Evidence map›Paper›PMID 38051070›Full record

ReviewJournal of clinical microbiology2024

Laboratory approaches to determining blood culture contamination rates: an ASM Laboratory Practices Subcommittee report.

Elizabeth L Palavecino, Victoria L Campodónico, Rosemary C She

Open access · greenAbstract readReview
In one paragraph

Review in Journal of clinical microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
6.9field-weighted citation impact, top 2% of its field
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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Clinical implications of a singleJournal of clinical microbiology · 2026
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  17. Open forum infectious diseases · 2025
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  20. Observational
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 at 3 institutions in 1 country.

Elizabeth L PalavecinoDepartment of Pathology, Wake Forest University School of Medicine , Winston-Salem, North Carolina, USA.ORCID 0000-0002-4525-6064
Victoria L CampodónicoDepartment of Pathology, Division of Medical Microbiology, Johns Hopkins University School of Medicine , Baltimore, Maryland, USA.ORCID 0009-0006-7840-1199
Rosemary C SheDepartment of Pathology, Keck School of Medicine of the University of Southern California , Los Angeles, California, USA.
Johns Hopkins University · USUniversity of Southern California · USWake Forest University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood culture contamination (BCC) is the presence of specific commensal and environmental organisms cultivated from a single blood culture set out of a blood culture series and that do not represent true bacteremia. BCC can impact quality of care and lead to negative outcomes, unnecessary antibiotic exposure, prolonged hospital stays, and substantial costs. As part of the laboratory's quality management plan, microbiology laboratory personnel are tasked with monitoring BCC rates, preparing BCC rate reports, and providing feedback to the appropriate committees within their healthcare system. The BCC rate is calculated by the laboratory using pre-set criteria. However, pre-set criteria are not universally defined and depend on the individual institution's patient population and practices. This mini-review provides practical recommendations on elaborating BCC rate reports, the parameters to define for the pre-set criteria, how to collect and interpret the data, and additional analysis to include in a BCC report.

Indexed as

BacteremiaBlood CultureCosts and Cost AnalysisHumansLaboratoriesLength of Stayblood culturecontaminationratesreport

Identifiers

PMID38051070
PMCPMC10865823
OpenAlexW4389336563

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.