Evidence map›Paper›PMID 40896247›Full record

ArticleOpen forum infectious diseases2025

Establishing the Optimal Ceftriaxone MIC for Predicting ESBL Production in Bloodstream Infections.

Dariusz A Hareza, Yehudit Bergman, Emily Jacobs, Amy J Mathers, Alan R Hauser, Sara E Cosgrove, Patricia J Simner, Pranita D Tamma

Abstract readLetter
PubMed Full text at PMC Publisher
In one paragraph

Article in Open forum infectious diseases, 2025. 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

8 authors.

Dariusz A HarezaDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Yehudit BergmanDepartment of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-4262-7173
Emily JacobsDepartment of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Amy J MathersDepartment of Medicine, University of Virginia Health System, Charlottesville, Virginia, USA.
Alan R HauserDepartment of Microbiology-Immunology, Northwestern University, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0003-4596-7939
Sara E CosgroveDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Patricia J SimnerDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Pranita D TammaDepartment of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-4143-6324

Funding

Antibacterial Resistance Leadership Group (ARLG)UM1AI104681 · NIAID · DUKE UNIVERSITY · PI Vance G. Fowler, Henry F HENRY CHAMBERS · 2013 to 2026
$180.8M
RESEARCH TRAINING IN MICROBIAL DISEASEST32AI007291 · NIAID · JOHNS HOPKINS UNIVERSITY · PI JOEL N BLANKSON, Sara Elizabeth Cosgrove · 1986 to 2026
$9.1M
Identifying Optimal Antibiotic Treatment for Non-CTX-M-Producing ESBL Bloodstream InfectionsR21AI173475 · NIAID · JOHNS HOPKINS UNIVERSITY · PI COSGROVE, SARA ELIZABETH, TAMMA, PRANITA · 2024 to 2025
$450k
Advancing Mentorship at the Johns Hopkins Integrated Center for Combating Antimicrobial Resistant BacteriaK24AI185302 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Pranita Tamma · 2025 to 2026
$416k
NCEZID CDC HHS U54 CK000617NIAID NIH HHS K24 AI185302NIAID NIH HHS R21 AI173475NIAID NIH HHS T32 AI007291NIAID NIH HHS UM1 AI104681
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID40896247
PMCPMC12396930

What OpenQuestion holds

Textmetadata
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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.