ReviewClujul medical (1957)2017
Gastric microbiota: tracing the culprit.
Review in Clujul medical (1957), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 24 citations in OpenAlex.
- Gut microbiota therapy in gastrointestinal diseases.Frontiers in cell and developmental biology · 2025Review
- Dysbiosis by Eradication ofMicroorganisms · 2023Article
- Integrating microbiome and metabolome revealed microbe-metabolism interactions in the stomach of patients with different severity of peptic ulcer disease.Frontiers in immunology · 2023Article
- Interrelation: gastric microbiota - acid-dependent diseases, and more….Medicine and pharmacy reports · 2021Article
- Role ofPathogens (Basel, Switzerland) · 2021Review
- Microbiome Signatures in a Fast- and Slow-Progressing Gastric Cancer Murine Model and Their Contribution to Gastric Carcinogenesis.Microorganisms · 2021Article
- Function of Non-coding RNA inFrontiers in molecular biosciences · 2021Review
- The Cough Reflex: The Janus of Respiratory Medicine.Frontiers in physiology · 2021Review
- Microbial dysbiosis and polyamine metabolism as predictive markers for early detection of pancreatic cancer.Carcinogenesis · 2020Article
- Flavodoxins as Novel Therapeutic Targets againstInternational journal of molecular sciences · 2020Review
- High-Fat Diet Induces Dysbiosis of Gastric Microbiota Prior to Gut Microbiota in Association With Metabolic Disorders in Mice.Frontiers in microbiology · 2018Article
- Aspects of Gut Microbiota and Immune System Interactions in Infectious Diseases, Immunopathology, and Cancer.Frontiers in immunology · 2018Review
- Prognostic Role of Intragastric Cytopathology and Microbiota in Surgical Patients with Stomach Cancer.Journal of cytologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The gastric environment has been long time considered bacteria-free, but the discovery of Helicobacter pylori (H. pylori) in 1982 superseded this conception. Over the last decades new diagnostic methods have been developed, starting with culture-dependent and advancing to culture-independent ones. These modern techniques provide new insight into the composition and influence of this ecosystem on the entire gastrointestinal tract. H. pylori is no longer considered the only microorganism in the stomach, other non-H. pylori microbial species may populate the same environment and exercise their role. Current knowledge suggests possible links of these bacteria with gastroduodenal diseases, such as peptic ulcer and gastric cancer but most of them need further scientific evidence. This review summarizes current information on these complex interrelations between gastric microbial communities and host in health and disease.
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.