Evidence map›Paper›PMID 38915320›Full record

ArticleInfection and drug resistance2024

Cas12a/Guide RNA-Based Platform for Rapidly and Accurately Detecting

Keke Li, Yaozhou Wu, Meng Liu, Junwen Yan, Lianhua Wei

Abstract read
In one paragraph

Article in Infection and drug resistance, 2024. 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. Advances in CRISPR-Cas for Diagnosis and Treatment ofPathogens (Basel, Switzerland) · 2026
    Review
  2. Molecular Insights into Carbapenem Resistance inInternational journal of molecular sciences · 2026
    Review
  3. CRISPR/Cas diagnostics forFrontiers in bioengineering and biotechnology · 2026
    Review
  4. Review
  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.

Keke Li *Department of Clinical Laboratory, Gansu Provincial Hospital, Lanzhou, 730000, People's Republic of China.
Yaozhou Wu *Department of Clinical Laboratory, Gansu Provincial Hospital, Lanzhou, 730000, People's Republic of China.
Meng LiuDepartment of Clinical Laboratory, Gansu Provincial Hospital, Lanzhou, 730000, People's Republic of China.
Junwen YanDepartment of Clinical Laboratory, Gansu Provincial Hospital, Lanzhou, 730000, People's Republic of China.
Lianhua WeiDepartment of Clinical Laboratory, Gansu Provincial Hospital, Lanzhou, 730000, People's Republic of China.ORCID 0009-0008-9984-1382

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Accurate detection and identification of pathogens and their associated resistance mechanisms are essential prerequisites for implementing precision medicine in the management of Carbapenem-resistant Methods: The initial phase of our research methodology involved developing a CRISPR/Cas12a detection framework, which was achieved by designing highly specific single-guide RNAs (sgRNAs) targeting the Results: Following a comparative analysis of the sensitivity and specificity of the three methods, we identified the RPA-Cas12a approach as the optimal detection technique. Our findings demonstrated that the limit of detection (LoD) of the RPA-Cas12a platform was 1 aM (~1 copy/µL) for plasmid DNA and 5 × 10³ fg/µL for genomic DNA. Furthermore, both the sensitivity and specificity of the platform achieved 100% upon validation with 80 clinical isolates. Conclusion: These findings suggest that the developed RPA-Cas12a platform represents a promising tool for the cost-effective, convenient, and accurate detection of the

Indexed as

CRISPR-Cas12aisothermal amplificationKlebsiella pneumoniae carbapenemaselateral flow stripsloop-mediated isothermal amplificationpolymerase chain reactionrecombinase polymerase amplification

Identifiers

PMID38915320
PMCPMC11194173

What OpenQuestion holds

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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.