Evidence map›Paper›PMID 15195120›Full record

ArticleLaboratory investigation; a journal of technical methods and pathology2004

Coupling multiplex RT-PCR to a gene chip assay for sensitive and semiquantitative detection of severe acute respiratory syndrome-coronavirus.

Jyh-Lyh Juang, Tsan-Chi Chen, Shih Sheng Jiang, Chao A Hsiung, Wei-Chen Chen, Guang-Wu Chen, Shiang-Ming Lin, Jih-Hui Lin, Shu-Chun Chiu, Yiu-Kay Lai

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In one paragraph

Article in Laboratory investigation; a journal of technical methods and pathology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Article
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  5. Article
  6. Review
  7. Nucleic acid amplification-based techniques for pathogen detection and identification.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2006
    Review
  8. Review
  9. 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

10 authors at 3 institutions in 1 country.

Jyh-Lyh JuangDivision of Molecular and Genomic Medicine, National Health Research Institutes, Taipei, Taiwan. juang@nhri.org.tw
Tsan-Chi Chen
Shih Sheng Jiang
Chao A Hsiung
Wei-Chen Chen
Guang-Wu Chen
Shiang-Ming Lin
Jih-Hui Lin
Shu-Chun Chiu
Yiu-Kay Lai
National Health Research Institutes · TWMinistry of Health and Welfare · TWNational Tsing Hua University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An early and accurate diagnostic assay for severe acute respiratory syndrome (SARS) is crucial for infection control. However, most of the diagnostic methods available today, such as real-time reverse transcriptase-polymerase chain reaction (RT-PCR), require a second detection method for confirmation because they detect a single sequence region of the SARS-coronavirus (SARS-CoV). For sensitive and accurate early diagnosis, we report a novel assay system combining multiplex RT-PCR and a diagnostic gene chip to detect multiple virus-specific genomic sequences of SARS-CoV. With 53 clinical specimens, we successfully demonstrate that this technique offers not only a high-accuracy diagnosis for early SARS infection but also a semiquantitative assay.

Indexed as

Reverse Transcriptase Polymerase Chain ReactionDNA PrimersHumansOligonucleotide Array Sequence AnalysisReproducibility of ResultsRNA, ComplementaryRNA, ViralSensitivity and SpecificitySevere Acute Respiratory SyndromeSevere acute respiratory syndrome-related coronavirusDNA PrimersRNA, ComplementaryRNA, Viral

Identifiers

PMID15195120
PMCPMC7100734
OpenAlexW2125350150

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.