ArticleJournal of clinical medicine2020
Characterization of
Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- A longitudinal analysis of Clostridioides difficile virulence profiles across three geographic regions in Israel (2020-2022).Annals of clinical microbiology and antimicrobials · 2026Article
- In vitro susceptibility of clinical Clostridioides difficile isolates in Israel to metronidazole, vancomycin, fidaxomicin, ridinilazole and ibezapolstat.BMC gastroenterology · 2025Article
- Case report of clostridium difficile infection after rectal resection with ileostomy.World journal of surgical oncology · 2025Article
- Virulence factors, antibiotic susceptibility and sequence type distribution of hospital-associated Clostridioides difficile isolates in Israel, 2020-2022.Scientific reports · 2024Article
- Genomic and phenotypic studies amongMicrobiology spectrum · 2024Article
- Foodborne Clostridioides Species: Pathogenicity, Virulence and Biocontrol Options.Microorganisms · 2023Review
- Update on Commonly Used Molecular Typing Methods forMicroorganisms · 2023Review
- Characterization of community-acquiredFrontiers in microbiology · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background
methodsA severity score was calculated for 70 patients. Stool samples were tested for toxins presence using a special kit. Bacteria were isolated, identified by matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) and antibiotic susceptibility tests were performed for several antibiotics. Strains were classified by Multi-locus sequence typing (MLST), and changes in gut microbiome were tested.
resultsST04 (22.5%) and ST37 (12.7%) were the most frequent strains. Clade (phylogenetic lineage) 1 was the most (81.4%) prevalent. We found significant associations between ST and age (
conclusionsBy defining the characteristics of the different strains and clades, clinicians can choose medical interventions based on the predicted response or disease severity associated with each strain, enabling new advances in the field of personalized medicine.
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.