ArticleThe international journal of occupational and environmental medicine2017
Sensitivity to Antibiotics of Bacteria Exposed to Gamma Radiation Emitted from Hot Soils of the High Background Radiation Areas of Ramsar, Northern Iran.
Article in The international journal of occupational and environmental medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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
10 citing papers in PubMed.
- Bacterial Adaptation to Radiofrequency Electromagnetic Fields Based on Experiences from Ionizing Radiation.Journal of biomedical physics & engineering · 2026Review
- The Pros and Cons of Using Earth's High Background Radiation Areas as an Analog for Mars Colonization: A Critical Analysis.Journal of biomedical physics & engineering · 2025Article
- A mechanistic simulation of induced DNA damage in a bacterial cell by X- and gamma rays: a parameter study.Physical and engineering sciences in medicine · 2024Article
- Should Parents Allow Their Children Use Smartphones and Tablets? The Issue of Screen Time for Recreational Activities.Journal of biomedical physics & engineering · 2023Article
- Biological Protection in Deep Space Missions.Journal of biomedical physics & engineering · 2021Review
- Immunity in Space: Prokaryote Adaptations and Immune Response in Microgravity.Life (Basel, Switzerland) · 2021Review
- Detection of tetracycline and streptomycin in beef tissues using Charm II, isolation of relevant resistant bacteria and control their resistance by gamma radiation.BMC microbiology · 2020Article
- Is Induction of Anomalies in Lymphocytes of the Residents of High Background Radiation Areas Associated with Increased Cancer Risk?Journal of biomedical physics & engineering · 2019Review
- Article
- Re: Presence of Multidrug Resistant Bacteria on Mobile Phones of Healthcare Workers Accelerates the Spread of Nosocomial Infections and Regarded as a Threat to Public Health in Bangladesh.Journal of microscopy and ultrastructureArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOver the past several years our laboratories have investigated different aspects of the challenging issue of the alterations in bacterial susceptibility to antibiotics induced by physical stresses.
objectiveTo explore the bacterial susceptibility to antibiotics in samples of
methodsStandard Kirby-Bauer test, which evaluates the size of the zone of inhibition as an indicator of the susceptibility of different bacteria to antibiotics, was used in this study.
resultsThe maximum alteration of the diameter of inhibition zone was found for
conclusionGamma rays were capable of making significant alterations in bacterial susceptibility to antibiotics. It can be hypothesized that high levels of natural background radiation can induce adaptive phenomena that help microorganisms better cope with lethal effects of antibiotics.
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.