Evidence map›Paper›PMID 41235929›Full record

ArticleJournal of clinical microbiology2025

Evaluation of the Hologic Panther Fusion investigational use only assays for gastrointestinal bacterial pathogens.

Rama R Yakubu, Jacob Merwede, Brianna Viglione, Vikas Patel, David R Peaper

Abstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Rama R YakubuDepartment of Laboratory Medicine, Yale University, New Haven, Connecticut, USA.ORCID 0000-0003-0298-6734
Jacob MerwedeDepartment of Laboratory Medicine, Yale New Haven Hospital, New Haven, Connecticut, USA.
Brianna ViglioneDepartment of Laboratory Medicine, Yale New Haven Hospital, New Haven, Connecticut, USA.
Vikas PatelDepartment of Laboratory Medicine, Yale New Haven Hospital, New Haven, Connecticut, USA.
David R PeaperDepartment of Laboratory Medicine, Yale University, New Haven, Connecticut, USA.ORCID 0000-0002-9952-5012

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Historic detection methods for diarrheal pathogens are time-consuming, laborious, and may lack specificity and sensitivity. Multiplexed molecular panels for enteric pathogens are widely used for rapid and accurate results. We evaluated the performance of the investigational use only (IUO) Hologic Panther Fusion GI Bacterial and Expanded Bacterial assays (Fusion GI Bac), the Verigene Enteric Pathogens (EP), and BioFire FilmArray Gastrointestinal (BioFire GI) panels for the detection of primary bacterial causes of gastrointestinal infection. We conducted a multi-platform evaluation for the detection of IMPORTANCE: Bacterial causes of diarrhea lead to significant morbidity and mortality around the world. Historic testing methods, for example, antigens and culture. For these reasons, molecular testing for enteric bacterial pathogens has become widely used, but there are limited numbers of commercially available tests on the market, especially those suitable for higher-throughput testing. We show that the high-throughput, random- access investigational use only Hologic Panther Fusion Gastrointestinal (GI) Bacterial assay and Panther Fusion GI Expanded Bacterial assay perform comparably to existing assays.

Indexed as

BacteriaBacterial InfectionsGastrointestinal DiseasesMolecular Diagnostic TechniquesFecesHumansSensitivity and Specificitydiarrheaentericmolecularmultiplexstool pathogens

Identifiers

PMID41235929
PMCPMC12710347

What OpenQuestion holds

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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.