ReviewGenome medicine2016
Microbiome mediation of infections in the cancer setting.
Review in Genome medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
51 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 citations in OpenAlex.
- Pooled it
- Gut Microbiome Composition Predicts Infection Risk During Chemotherapy in Children With Acute Lymphoblastic Leukemia.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018Trial
- Gram-negative gut colonization in children newly diagnosed with malignancy: microbiology, antimicrobial resistance pattern, and clinical implications.Gut pathogens · 2026Article
- Effects of surgery on cancer metastasis: biological mechanisms and perioperative implications.Frontiers in oncology · 2026Review
- Predictors of mortality and progression from colonization to Stenotrophomonas maltophilia bloodstream infection in hematologic disorders: a single-center retrospective study.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025Article
- Mediation CNN (Med-CNN) Model for High-Dimensional Mediation Data.International journal of molecular sciences · 2025Article
- The effects of vaginal infections on pregnancy outcomes: a retrospective cohort study in China.BMC pregnancy and childbirth · 2025Article
- Multimedia: multimodal mediation analysis of microbiome data.Microbiology spectrum · 2025Article
- Gut microbiome features and resistome elements associated with colonization and infection with antibiotic-resistance threats.Gut microbes reports · 2025Article
- Utilization of machine learning to predict antibiotic resistant event outcomes in acute myeloid leukemia patients undergoing induction chemotherapy.Frontiers in cellular and infection microbiology · 2025Article
- Exploring gut microbiota and spinal cord injury: pathogenesis, treatment strategies and prospects.Frontiers in immunology · 2025Review
- multimedia: Multimodal Mediation Analysis of Microbiome Data.bioRxiv : the preprint server for biology · 2024Article
- Article
- A microbial causal mediation analytic tool for health disparity and applications in body mass index.Microbiome · 2023Article
- Microbiota Influences on Hematopoiesis and Blood Cancers: New Horizons?Blood cancer discovery · 2023Review
- A microbial causal mediation analytic tool for health disparity and applications in body mass index.Research square · 2023Article
- Exploring the role of gut microbiota in advancing personalized medicine.Frontiers in microbiology · 2023Review
- Understanding the role of the gut microbiome in gastrointestinal cancer: A review.Frontiers in pharmacology · 2023Review
- Long-term use of broad-spectrum antibiotics affects Ly6CImmunologic research · 2022Article
- Clinical microbiology in detection and identification of emerging microbial pathogens: past, present and future.Emerging microbes & infections · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Infections encountered in the cancer setting may arise from intensive cancer treatments or may result from the cancer itself, leading to risk of infections through immune compromise, disruption of anatomic barriers, and exposure to nosocomial (hospital-acquired) pathogens. Consequently, cancer-related infections are unique and epidemiologically distinct from those in other patient populations and may be particularly challenging for clinicians to treat. There is increasing evidence that the microbiome is a crucial factor in the cancer patient's risk for infectious complications. Frequently encountered pathogens with observed ties to the microbiome include vancomycin-resistant Enterococcus, Enterobacteriaceae, and Clostridium difficile; these organisms can exist in the human body without disease under normal circumstances, but all can arise as infections when the microbiome is disrupted. In the cancer patient, such disruptions may result from interventions such as chemotherapy, broad-spectrum antibiotics, or anatomic alteration through surgery. In this review, we discuss evidence of the significant role of the microbiome in cancer-related infections; how a better understanding of the role of the microbiome can facilitate our understanding of these complications; and how this knowledge might be exploited to improve outcomes in cancer patients and reduce risk of infection.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.