Evidence map›Paper›PMID 30806903›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2019

Reducing the time between inoculation and first-read of urine cultures using total lab automation significantly reduces turn-around-time of positive culture results with minimal loss of first-read sensitivity.

Adam L Bailey, Carey-Ann D Burnham

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Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

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0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Deep Learning-Based Rapid Identification ofRisk management and healthcare policy · 2026
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  3. Review
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  10. Performances of automated digital imaging of Gram-stained slides with on-screen reading against manual microscopy.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2021
    Article
  11. Article
  12. Review
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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

2 authors.

Adam L BaileyDepartment of Pathology and Immunology, Washington University School of Medicine, 660 S Euclid Ave, Campus Box 8118, St. Louis, MO, 63130, USA.
Carey-Ann D BurnhamDepartment of Pathology and Immunology, Washington University School of Medicine, 660 S Euclid Ave, Campus Box 8118, St. Louis, MO, 63130, USA. cburnham@wustl.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to realize the full potential of total laboratory automation (TLA) in the clinical microbiology laboratory, workflows must be optimized to match each laboratory's capabilities, patient population, and staffing model. Using TLA-based digital photography to monitor urine cultures, we sought to improve culture result turn-around-time (TAT) by changing the time at which a culture is first photographed and thus available for analysis/work-up (Pre1) from 18 h (16,391 cultures) to 16 h (53,113 cultures) (with a total of 24-h culture incubation in both time periods); in both time periods, cultures were set up 24/7, and culture work-up occurred during the day shift only. With this change, we observed a significant decrease in time-to-final-result TAT for positive cultures (18 h-Pre1 median: 71.6 h; 16 h-Pre1 median: 61.0 h). This effect was most pronounced for Gram-negative organisms, with a median reduction in time-to-final-result for Escherichia coli cultures (51.8% of positive urine cultures) of 14.2 h (18 h-Pre1 median: 77.3 h; 16 h-Pre1 median: 63.1 h). This reduction in TAT was accompanied by a decrease in sensitivity at the Pre1 time point (18 h-Pre1 91.01%; 16 h-Pre1 88.06%), which we also found to vary by species: there was a reduction in sensitivity at the first culture reading of 1 to 2% for cultures with Gram-negative microorganisms, but for some Gram-positive microorganisms (e.g., Aerococcus urinae and non-aureus Staphylococcus species), there was a reduction in sensitivity at the Pre1 time-point of 3 to 7%. These results can guide workflow decisions for laboratories seeking to implement and/or optimize TLA systems, demonstrating a tradeoff between TAT and the sensitivity of preliminary urine culture results.

Indexed as

Automation, LaboratoryWorkflowGram-Negative BacteriaGram-Positive BacteriaHumansSensitivity and SpecificitySpecies SpecificityTime FactorsUrineAutomationEscherichia coliTotal laboratory automationUrine

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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.