Evidence map›Paper›PMID 42525442›Full record

ArticleJournal of medical microbiology2026

Evaluation of machine learning pipeline for blood culture outcome prediction on prospectively collected emergency department data.

Benjamin R McFadden, Mark Reynolds, Antonio Celenza, Timothy J J Inglis

Abstract readEvaluation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of medical microbiology, 2026. 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

4 authors.

Benjamin R McFaddenSchool of Physics, Mathematics and Computing, University of Western Australia, Perth 6009, Australia.
Mark ReynoldsSchool of Physics, Mathematics and Computing, University of Western Australia, Perth 6009, Australia.
Antonio CelenzaDiscipline of Emergency Medicine, School of Medicine, University of Western Australia, Perth 6009, Australia.
Timothy J J InglisDiscipline of Pathology and Laboratory Medicine, School of Medicine, University of Western Australia, Perth 6009, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

BacteremiaBlood CultureEmergency Service, HospitalMachine LearningSepsisAdultAgedBoosting Machine Learning AlgorithmsClassification AlgorithmsFemaleHumansMaleMiddle AgedPrediction AlgorithmsPredictive Learning ModelsProspective Studiesblood culturesbloodstream infectionmachine learning

Identifiers

PMID42525442
PMCPMC13419127

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.