Evidence map›Paper›PMID 37592970›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2023

Developing a diagnosis calculator to estimate the probability of bacterial pneumonia.

Jonathan D Baghdadi, Ravi Tripathi, Lisa Pineles, Anthony D Harris, Danica Palacio, Drew Charles, Kimberly C Claeys, Emily Heil, Jackie Bork, Daniel J Morgan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Jonathan D BaghdadiDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA.ORCID https://orcid.org/0000-0002-2442-0654
Ravi TripathiDivision of Infectious Diseases, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
Lisa PinelesDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA.
Anthony D HarrisDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA.
Danica PalacioDivision of Infectious Diseases, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.ORCID https://orcid.org/0000-0002-2505-377X
Drew CharlesDivision of Infectious Diseases, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
Kimberly C ClaeysDepartment of Pharmacy Practice and Science, University of Maryland School of Pharmacy, Baltimore, MD, USA.ORCID https://orcid.org/0000-0001-6895-604X
Emily HeilDepartment of Pharmacy Practice and Science, University of Maryland School of Pharmacy, Baltimore, MD, USA.
Jackie BorkDivision of Infectious Diseases, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.ORCID https://orcid.org/0000-0002-1546-6634
Daniel J MorganDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA.

Funding

AHRQ HHS K08 HS028854
6 · The paper itself

Abstract

Misdiagnosis of bacterial pneumonia increases risk of exposure to inappropriate antibiotics and adverse events. We developed a diagnosis calculator (https://calculator.testingwisely.com) to inform clinical diagnosis of community-acquired bacterial pneumonia using objective indicators, including incidence of disease, risk factors, and sensitivity and specificity of diagnostic tests, that were identified through literature review.

Identifiers

PMID37592970
PMCPMC10428145

What OpenQuestion holds

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Registered trials

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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.