Evidence map›Paper›PMID 41389990›Full record

ArticleClinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases2026

Clinical adjudication approach for rapid diagnostics aiming to identify bacteria directly from blood.

Sarah B Doernberg, Lauren Komarow, Kerryl Greenwood-Quaintance, Nyssa Schwager, Donald Mau, David Jensen, Sara E Cosgrove, Scott Evans, Vance G Fowler, Robin Patel and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases, 2026. 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. Review
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

11 authors.

Sarah B DoernbergDivision of Infectious Diseases, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA. Electronic address: sarah.doernberg@ucsf.edu.
Lauren KomarowThe Biostatistics Center, Milken Institute School of Public Health, George Washington University, Rockville, MD, USA.
Kerryl Greenwood-QuaintanceDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Nyssa SchwagerDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA.
Donald MauDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA.
David JensenDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA.
Sara E CosgroveDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Scott EvansThe Biostatistics Center, Milken Institute School of Public Health, George Washington University, Rockville, MD, USA.
Vance G FowlerDepartment of Medicine, Duke University School of Medicine, Durham, NC, USA.
Robin PatelDivision of Clinical Microbiology, Department of Laboratory Medicine and Pathology and Division of Public Health, Infectious Diseases, and Occupational Medicine, Department of Medicine, Mayo Clinic, Rochester, MN, USA.
Antibacterial Resistance Leadership Group (ARLG)

Funding

Antibacterial Resistance Leadership Group (ARLG)UM1AI104681 · NIAID · DUKE UNIVERSITY · PI Vance G. Fowler, Henry F HENRY CHAMBERS · 2013 to 2026
$180.8M
NIAID NIH HHS UM1 AI104681
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Clinical adjudicationDiagnostic testingNovel diagnosticReference standardTest performance

Identifiers

PMID41389990
PMCPMC13537624

What OpenQuestion holds

Textmetadata
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.