Evidence mapPaperPMID 41728024Full record

ArticleJAC-antimicrobial resistance2026

Can a host-response bacterial-viral classifier safely guide antibiotic avoidance in COVID-19? A diagnostic accuracy study in hospitalized adults.

Dagfinn Lunde Markussen, Christina Skår Saghaug, Siri Tandberg Knoop, Christian Ritz, Elling Ulvestad, Synne Jenum, Harleen M S Grewal

Abstract read
In one paragraph

Article in JAC-antimicrobial resistance, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

7 authors.

Dagfinn Lunde MarkussenDepartment of Clinical Science, Bergen Integrated Diagnostic Stewardship Cluster, Faculty of Medicine, University of Bergen, Bergen 5020, Norway.ORCID https://orcid.org/0000-0003-3504-8859
Christina Skår SaghaugDepartment of Clinical Science, Bergen Integrated Diagnostic Stewardship Cluster, Faculty of Medicine, University of Bergen, Bergen 5020, Norway.
Siri Tandberg KnoopDepartment of Microbiology, Haukeland University Hospital, Bergen 5021, Norway.
Christian RitzDepartment of Clinical Science, Bergen Integrated Diagnostic Stewardship Cluster, Faculty of Medicine, University of Bergen, Bergen 5020, Norway.
Elling UlvestadDepartment of Clinical Science, Bergen Integrated Diagnostic Stewardship Cluster, Faculty of Medicine, University of Bergen, Bergen 5020, Norway.
Synne JenumDepartment of Clinical Science, Bergen Integrated Diagnostic Stewardship Cluster, Faculty of Medicine, University of Bergen, Bergen 5020, Norway.
Harleen M S GrewalDepartment of Clinical Science, Bergen Integrated Diagnostic Stewardship Cluster, Faculty of Medicine, University of Bergen, Bergen 5020, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objectives: The MeMed BV Methods: We included adults with PCR-confirmed SARS-CoV-2 infection from two prospective Norwegian cohorts (October 2020-April 2023). The reference standard for true viral infection was a composite safety outcome: 30-day survival, no readmission within 30 days, and no antibiotic exposure before, during, or after hospitalization. MeMed BV performance was assessed using sensitivity, specificity, predictive values, and area under the ROC curve (AUC). Results: Of 90 patients, 28 (31%) met the reference standard for safe antibiotic avoidance. Median MeMed BV scores were 38 (IQR 1-66) in the safely managed group versus 96 (IQR 78-99) in others ( Conclusions: In hospitalized adults with COVID-19, MeMed BV showed reasonable specificity but limited sensitivity for identifying patients who could safely avoid antibiotics, with performance considerably lower than that observed in pre-COVID studies. These findings highlight the need for context-specific validation of host-response diagnostics.

Identifiers

PMID41728024
PMCPMC12922441

What Socratic holds

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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 Socratic graph.