Evidence map›Paper›PMID 32983536›Full record

ArticleEvolution, medicine, and public health2020

Why is preventing antibiotic resistance so hard? Analysis of failed resistance management.

Shiwei Zhou, Camilo Barbosa, Robert J Woods

Abstract readCase Reports
In one paragraph

Article in Evolution, medicine, and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Shiwei ZhouDivision of Infectious Diseases, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109-5680, USA.
Camilo BarbosaDivision of Infectious Diseases, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109-5680, USA.ORCID 0000-0003-0433-9311
Robert J WoodsDivision of Infectious Diseases, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109-5680, USA.ORCID 0000-0002-0679-9998

Funding

Population Dynamics of Rotavirus: A Combined Theoretical, Bioinformatic and Laboratory Based ApproachK08AI119182 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WOODS, ROBERT J · 2016 to 2020
$960k
NIAID NIH HHS K08 AI119182NIAID NIH HHS L30 AI113834
6 · The paper itself

Abstract

We describe the case of a patient with pancreatitis followed by intra-abdominal infection in which source control was not achieved. Antimicrobial therapy led to the emergence of resistance in multiple organisms through multiple population dynamics processes. While the initial insult was not due to infection, subsequent infections with resistant organisms contributed to a poor outcome for the patient. Though resistance evolution was a known risk, it was difficult to predict the next organism that would arise in the setting of antibiotic pressure and its resistance profile. This case illustrates the clinical challenge of antibiotic resistance that current approaches cannot readily prevent. LAY SUMMARY Why is antibiotic resistance management so complex? Distinct evolutionary processes unfold when antibiotic treatment is initiated that lead, separately and together, to the undesired outcome of antibiotic resistance. This clinical case exemplifies some of those processes and highlights the dire need for evolutionary risk assessments to be incorporated into clinical decision making.

Indexed as

antibiotic resistanceantibiotic stewardshipclinical decision makingtranslational evolutionary medicine

Identifiers

PMID32983536
PMCPMC7502268

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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.