Evidence map›Paper›PMID 37325804›Full record

ArticleEvolution, medicine, and public health2023

The evolution of antibiotic resistance in an incurable and ultimately fatal infection: A retrospective case study.

Robert J Woods, Camilo Barbosa, Laura Koepping, Juan A Raygoza, Michael Mwangi, Andrew F Read

Open access · goldAbstract read
In one paragraph

Article in Evolution, medicine, and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. [A Review of Archaeological Studies on Dento-maxillofacial Deformities].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026
    Review
  2. Article
  3. Review
  4. Review
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 at 4 institutions in 2 countries.

Robert J WoodsDivision of Infectious Diseases, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.ORCID https://orcid.org/0000-0002-0679-9998
Camilo BarbosaDivision of Infectious Diseases, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.ORCID https://orcid.org/0000-0003-0433-9311
Laura KoeppingDivision of Infectious Diseases, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Juan A RaygozaDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.
Michael MwangiMachine Learning Modeling Working Group, Synopsys, Mountain View, CA, USA.
Andrew F ReadDepartment of Biology, Center for Infectious Disease Dynamics, Pennsylvania State University, University Park, PA, USA.ORCID https://orcid.org/0000-0001-7604-7903
University of Michigan · USPennsylvania State University · USSynopsys (United States) · USUniversity of Toronto · CA

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 AI119182
6 · The paper itself

Abstract

Background and objectives: The processes by which pathogens evolve within a host dictate the efficacy of treatment strategies designed to slow antibiotic resistance evolution and influence population-wide resistance levels. The aim of this study is to describe the underlying genetic and phenotypic changes leading to antibiotic resistance within a patient who died as resistance evolved to available antibiotics. We assess whether robust patterns of collateral sensitivity and response to combinations existed that might have been leveraged to improve therapy. Methodology: We used whole-genome sequencing of nine isolates taken from this patient over 279 days of a chronic infection with Results: The entirety of the genetic change is consistent with Conclusions: Translating antibiotic resistance management strategies from theoretical and laboratory data to clinical situations, such as this, will require managing diverse population with unpredictable resistance trajectories.

Indexed as

antibioticEnterobactergeneticspatientresistancetrajectories

Identifiers

PMID37325804
PMCPMC10266578
OpenAlexW4376139977

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.