Evidence map›Paper›PMID 39040176›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Clinical Pilot of Bacterial Transcriptional Profiling as a Combined Genotypic and Phenotypic Antimicrobial Susceptibility Test.

E L Young, D J Roach, M A Martinsen, Geg McGrath, N R Holbrook, H E Cho, E Y Seyoum, V M Pierce, R P Bhattacharyya

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. 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

5 · Who and what money

Authors and funding

9 authors.

E L YoungThe Broad Institute of MIT and Harvard, Boston, MA, USA.
D J RoachThe Broad Institute of MIT and Harvard, Boston, MA, USA.ORCID 0000-0001-5199-0452
M A MartinsenThe Broad Institute of MIT and Harvard, Boston, MA, USA.
Geg McGrathDepartment of Pathology, Massachusetts General Hospital, Boston, MA, USA.
N R HolbrookDepartment of Pathology, Massachusetts General Hospital, Boston, MA, USA.
H E ChoDepartment of Pathology, Massachusetts General Hospital, Boston, MA, USA.
E Y SeyoumThe Broad Institute of MIT and Harvard, Boston, MA, USA.
V M PierceDepartment of Pathology, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0002-3723-1326
R P BhattacharyyaThe Broad Institute of MIT and Harvard, Boston, MA, USA.ORCID 0000-0001-6955-5088

Funding

INFECTIOUS DISEASE AND BASIC MICROBIOLOGICAL MECHANISMST32AI007061 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Marcia B Goldberg · 1985 to 2026
$12.1M
Rapid fungal identification and antifungal susceptibility testing through quantitative, multiplexed RNA detectionR01AI153405 · NIAID · BROAD INSTITUTE, INC. · PI BHATTACHARYYA, ROBY PAUL · 2020 to 2024
$3.3M
NIAID NIH HHS R01 AI153405NIAID NIH HHS T32 AI007061
6 · The paper itself

Abstract

Antimicrobial resistance is a growing health threat, but standard methods for determining antibiotic susceptibility are slow and can delay optimal treatment, which is especially consequential in severe infections such as bacteremia. Novel approaches for rapid susceptibility profiling have emerged that characterize either bacterial response to antibiotics (phenotype) or detect specific resistance genes (genotype). GoPhAST-R is a novel assay, performed directly on positive blood cultures, that integrates rapid transcriptional response profiling with detection of key resistance gene transcripts, thereby providing simultaneous data on both phenotype and genotype. Here, we performed the first clinical pilot of GoPhAST-R on 42 positive blood cultures: 26 growing

Identifiers

PMID39040176
PMCPMC11261942

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.