Evidence map›Paper›PMID 30135230›Full record

ArticleJournal of clinical microbiology2018

Blood Culture Turnaround Time in U.S. Acute Care Hospitals and Implications for Laboratory Process Optimization.

Ying P Tabak, Latha Vankeepuram, Gang Ye, Kay Jeffers, Vikas Gupta, Patrick R Murray

Registry-linked trialAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06069206 (Effect of Direct-from-blood Bacterial Testing on Antibiotic Administration and Clinical Outcomes), which is not on this map. Cited by 95 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed, 1 pooled it
–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.

NCT06069206 nacompletednot on this mapstarted 2023, after this paper: background citation

Effect of Direct-from-blood Bacterial Testing on Antibiotic Administration and Clinical Outcomes: A Learning Healthcare Pragmatic Randomized Trial

TypeinterventionalSponsorVanderbilt University Medical CenterRan2023 to 2025Enrolled500ConditionsBloodstream Infection, Sepsis Bacterial, MRSA Bacteremia, VancomycinArmsT2Bacteria® Panel (direct-from-blood testing), Usual Care
3 · Its place in the literature

Who cites it

95 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Trial
  3. Trial
  4. Review
  5. Article
  6. Article
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  8. Article
  9. Effect of Direct-from-blood Bacterial Testing on Antibiotics Administration in Adults Presenting With Acute Infection: A Randomized Trial.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
  10. Article
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  18. Observational
  19. Article
  20. Optimal antibiotic use in the intensive care unit.Critical care (London, England) · 2025
    Review

35 more citing papers are in PubMed but not listed here.

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

6 authors.

Ying P TabakBecton, Dickenson and Co., Medical Affairs, Franklin Lakes, New Jersey, USA.
Latha VankeepuramBecton, Dickenson and Co., Medical Affairs, Franklin Lakes, New Jersey, USA.
Gang YeBecton, Dickenson and Co., Medical Affairs, Franklin Lakes, New Jersey, USA.
Kay JeffersBecton, Dickenson and Co., Technology Solution, San Diego, California, USA.
Vikas GuptaBecton, Dickenson and Co., Digital Health, Franklin Lakes, New Jersey, USA.
Patrick R MurrayBecton, Dickenson and Co., Life Sciences, Sparks, Maryland, USA Patrick.Murray@bd.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid identification of blood culture isolates and antimicrobial susceptibility test (AST) results play critical roles for the optimal treatment of patients with bloodstream infections. Whereas others have looked at the time to detection in automated culture systems, we examined the overall time from specimen collection to actionable test results. We examined four points of time, namely, blood specimen collection, Gram stain, organism identification (ID), and AST reports, from electronic data from 13 U.S. hospitals for the 11 most common, clinically significant organisms in septic patients. We compared the differences in turnaround times and the times from when specimens were collected and the results were reported in the 24-h spectrum. From January 2015 to June 2016, 165,593 blood specimens were collected, of which, 9.5% gave positive cultures. No matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) mass spectrometry was used during the study period. Across the 10 common bacterial isolates (

Indexed as

Automation, LaboratoryBacteremiaBacteriaBlood CultureHumansLaboratories, HospitalMicrobial Sensitivity TestsSpecimen HandlingStaining and LabelingTime FactorsUnited StatesWorkflowblood cultureclinical microbiologylaboratory automationlaboratory workflow

Identifiers

PMID30135230
PMCPMC6258864

What OpenQuestion holds

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Registered trials

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.