Evidence map›Paper›PMID 32616046›Full record

ArticleBMC medical informatics and decision making2020

How good is our diagnostic intuition? Clinician prediction of bacteremia in critically ill children.

Katherine E M Hoops, James C Fackler, Anne King, Elizabeth Colantuoni, Aaron M Milstone, Charlotte Woods-Hill

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

7 citing papers in PubMed, 6 citations in OpenAlex.

  1. Observational
  2. Article
  3. Intuitive Medicine: A New Vision for Medical Education.Advances in medical education and practice · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. 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

6 authors at 2 institutions in 1 country.

Katherine E M HoopsDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA. khoops1@jhmi.edu.ORCID 0000-0002-6404-5422
James C FacklerDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Anne KingDepartment of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Elizabeth ColantuoniDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Aaron M MilstoneDepartment of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Charlotte Woods-HillDepartment of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Johns Hopkins University · USChildren's Hospital of Philadelphia · US

Funding

Mentoring in prevention of hospital-acquired infections and antibiotic resistanceK24AI141580 · NIAID · JOHNS HOPKINS UNIVERSITY · PI AARON M MILSTONE · 2019 to 2026
$1.4M
NIAID NIH HHS K24 AI141580
6 · The paper itself

Abstract

backgroundClinical intuition and nonanalytic reasoning play a major role in clinical hypothesis generation; however, clinicians' intuition about whether a critically ill child is bacteremic has not been explored. We endeavored to assess pediatric critical care clinicians' ability to predict bacteremia and to evaluate what affected the accuracy of those predictions.

methodsWe conducted a retrospective review of clinicians' responses to a sepsis screening tool ("Early Sepsis Detection Tool" or "ESDT") over 6 months. The ESDT was completed during the initial evaluation of a possible sepsis episode. If a culture was ordered, they were asked to predict if the culture would be positive or negative. Culture results were compared to predictions for each episode as well as vital signs and laboratory data from the preceding 24 h.

resultsFrom January to July 2017, 266 ESDTs were completed. Of the 135 blood culture episodes, 15% of cultures were positive. Clinicians correctly predicted patients with bacteremia in 82% of cases, but the positive predictive value was just 28% as there was a tendency to overestimate the presence of bacteremia. The negative predictive value was 96%. The presence of bandemia, thrombocytopenia, and abnormal CRP were associated with increased likelihood of correct positive prediction.

conclusionsClinicians are accurate in predicting critically ill children whose blood cultures, obtained for symptoms of sepsis, will be negative. Clinicians frequently overestimate the presence of bacteremia. The combination of evidence-based practice guidelines and bedside judgment should be leveraged to optimize diagnosis of bacteremia.

Indexed as

BacteremiaChildCritical IllnessHumansIntuitionRetrospective StudiesSepsisBacteremiaDecision supportPredictionQuality improvementSepsisStewardship

Identifiers

PMID32616046
PMCPMC7330962
OpenAlexW3040111182

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.