemicsAdultAgedAged, 80 and overEarly DiagnosisFemaleHumansInfluenza, HumanMaleMiddle AgedPneumonia, ViralUltrasonography

Identifiers

PMID22340202
PMCPMC3396276
OpenAlexW2117171866

What OpenQuestion holds

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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.