Evidence map›Paper›PMID 33903161›Full record

ArticlePediatrics2021

Predictive Value of Clinician "Gestalt" in Pediatric Community-Acquired Pneumonia.

Hans M Gao, Lilliam Ambroggio, Samir S Shah, Richard M Ruddy, Todd A Florin

Abstract read
In one paragraph

Article in Pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Hans M GaoFeinberg School of Medicine, Northwestern University, Chicago, Illinois.
Lilliam AmbroggioSections of Emergency Medicine and Hospital Medicine, Department of Pediatrics, Children's Hospital Colorado and University of Colorado, Aurora, Colorado.
Samir S ShahDivisions of Hospital Medicine and Infectious Diseases and.
Richard M RuddyEmergency Medicine, Department of Pediatrics, Cincinnati Children's Hospital Medical Center and College of Medicine, University of Cincinnati, Cincinnati, Ohio; and.
Todd A FlorinFeinberg School of Medicine, Northwestern University, Chicago, Illinois; taflorin@luriechildrens.org.

Funding

Cincinnati Center for Clinical and Translational Sciences and TrainingKL2TR000078 · NCATS · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E., TSEVAT, JOEL · 2012 to 2014
$1.5M
BIOMARKERS AND RISK STRATIFICATION IN PEDIATRIC COMMUNITY-ACQUIRED PNEUMONIAK23AI121325 · NIAID · LURIE CHILDREN'S HOSPITAL OF CHICAGO · PI FLORIN, TODD ADAM · 2016 to 2019
$743k
Metabolomics Evaluation of the Etiology of PneumoniaK01AI125413 · NIAID · UNIVERSITY OF COLORADO DENVER · PI AMBROGGIO, LILLIAM · 2017 to 2021
$641k
NCATS NIH HHS KL2 TR000078NIAID NIH HHS K01 AI125413NIAID NIH HHS K23 AI121325
6 · The paper itself

Abstract

objectivesValidated prognostic tools for pediatric community-acquired pneumonia (CAP) do not exist. Thus, clinicians rely on "gestalt" in management decisions for children with CAP. We sought to determine the ability of clinician gestalt to predict severe outcomes.

methodsWe performed a prospective cohort study of children 3 months to 18 years old presenting to a pediatric emergency department (ED) with lower respiratory infection and receiving a chest radiograph for suspected CAP from 2013 to 2017. Clinicians reported the probability that the patient would develop severe complications of CAP (defined as respiratory failure, empyema or effusion, lung abscess or necrosis, metastatic infection, sepsis or septic shock, or death). The primary outcome was development of severe complications.

resultsOf 634 children, 37 (5.8%) developed severe complications. Of children developing severe complications after the ED visit, 62.1% were predicted as having <10% risk by the ED clinician. Sensitivity was >90% at the <1% predicted risk threshold, whereas specificity was >90% at the 10% risk threshold. Gestalt performance was poor in the low-intermediate predicted risk category (1%-10%). Clinicians had only fair ability to discriminate children developing complications from those who did not (area under the receiver operator characteristic curve 0.747), with worse performance from less experienced clinicians (area under the receiver operator characteristic curve 0.693).

conclusionsClinicians have only fair ability to discriminate children with CAP who develop severe complications from those who do not. Clinician gestalt performs best at very low or higher predicted risk thresholds, yet many children fall in the low-moderate predicted risk range in which clinician gestalt is limited. Evidence-based prognostic tools likely can improve on clinician gestalt, particularly when risk is low-moderate.

Indexed as

Clinical Decision-MakingAdolescentChildChild, PreschoolCohort StudiesCommunity-Acquired InfectionsFemaleGestalt TheoryHumansInfantMalePneumoniaPrognosisProspective Studies

Identifiers

PMID33903161
PMCPMC8086001

What OpenQuestion holds

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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.