Evidence map›Paper›PMID 41909836›Full record

ArticleFrontiers in cellular and infection microbiology2026

Multifactorial impacts of blood culture process optimization on clinical outcomes and healthcare economics in bloodstream infection management.

Lipeng Wang, Fengzhen Yang, Chunling Zhou, Xiaochen Yang, Jincheng Rong, Xiaohui Chi, Rui Guo, Na Li, Li Sheng, Lihua Jiang and 2 more

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2026. 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

12 authors.

Lipeng Wang *Department of Laboratory Medicine, Yantai Yuhuangding Hospital, Yantai, Shandong, China.
Fengzhen Yang *Department of Laboratory Medicine, Yantai Yuhuangding Hospital, Yantai, Shandong, China.
Chunling Zhou *The Second Clinical Medical College, Binzhou Medical University, Yantai, Shandong, China.
Xiaochen YangDepartment of Laboratory Medicine, Yantai Yuhuangding Hospital, Yantai, Shandong, China.
Jincheng RongDepartment of Laboratory Medicine, Yantai Yuhuangding Hospital, Yantai, Shandong, China.
Xiaohui ChiDepartment of Laboratory Medicine, Yantai Yuhuangding Hospital, Yantai, Shandong, China.
Rui GuoDepartment of Laboratory Medicine, Yantai Yuhuangding Hospital, Yantai, Shandong, China.
Na LiDepartment of Laboratory Medicine, Yantai Yuhuangding Hospital, Yantai, Shandong, China.
Li ShengDepartment of Laboratory Medicine, Yantai Yuhuangding Hospital, Yantai, Shandong, China.
Lihua JiangDepartment of Laboratory Medicine, Yantai Yuhuangding Hospital, Yantai, Shandong, China.
Qi ZhaoDepartment of Laboratory Medicine, Yantai Yuhuangding Hospital, Yantai, Shandong, China.
Maoli YiDepartment of Laboratory Medicine, Yantai Yuhuangding Hospital, Yantai, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the clinical and health economic impacts of individual workflow components. The effects of phased process optimizations were quantified using empirical data. Methods: From August 2023 to October 2024, the outcomes before and after workflow optimization were compared. The control group comprised patients processed under conventional protocols, while the experimental group included those managed with optimized workflows. Results: Phase I revealed significant temporal reductions through MALDI-TOF enhanced biofilm identification. The Gram-stain reporting time decreased from 33.3 h to 25.7 h ( Conclusion: Quantitative analysis of these optimizations elucidated their differential impacts on blood culture workflows and prognostic determinants. These findings advocate for laboratory innovation as a driver of antimicrobial stewardship and precision medicine for management of microbial bloodstream infections.

Indexed as

BacteremiaBlood CultureSepsisAnti-Bacterial AgentsBacteriaBiofilmsHealth Care CostsHumansWorkflowAnti-Bacterial Agentsblood culturebloodstream infectionsclinical outcomehealthcare economicsworkflow optimization

Identifiers

PMID41909836
PMCPMC13021603

What OpenQuestion holds

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LicenceCC BY
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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.