Evidence map›Paper›PMID 15629054›Full record

ReviewGenomics, proteomics & bioinformatics2003

Molecular advances in severe acute respiratory syndrome-associated coronavirus (SARS-CoV).

Ken Yan Ching Chow, Chung Chau Hon, Raymond Kin Hi Hui, Raymond Tsz Yeung Wong, Chi Wai Yip, Fanya Zeng, Frederick Chi Ching Leung

Abstract readReview
In one paragraph

Review in Genomics, proteomics & bioinformatics, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Introduction on Coronavirus Disease (COVID-19) Pandemic: The Global Challenge.Advances in experimental medicine and biology · 2021
    Article
  4. Stacked-autoencoder-based model for COVID-19 diagnosis on CT images.Applied intelligence (Dordrecht, Netherlands) · 2021
    Article
  5. Review
  6. Lessons from Epidemics, Pandemics, and Surgery.Journal of the American College of Surgeons · 2020
    Article
  7. Review
  8. Review
  9. Article
  10. Pathogenic viruses: Molecular detection and characterization.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2020
    Review
  11. Observational
  12. Article
  13. Article
  14. Article
  15. Article
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

7 authors.

Ken Yan Ching ChowDepartment of Zoology, The University of Hong Kong, Hong Kong SAR, China.
Chung Chau Hon
Raymond Kin Hi Hui
Raymond Tsz Yeung Wong
Chi Wai Yip
Fanya Zeng
Frederick Chi Ching Leung

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The sudden outbreak of severe acute respiratory syndrome (SARS) in 2002 prompted the establishment of a global scientific network subsuming most of the traditional rivalries in the competitive field of virology. Within months of the SARS outbreak, collaborative work revealed the identity of the disastrous pathogen as SARS-associated coronavirus (SARS-CoV). However, although the rapid identification of the agent represented an important breakthrough, our understanding of the deadly virus remains limited. Detailed biological knowledge is crucial for the development of effective countermeasures, diagnostic tests, vaccines and antiviral drugs against the SARS-CoV. This article reviews the present state of molecular knowledge about SARS-CoV, from the aspects of comparative genomics, molecular biology of viral genes, evolution, and epidemiology, and describes the diagnostic tests and the anti-viral drugs derived so far based on the available molecular information.

Indexed as

AnimalsDrug DesignEvolution, MolecularHumansSevere Acute Respiratory SyndromeSevere acute respiratory syndrome-related coronavirusViral VaccinesViral Vaccines

Identifiers

PMID15629054
PMCPMC5172416

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.