Evidence map›Paper›PMID 30362590›Full record

ReviewJournal of cellular biochemistry2019

Current progress in CRISPR-based diagnostic platforms.

Khushal Khambhati, Gargi Bhattacharjee, Vijai Singh

Abstract readReview
In one paragraph

Review in Journal of cellular biochemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. A Rapid Visual Detection Method forAnimals : an open access journal from MDPI · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Rapid Detection of blaCurrent microbiology · 2023
    Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. Functional Features and Current Applications of the RNA-Targeting Type VI CRISPR-Cas Systems.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Review
  19. Review
  20. CRISPR: A new paradigm of theranostics.Nanomedicine : nanotechnology, biology, and medicine · 2021
    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

3 authors.

Khushal KhambhatiDepartment of Microbiology, Synthetic Biology Laboratory, School of Biological Sciences and Biotechnology, Institute of Advanced Research, Gandhinagar, India.
Gargi BhattacharjeeDepartment of Microbiology, Synthetic Biology Laboratory, School of Biological Sciences and Biotechnology, Institute of Advanced Research, Gandhinagar, India.
Vijai SinghDepartment of Microbiology, Synthetic Biology Laboratory, School of Biological Sciences and Biotechnology, Institute of Advanced Research, Gandhinagar, India.ORCID 0000-0002-6394-4370

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The CRISPR-Cas system is a key technology for genome editing and regulation in a wide range of organisms and cell types. Recently, CRISPR-Cas-based diagnostic platform has shown idealistic properties for pathogen detection. Integrating the CRISPR-Cas platform along with lateral flow system allows rapid, sensitive, specific, cheap, and reliable diagnostic. It has the potential to be in frontline for not only pathogen detection during the epidemic outbreak, but also cancer, and genetic diseases.

Indexed as

Molecular Diagnostic TechniquesClustered Regularly Interspaced Short Palindromic RepeatsDNAHumansPolymerase Chain ReactionRNASignal Processing, Computer-AssistedDNARNAattomolarCas13aclustered regularly interspaced short palindromic repeats-based diagnosticepidemic diseasesguide-RNAmultiplex

Identifiers

PMID30362590
PMCPMC7166747

What OpenQuestion holds

Textmetadata
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.