Evidence map›Paper›PMID 40697883›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2025

The impact of an intervention to increase follow-up blood cultures for patients with

Jared Olson, Vincent Anella, Brandon J Webb, Andrew T Pavia, Emily A Thorell, Adam L Hersh, Dustin Waters

Abstract read
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2025. 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

7 authors.

Jared OlsonDivision of Infectious Diseases, Department of Pediatrics, University of Utah, Salt Lake City, UT, USA.ORCID https://orcid.org/0000-0002-3281-9614
Vincent AnellaDepartment of Pharmacy, Primary Children's Hospital, Salt Lake City, UT, USA.ORCID https://orcid.org/0009-0005-6230-1022
Brandon J WebbDivision of Infectious Diseases, Intermountain Medical Center, Murray, UT, USA.ORCID https://orcid.org/0000-0002-1799-3315
Andrew T PaviaDivision of Infectious Diseases, Department of Pediatrics, University of Utah, Salt Lake City, UT, USA.ORCID https://orcid.org/0000-0002-3066-580X
Emily A ThorellDivision of Infectious Diseases, Department of Pediatrics, University of Utah, Salt Lake City, UT, USA.
Adam L HershDivision of Infectious Diseases, Department of Pediatrics, University of Utah, Salt Lake City, UT, USA.
Dustin WatersDepartment of Pharmacy, McKay Dee Hospital, Ogden, UT, USA.ORCID https://orcid.org/0000-0003-4500-9810

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: We conducted a quasi-experimental implementation study in adult ambulatory patients with documented SABU. We excluded patients with confirmed SAB up to 14 days prior to index SABU culture and with blood cultures obtained on the day of SABU. The primary outcome was rate of FUBC (collected between 1 and 5 days of SABU) among all cases of SABU. Secondary outcomes included percentage of patients with early SAB (collected between 1 and 5 days of SABU). We used interrupted time series analysis to compare rates of FUBC pre vs postintervention. Results: A total of 2 540 patients were identified; 1 213 (48%) were male. By the end of the postintervention period, the rate of FUBC (20.6%) had increased by 6.3 percentage points ( Conclusion: The microbiology alert initiative increased FUBC in patients with SABU by 44%, but the overall rate of FUBC remained low. The intervention increased early SAB detection. Risk-targeted strategies are needed to optimize FUBC collection in patients with SABU.

Identifiers

PMID40697883
PMCPMC12281232

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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.