Evidence map›Paper›PMID 40826153›Full record

ArticleScientific reports2025

Evaluation of automated streaking patterns in urine culture for clinical workflow optimization.

Yasuhide Kawamoto, Norihito Kaku, Norihiko Akamatsu, Fujiko Mitsumoto-Kaseida, Takahiro Takazono, Kosuke Kosai, Hiroo Hasegawa, Koichi Izumikawa, Hiroshi Mukae, Katsunori Yanagihara

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

10 authors.

Yasuhide Kawamoto *Department of Laboratory Medicine, Nagasaki University Hospital, Nagasaki, Japan.
Norihito Kaku *Department of Laboratory Medicine, Nagasaki University Hospital, Nagasaki, Japan. kaku-n@nagasaki-u.ac.jp.
Norihiko AkamatsuDepartment of Laboratory Medicine, Nagasaki University Hospital, Nagasaki, Japan.
Fujiko Mitsumoto-KaseidaDepartment of Laboratory Medicine, Nagasaki University Hospital, Nagasaki, Japan.
Takahiro TakazonoDepartment of Respiratory Medicine, Nagasaki University Hospital, Nagasaki, Japan.
Kosuke KosaiDepartment of Laboratory Medicine, Nagasaki University Hospital, Nagasaki, Japan.
Hiroo HasegawaDepartment of Laboratory Medicine, Nagasaki University Hospital, Nagasaki, Japan.
Koichi IzumikawaDepartment of Infectious Diseases, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Hiroshi MukaeDepartment of Respiratory Medicine, Nagasaki University Hospital, Nagasaki, Japan.
Katsunori YanagiharaDepartment of Laboratory Medicine, Nagasaki University Hospital, Nagasaki, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Automated streaking systems improve the standardization of microbiological workflows; however, the optimal streaking pattern for single-colony isolation remains uncertain. Seven preinstalled streaking patterns were systematically evaluated using the Copan WASP system to identify the most effective pattern for urine culture. We assessed seven pre-installed streaking patterns using five standard bacterial strains at varying bacterial loads from 10² to10⁷ CFU/mL. The top three patterns were further tested on clinical urine samples collected over three months. Single-colony isolation efficiencies were compared across different bacterial loads and polymicrobial samples. Among standard strains, Single Streak Type 6 (SST6) exhibited the highest single-colony isolation efficiency, followed by Four Quadrants Streak Type 5 and Five Quadrants Streak Type 1. SST6 consistently performed the best under moderate bacterial loads (10-10 CFU/mL). However, in high bacterial load samples (≥ 10⁷ CFU/mL), Four Quadrants Streak Type 5 outperformed SST6 (p = 0.003). Additionally, SST6 failed to isolate single colonies of the five species in the polymicrobial samples. Five Quadrants Streak Type 1 showed the lowest coefficient of variation, suggesting greater consistency across different bacterial loads. This study highlighted the critical role of streaking pattern selection in automated streaking systems. While the performance varied depending on the bacterial load and sample complexity, certain patterns demonstrated superior single-colony isolation and consistency. Optimizing streaking patterns is essential for improving reproducibility, enhancing diagnostic accuracy, and standardizing automated microbiological workflows.

Indexed as

BacteriaBacteriological TechniquesUrinalysisUrinary Tract InfectionsUrineBacterial LoadHumansWorkflowAutomationColony countMicrobiological techniquesSpecimen handlingUrine

Identifiers

PMID40826153
PMCPMC12361425

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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.