Evidence map›Paper›PMID 15550479›Full record

ArticleClinical chemistry2005

Proteomic fingerprints for potential application to early diagnosis of severe acute respiratory syndrome.

Xixiong Kang, Yang Xu, Xiaoyi Wu, Yong Liang, Chen Wang, Junhua Guo, Yajie Wang, Maohua Chen, Da Wu, Youchun Wang and 18 more

Abstract read
In one paragraph

Article in Clinical chemistry, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Application of proteomics methods for pathogen discovery.Journal of virological methods · 2010
    Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Clinical proteomics: present and future prospects.The Clinical biochemist. Reviews · 2006
    Article
  16. Article
  17. Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV).Perspectives in medical virology · 2006
    Review
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

28 authors.

Xixiong KangCenter for Laboratory Diagnosis, Beijing Tiantan Hospital and Capital University of Medical Sciences, Beijing, China.
Yang Xu
Xiaoyi Wu
Yong Liang
Chen Wang
Junhua Guo
Yajie Wang
Maohua Chen
Da Wu
Youchun Wang
Shengli Bi
Yan Qiu
Peng Lu
Jing Cheng
Bai Xiao
Liangping Hu
Xing Gao
Jingzhong Liu
Yiping Wang
Yingzhao Song
Liqun Zhang
Fengshuang Suo
Tongyan Chen
Zeyu Huang
Yunzhuan Zhao
Hong Lu
Chunqin Pan
Hong Tang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDefinitive early-stage diagnosis of severe acute respiratory syndrome (SARS) is important despite the number of laboratory tests that have been developed to complement clinical features and epidemiologic data in case definition. Pathologic changes in response to viral infection might be reflected in proteomic patterns in sera of SARS patients.

methodsWe developed a mass spectrometric decision tree classification algorithm using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry. Serum samples were grouped into acute SARS (n = 74; <7 days after onset of fever) and non-SARS [n = 1067; fever and influenza A (n = 203), pneumonia (n = 176); lung cancer (n = 29); and healthy controls (n = 659)] cohorts. Diluted samples were applied to WCX-2 ProteinChip arrays (Ciphergen), and the bound proteins were assessed on a ProteinChip Reader (Model PBS II). Bioinformatic calculations were performed with Biomarker Wizard software 3.1.1 (Ciphergen).

resultsThe discriminatory classifier with a panel of four biomarkers determined in the training set could precisely detect 36 of 37 (sensitivity, 97.3%) acute SARS and 987 of 993 (specificity, 99.4%) non-SARS samples. More importantly, this classifier accurately distinguished acute SARS from fever and influenza with 100% specificity (187 of 187).

conclusionsThis method is suitable for preliminary assessment of SARS and could potentially serve as a useful tool for early diagnosis.

Indexed as

Severe acute respiratory syndrome-related coronavirusAdolescentAdultAgedAlgorithmsBiomarkersBlood Specimen CollectionChildDecision TreesFemaleHumansMaleMiddle AgedProtein Array AnalysisProteomeRetrospective StudiesBiomarkersProteomeViral Proteins

Identifiers

PMID15550479
PMCPMC7108460

What OpenQuestion holds

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Registered trials

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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.