Evidence map›Paper›PMID 41568951›Full record

ArticleJournal of clinical microbiology2026

Diagnostic value of blood culture growth patterns in distinguishing contaminants from pathogens.

Eli Ben-Chetrit, Yigal Helviz, Phillip D Levin

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 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. 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

3 authors.

Eli Ben-ChetritInfectious Diseases Unit, Shaare Zedek Medical Center, The Eisenberg R&D Authority, Hebrew University School of Medicine, Jerusalem, Israel.ORCID 0000-0001-5743-1387
Yigal HelvizDepartment of Intensive Care Medicine, Shaare Zedek Medical Center, The Eisenberg R&D Authority, Hebrew University School of Medicine, Jerusalem, Israel.
Phillip D LevinDepartment of Intensive Care Medicine, Shaare Zedek Medical Center, The Eisenberg R&D Authority, Hebrew University School of Medicine, Jerusalem, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood culture contamination is common, causing diagnostic uncertainty and unnecessary antibiotic use. Analyzing growth patterns within culture sets might offer diagnostic value. We retrospectively analyzed peripheral blood culture sets from 2019 and 2024. Growth pattern (one bottle [discordant] vs both bottles [concordant]) was analyzed according to clinical significance (contaminant vs true pathogen). Overall, 38,216 blood culture sets were analyzed, including 1,491 (3.9%) discordant and 1,938 (5.1%) concordant sets (remaining 34,787 [91.0%] sets were sterile). Discordant sets grew 1,060/1,491 (71.1%) contaminants and 431/1,491 (28.9%) true pathogens. Concordant sets grew 222/1,938 (11.4%) contaminants and 1,716/1,938 (88.5%) true pathogens (

Indexed as

BacteremiaBacteriaBlood CultureBacteriological TechniquesHumansRetrospective StudiesStaphylococcusStaphylococcus aureusconcordant setscontaminationdiscordant setstrue bacteremia

Identifiers

PMID41568951
PMCPMC12892935

What OpenQuestion holds

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LicenceCC BY
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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.