ArticleJournal of clinical microbiology2017
Strategies for Optimizing the Diagnostic Predictive Value of Clostridium difficile Molecular Diagnostics.
Article in Journal of clinical microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed, 21 citations in OpenAlex.
- Strategies to preventInfection control and hospital epidemiology · 2023Article
- Association Between Clostridium innocuum and Antibiotic-Associated Diarrhea in Adults and Children: A Cross-sectional Study and Comparative Genomics Analysis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023Article
- Stool Toxin Concentration Does Not Distinguish Clostridioides difficile Infection from Colonization in Children Less Than 3 Years of Age.Journal of the Pediatric Infectious Diseases Society · 2022Article
- Identification of Clostridium innocuum hypothetical protein that is cross-reactive with C. difficile anti-toxin antibodies.Anaerobe · 2022Article
- Fidaxomicin for the treatment ofFuture microbiology · 2020Article
- The Role of Diagnostic Stewardship inCurrent infectious disease reports · 2020Article
- An Infectious Diseases Perspective on Fecal Microbiota Transplantation for Clostridioides difficile Infection in Children.Journal of the Pediatric Infectious Diseases Society · 2019Review
- Healthcare provider diagnostic testing practices for identification of Clostridioides (Clostridium) difficile in children: an Emerging Infections Network survey.Infection control and hospital epidemiology · 2019Article
- Rapid molecular detection of macrolide resistance.BMC infectious diseases · 2019Article
- Fecal Microbiota Transplantation for Recurrent Clostridium difficile Infection and Other Conditions in Children: A Joint Position Paper From the North American Society for Pediatric Gastroenterology, Hepatology, and Nutrition and the European Society for Pediatric Gastroenterology, Hepatology, and Nutrition.Journal of pediatric gastroenterology and nutrition · 2019Article
- A low-cost paper-based synthetic biology platform for analyzing gut microbiota and host biomarkers.Nature communications · 2018Article
- Clostridium difficile Whole Genome Sequencing Reveals Limited Transmission Among Symptomatic Children: A Single-Center Analysis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018Article
- Whole-genome analysis reveals the evolution and transmission of an MDR DH/NAP11/106 Clostridium difficile clone in a paediatric hospital.The Journal of antimicrobial chemotherapy · 2018Article
- Advances in the diagnosis and treatment of Clostridium difficile infections.Emerging microbes & infections · 2018Review
- Reducing rates ofAntimicrobial resistance and infection control · 2018Article
Corrections and comments
- Comment on
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Because nucleic acid amplification tests (NAATs) do not distinguish
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.