Evidence map›Paper›PMID 38076202›Full record

ReviewHeliyon2023

Recent advances and challenges of the use of the CRISPR/Cas system as a non-nucleic acid molecular diagnostic.

Jian Zhou, Xue-Mei Ren, Xin Wang, Zhuo Li, Cory J Xian

Abstract readReview
In one paragraph

Review in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. A review on the mechanism and potential diagnostic application of CRISPR/Cas13a system.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Review
  3. Review
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jian ZhouDepartment of Laboratory Medicine, The First Affiliated Hospital of Xi'an Medical University, Xi'an, 710077, China.
Xue-Mei RenDepartment of Laboratory Medicine, The First Affiliated Hospital of Xi'an Medical University, Xi'an, 710077, China.
Xin WangDepartment of Laboratory Medicine, The First Affiliated Hospital of Xi'an Medical University, Xi'an, 710077, China.
Zhuo LiDepartment of Laboratory Medicine, The First Affiliated Hospital of Xi'an Medical University, Xi'an, 710077, China.
Cory J XianUniSA Clinical & Health Science, University of South Australia, Adelaide, SA 5001, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The clustered regularly interspaced short palindromic DNA sequence repeats (CRISPR) and CRISPR-associated (Cas) (CRISPR/Cas) systems are currently applied not only as a gene editing tool but also as a novel molecular diagnostic technique. The CRISPR/Cas systems have emerged as an efficient molecular diagnostic system that can detect nucleic acids, proteins and small molecule compounds, by converting a non-nucleic acid into a nucleic acid signal of Cas-identifiable and keeping inherent properties of high sensitivity and specificity. While its multiple advantages for nucleic acid detection have been widely published in excellent reviews, there have been no systematic analyses and reviews on the principles and characteristics of CRISPR/Cas-based diagnostic systems for non-nucleic acids. The present work reviewed the basic process, principles, characteristics, strategies, recent advances, and challenges of CRISPR/Cas-based molecular diagnostic methods for detecting non-nucleic acids, which may provide a basis or some references for future development and application as molecular diagnostic tools.

Indexed as

CRISPR/CasMolecular diagnosisNon-nucleic acid

Identifiers

PMID38076202
PMCPMC10703615

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.