Evidence map›Paper›PMID 37901124›Full record

ArticleOpen forum infectious diseases2023

Crossroads of Antimicrobial and Diagnostic Stewardship: Assessing Risks to Develop Clinical Decision Support to Combat Multidrug-Resistant

Iris Zou, Daniel Abate, Michelle Newman, Emily L Heil, Surbhi Leekha, Kimberly C Claeys

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Iris ZouDepartment of Nursing, University of Maryland Medical Center, Baltimore, Maryland, USA.
Daniel AbateDepartment of Pharmacy, Baltimore Washington Medical Center, Baltimore, Maryland, USA.
Michelle NewmanDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Emily L HeilDepartment of Practice and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, Maryland, USA.
Surbhi LeekhaDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-4565-6439
Kimberly C ClaeysDepartment of Practice and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0001-6895-604X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Early detection of multidrug-resistant Methods: This was a mixed-methods study. We conducted a split-sample cohort study of adult critical care patients with Results: The 2 previous risk prediction tools demonstrated similar accuracy in the derivation cohort (c-statistic of 0.76 [95% confidence interval {CI}, .69-.83] and 0.73 [95% CI, .66-.8]). A simplified tool based on 4 variables demonstrated reasonable accuracy (c-statistic of 0.71 [95% CI, .57-.85]) without significant overprescribing in the validation cohort. The risk factors were prior MDRP infection, ≥4 antibiotics prior to culture, infection >3 days after admission, and dialysis. Fourteen clinicians completed the survey. An alert providing context regarding individual patient risk factors for MDRP was preferred. Conclusions: These results can be used to develop a local EMR-integrated tool to improve timeliness of effective therapy in those at risk of MDRP infections.

Indexed as

antibiotic resistanceantimicrobial stewardshipdiagnostic stewardshipPseudomonas aeruginosa

Identifiers

PMID37901124
PMCPMC10603593

What OpenQuestion holds

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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.