Evidence map›Paper›PMID 40867965›Full record

ArticleAntibiotics (Basel, Switzerland)2025

Characterization of Antibiotic Administration Factors Associated with Microbiome Disruption and Subsequent Antibiotic-Resistant Infection and Colonization Events in Acute Myeloid Leukemia Patients Receiving Chemotherapy.

Samantha Franklin, Corina Ramont, Maliha Batool, Stephanie McMahon, Pranoti Sahasrabhojane, John C Blazier, Dimitrios P Kontoyiannis, Yang Ni, Jessica Galloway-Peña

Abstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Samantha FranklinInterdisciplinary Graduate Program in Genetics and Genomics, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0003-2503-6838
Corina RamontDepartment of Statistics, Texas A&M University, College Station, TX 77843, USA.
Maliha BatoolDepartment of Veterinary Pathobiology, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX 77843, USA.
Stephanie McMahonInterdisciplinary Graduate Program in Genetics and Genomics, Texas A&M University, College Station, TX 77843, USA.
Pranoti SahasrabhojaneDepartment of Infectious Disease, Infection Control and Employee Health, The University of Texas MD, Anderson Cancer Center, Houston, TX 77030, USA.
John C BlazierTexas A&M Institute for Genome Sciences & Society, Texas A&M University, College Station, TX 77843, USA.
Dimitrios P KontoyiannisDepartment of Infectious Disease, Infection Control and Employee Health, The University of Texas MD, Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0002-8051-2940
Yang NiDepartment of Statistics, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0003-0636-2363
Jessica Galloway-PeñaInterdisciplinary Graduate Program in Genetics and Genomics, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0003-1081-254X

Funding

Identifying Risk Factors for Antibiotic Resistance via Integration of Epidemiology and MetagenomicsK01AI143881 · NIAID · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI GALLOWAY-PENA, JESSICA RHEA · 2019 to 2023
$545k
NIAID NIH HHS K01 AI143881NIH HHS 1K01AI143881-01A1
6 · The paper itself

Abstract

backgroundBroad-spectrum antibiotics are often used for suspected infections in patients with hematologic malignancies due to the risk of severe infections. Although antibiotic use can lead to antimicrobial resistance and microbiome dysbiosis, the effects of antibiotics on the microbiome and resistome in patients with acute myeloid leukemia (AML) undergoing remission induction chemotherapy (RIC) are not well understood.

methodsVarious statistical models were utilized to examine the effects of antibiotic administration on the microbiome and resistome over time, as well as differences in AR-infection (ARI) and colonization (ARC) by important CDC-threats in 119 AML patients.

resultsA greater number of unique antibiotic classes administered correlated with a loss of unique antibiotic resistance genes (ARGs) (R = -0.39,

conclusionsThe number of antibiotic administrations and the types of antibiotics used can influence the risk of antibiotic resistance gene (ARG) expansion and ARC events in AML patients undergoing RIC. While certain antibiotics may reduce microbial diversity, they are not always linked to an increase in ARGs or ARC events.

Indexed as

antibiotic resistancecolonizationinfectionleukemiamicrobiomeresistome

Identifiers

PMID40867965
PMCPMC12382674

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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.