ArticleDiagnostics (Basel, Switzerland)2022
CRISPR-Cas Systems-Based Bacterial Detection: A Scoping Review.
Article in Diagnostics (Basel, Switzerland), 2022. 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, 21 citations in OpenAlex.
- Evolving Approaches to Bacterial Identification: A Review of Classical and Modern Techniques.International journal of molecular sciences · 2026Review
- Integrated RPA-CRISPR/Cas12a Technology for Rapid Detection ofDiagnostics (Basel, Switzerland) · 2026Article
- CRISPR-based tools in food safety and microbiology: applications for pathogen detection and control.Archives of microbiology · 2026Review
- The evolution of next-generation lateral flow assays for bacterial and fungal diagnostics.Mikrochimica acta · 2026Review
- Acute Invasive Fungal Rhino-Orbital Sinusitis: Current Concepts and Controversies.Clinical ophthalmology (Auckland, N.Z.) · 2026Review
- Phage amplification-coupled CRISPR/Cas12a system for selective detection of viableFrontiers in microbiology · 2026Article
- CRISPR: fundamental principles and implications for anaesthesia.British journal of anaesthesia · 2025Review
- Amplification-Free Electrochemiluminescent Biosensor for Ultrasensitive Detection ofCyborg and bionic systems (Washington, D.C.) · 2025Article
- The application of CRISPR-Cas system inHeliyon · 2024Article
- Exploiting the Specificity of CRISPR/Cas System for Nucleic Acids Amplification-Free Disease Diagnostics in the Point-of-Care.Chem & bio engineering · 2024Review
- Rapid detection of pathogenicFrontiers in microbiology · 2024Article
- CRISPR-Cas-based techniques for pathogen detection: Retrospect, recent advances, and future perspectives.Journal of advanced research · 2023Review
- CRISPR-Cas System: A Tool to Eliminate Drug-Resistant Gram-Negative Bacteria.Pharmaceuticals (Basel, Switzerland) · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 2 countries.
Funding
Abstract
Recently, CRISPR-Cas system-based assays for bacterial detection have been developed. The aim of this scoping review is to map existing evidence on the utilization of CRISPR-Cas systems in the development of bacterial detection assays. A literature search was conducted using three databases (PubMed, Scopus, and Cochrane Library) and manual searches through the references of identified full texts based on a PROSPERO-registered protocol (CRD42021289140). Studies on bacterial detection using CRISPR-Cas systems that were published before October 2021 were retrieved. The Critical Appraisal Skills Programme (CASP) qualitative checklist was used to assess the risk of bias for all the included studies. Of the 420 studies identified throughout the search, 46 studies that met the inclusion criteria were included in the final analysis. Bacteria from 17 genera were identified utilising CRISPR-Cas systems. Most of the bacteria came from genera such as
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.