Evidence map›Paper›PMID 34272525›Full record

ReviewNature biomedical engineering2021

CRISPR-based diagnostics.

Michael M Kaminski, Omar O Abudayyeh, Jonathan S Gootenberg, Feng Zhang, James J Collins

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 479 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
479citing papers in PubMed, 2 pooled it
–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

479 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  9. Attomolar Detection of HIV-1 With Label-Free RCA-rCRISPR on Smartphone.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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419 more citing papers are in PubMed but not listed here.

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.

Michael M KaminskiBerlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, Berlin, Germany.
Omar O AbudayyehMcGovern Institute for Brain Research at MIT, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-7979-3220
Jonathan S GootenbergMcGovern Institute for Brain Research at MIT, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-2757-2175
Feng ZhangMcGovern Institute for Brain Research at MIT, Cambridge, MA, USA.
James J CollinsBroad Institute of MIT and Harvard, Cambridge, MA, USA. jimjc@mit.edu.ORCID http://orcid.org/0000-0002-5560-8246

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accurate and timely diagnosis of disease is a prerequisite for efficient therapeutic intervention and epidemiological surveillance. Diagnostics based on the detection of nucleic acids are among the most sensitive and specific, yet most such assays require costly equipment and trained personnel. Recent developments in diagnostic technologies, in particular those leveraging clustered regularly interspaced short palindromic repeats (CRISPR), aim to enable accurate testing at home, at the point of care and in the field. In this Review, we provide a rundown of the rapidly expanding toolbox for CRISPR-based diagnostics, in particular the various assays, preamplification strategies and readouts, and highlight their main applications in the sensing of a wide range of molecular targets relevant to human health.

Indexed as

Communicable DiseasesCRISPR-Cas SystemsGenetic Diseases, InbornHumansNucleic Acid Amplification TechniquesNucleic AcidsPoint-of-Care SystemsPolymorphism, Single NucleotideSequence Analysis, DNANucleic Acids

Identifiers

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.