Evidence map›Paper›PMID 35341958›Full record

SynthesisMicrobial pathogenesis2022

Accuracy of clustered regularly interspaced short palindromic repeats (CRISPR) to diagnose COVID-19, a meta-analysis.

Song Wang, Jiayi Hu, Chuanying Sui, Guangliang He, Zihan Qu, Xiaofei Chen, Yashan Wang, Dingjie Guo, Xin Liu

Abstract readMeta-Analysis
In one paragraph

Synthesis in Microbial pathogenesis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Pooled it
  3. Review
  4. 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

9 authors.

Song WangDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Jiayi HuDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Chuanying SuiDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Guangliang HeDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Zihan QuDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Xiaofei ChenDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Yashan WangDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Dingjie GuoDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Xin LiuDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China. Electronic address: liuxinjlu01@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo estimate the accuracy of clustered regularly interspaced short palindromic repeats (CRISPR) in determining coronavirus disease-19 (COVID-19).

methodsAs of January 31, 2022, PubMed, Web of Science, Embase, Science Direct, Wiley and Springer Link were searched. Sensitivity, specificity, likelihood ratio (LR), diagnostic odds ratio (DOR) and area under the summary receiver-operating characteristic (AUC) curve were used to assess the accuracy of CRISPR.

resultsAccording to the inclusion criteria, 5857 patients from 54 studies were included in this meta-analysis. The pooled sensitivity, specificity and AUC were 0.98, 1.00 and 1.00, respectively. For CRISPR-associated (Cas) proteins-12, the sensitivity, specificity was 0.96, 1.00, respectively. For Cas-13, the sensitivity and specificity were 0.99 and 0.99.

conclusionThis meta-analysis showed that the diagnostic performance of CRISPR is close to the gold standard, and it is expected to meet the Point of care requirements in resource poor areas.

Indexed as

COVID-19CRISPR-Cas SystemsHumansCOVID-19CRISPRMeta analysisSARS-Cov-2

Identifiers

PMID35341958
PMCPMC8949659

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.