Evidence map›Paper›PMID 35417835›Full record

ArticleDiagnostic microbiology and infectious disease2022

Comparison of reverse-transcription qPCR and droplet digital PCR for the detection of SARS-CoV-2 in clinical specimens of hospitalized patients.

Jingyuan Li, Weishi Lin, Pibo Du, Wei Liu, Xiong Liu, Chaojie Yang, Ruizhong Jia, Yong Wang, Yong Chen, Leili Jia and 6 more

Open access · greenAbstract read
In one paragraph

Article in Diagnostic microbiology and infectious disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 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

16 authors at 5 institutions in 1 country.

Jingyuan LiDepartment of Orthopaedics, Air Force Clinical College (Air Force Medical Center) of Anhui Medical University, Beijing, P. R. China.
Weishi LinChinese PLA Center for Disease Control and Prevention, Beijing, China; Wuhan Huoshenshan Hospital, Wuhan, Hubei Province, China.
Pibo DuChinese PLA 910 Hospital, Quanzhou, Fujian Province, China.
Wei LiuChinese PLA Center for Disease Control and Prevention, Beijing, China; Wuhan Huoshenshan Hospital, Wuhan, Hubei Province, China.
Xiong LiuChinese PLA Center for Disease Control and Prevention, Beijing, China; Wuhan Huoshenshan Hospital, Wuhan, Hubei Province, China.
Chaojie YangChinese PLA Center for Disease Control and Prevention, Beijing, China; Wuhan Huoshenshan Hospital, Wuhan, Hubei Province, China.
Ruizhong JiaChinese PLA Center for Disease Control and Prevention, Beijing, China; Wuhan Huoshenshan Hospital, Wuhan, Hubei Province, China.
Yong WangChinese PLA Center for Disease Control and Prevention, Beijing, China; Wuhan Huoshenshan Hospital, Wuhan, Hubei Province, China.
Yong ChenChinese PLA Center for Disease Control and Prevention, Beijing, China; Wuhan Huoshenshan Hospital, Wuhan, Hubei Province, China.
Leili JiaChinese PLA Center for Disease Control and Prevention, Beijing, China; Wuhan Huoshenshan Hospital, Wuhan, Hubei Province, China.
Li HanChinese PLA Center for Disease Control and Prevention, Beijing, China; Wuhan Huoshenshan Hospital, Wuhan, Hubei Province, China.
Weilong TanHuadong Research Institute for Medicine and Biotechniques, Nanjing, Jiangsu Province, China.
Nan LiuChinese PLA 910 Hospital, Quanzhou, Fujian Province, China.
Junjie DuDepartment of Orthopaedics, Air Force Clinical College (Air Force Medical Center) of Anhui Medical University, Beijing, P. R. China. Electronic address: dujunjie205@hotmail.com.
Yuehua KeChinese PLA Center for Disease Control and Prevention, Beijing, China; Wuhan Huoshenshan Hospital, Wuhan, Hubei Province, China. Electronic address: yuehuakebj@163.com.
Changjun WangChinese PLA Center for Disease Control and Prevention, Beijing, China; Wuhan Huoshenshan Hospital, Wuhan, Hubei Province, China. Electronic address: science2008@hotmail.com.
Wuhan Center for Disease Control and Prevention · CNAnhui Medical University · CNThe 180th Hospital of PLA · CNHuadong Hospital · CNWuhan No.1 Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate detection of severe acute respiratory syndrome coronavirus 2 is not only necessary for viral load monitoring to optimize treatment in hospitalized coronavirus disease 2019 patients, but also critical for deciding whether the patient could be discharged without any risk of viral shedding. Digital droplet PCR (ddPCR) is more sensitive than reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) and is usually considered the superior choice. In the current study, we compared the clinical performance of RT-qPCR and ddPCR using oropharyngeal swab samples from patients hospitalized in the temporary Huoshenshan Hospital, Wuhan, Hubei, China. Results demonstrated that ddPCR was indeed more sensitive than RT-qPCR. Negative results might be caused by poor sampling technique or recovered patients, as the range of viral load in these patients varied significantly. In addition, both methods were highly correlated in terms of their ability to detect all three target genes as well as the ratio of copies of viral genes to that of the IC gene. Furthermore, our results evidenced that both methods detected the N gene more easily than the ORF gene. Taken together, these findings imply that the use of ddPCR, as an alternative to RT-qPCR, is necessary for the accurate diagnosis of hospitalized coronavirus disease 2019 patients.

Indexed as

COVID-19SARS-CoV-2HumansReal-Time Polymerase Chain ReactionReverse TranscriptionRNA, ViralSensitivity and SpecificityViral LoadRNA, ViralClinical performanceCOVID-19ddPCRQuantitative detectionRT-qPCRSARS-CoV-2

Identifiers

PMID35417835
PMCPMC8933867
OpenAlexW4221067108

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.