Evidence map›Paper›PMID 34856308›Full record

SynthesisJournal of virological methods2022

The screening value of RT-LAMP and RT-PCR in the diagnosis of COVID-19: systematic review and meta-analysis.

Ruiyang Pu, Sha Liu, Xiaoyu Ren, Dian Shi, Yupei Ba, Yanbei Huo, Wenling Zhang, Lingling Ma, Yanyan Liu, Yan Yang and 1 more

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of virological methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 2 pooled it
7.6field-weighted citation impact, top 2% of its field
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

58 citing papers in PubMed, 2 syntheses or guidelines pooled it, 106 citations in OpenAlex.

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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

11 authors at 1 institution in 1 country.

Ruiyang PuSchool of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu, PR China.
Sha LiuSchool of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu, PR China.
Xiaoyu RenSchool of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu, PR China.
Dian ShiSchool of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu, PR China.
Yupei BaInstitute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, PR China.
Yanbei HuoInstitute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, PR China.
Wenling ZhangInstitute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, PR China.
Lingling MaSchool of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu, PR China.
Yanyan LiuInstitute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, PR China.
Yan YangSchool of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu, PR China.
Ning ChengSchool of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu, PR China. Electronic address: chengn@lzu.edu.cn.
Lanzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this systematic review is to evaluate the test accuracy of reverse-transcription loop-mediated isothermal amplification (RT-LAMP) and reverse transcription-PCR (RT-PCR) for the diagnosis of coronavirus disease 2019 (COVID-19). We comprehensively searched PUBMED, Web of Science, the Cochrane Library, the Chinese National Knowledge Infrastructure, and the Chinese Biomedical Literature Service System until September 1, 2021. We included clinical studies assessing the sensitivity and specificity of RT-PCR and RT-LAMP using respiratory samples. Thirty-three studies were included with 9360 suspected cases of SARS-CoV-2 infection. The RT-PCR or other comprehensive diagnostic method was defined as the reference method. The results showed that the overall pooled sensitivity of RT-PCR and RT-LAMP was 0.96 (95 % CI, 0.93-0.98) and 0.92 (95 % CI, 0.85-0.96), respectively. RT-PCR and RT-LAMP had a 0.06 (95 % CI, 0.04-0.08) and 0.12 (95 % CI, 0.06-0.16) false-negative rates (FNR), respectively. Moreover, subgroup analysis showed mixed sampling and multiple target gene diagnosis methods had better diagnostic value than single-site sampling and a single target gene. The sensitivity and FNR were also significantly affected by the reference method. Comparing RT-LAMP with established suboptimal RT-PCR may exaggerate the performance of RT-LAMP. RT-PCR and RT-LAMP showed high values in the diagnosis of COVID-19, but there was still a FNR of about 6%-12%.

Indexed as

COVID-19HumansMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesReverse Transcriptase Polymerase Chain ReactionReverse TranscriptionSARS-CoV-2Sensitivity and SpecificityCOVID-19Diagnostic accuracyFalse-negative rateRT-LAMPRT-PCR

Identifiers

PMID34856308
PMCPMC8629515
OpenAlexW3215296137

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.