Evidence map›Paper›PMID 38222352›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2023

Identifying the Optimal Look-back Period for Prior Antimicrobial Resistance Clinical Decision Support.

John J Hanna, Abdi D Wakene, Lauren N Cooper, Marlon I Diaz, Catherine Chen, Christoph U Lehmann, Richard J Medford

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 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. Socioeconomic Disparities and the Prevalence of Antimicrobial Resistance.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    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

7 authors.

John J HannaClinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, Texas.
Abdi D WakeneClinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, Texas.
Lauren N CooperClinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, Texas.
Marlon I DiazClinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, Texas.
Catherine ChenDivision of Pulmonary and Critical Care Medicine, UT Southwestern Medical Center, Dallas, TX.
Christoph U LehmannClinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, Texas.
Richard J MedfordClinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, Texas.

Funding

UT Southwestern Center for Translational MedicineUL1TR003163 · NCATS · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2021 to 2025
$39.3M
NCATS NIH HHS UL1 TR003163
6 · The paper itself

Abstract

backgroundLack of consensus on the appropriate look-back period for multi-drug resistance (MDR) complicates antimicrobial clinical decision support. We compared the predictive performance of different MDR look-back periods for five common MDR mechanisms (MRSA, VRE, ESBL, AmpC, CRE).

methodsWe mapped microbiological cultures to MDR mechanisms and labeled them at different look-back periods. We compared predictive performance for each look-back period-MDR combination using precision, recall, F1 scores, and odds ratios.

resultsLonger look-back periods resulted in lower odds ratios, lower precisions, higher recalls, and lower delta changes in precision and recall compared to shorter periods. We observed higher precision with more information available to clinicians.

conclusionA previously positive MDR culture may have significant enough precision depending on the mechanism of resistance and varying information available. One year is a clinically relevant and statistically sound look-back period for empiric antimicrobial decision-making at varying points of care for the studied population.

Indexed as

Anti-Bacterial AgentsDecision Support Systems, ClinicalDrug Resistance, BacterialHumansAnti-Bacterial Agents

Identifiers

PMID38222352
PMCPMC10785855

What OpenQuestion holds

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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.