Evidence map›Paper›PMID 23638820›Full record

ReviewExpert review of molecular diagnostics2013

Application of mass spectrometry to molecular diagnostics of viral infections.

Lilia M Ganova-Raeva, Yury E Khudyakov

Open access · greenAbstract readReview
In one paragraph

Review in Expert review of molecular diagnostics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Laboratory diagnosis of COVID-19 in China: A review of challenging cases and analysis.Journal of microbiology, immunology, and infection = Wei mian yu gan ran za zhi · 2021
    Review
  5. Article
  6. Article
  7. Article
  8. Transparency of reporting in molecular diagnostics.International journal of molecular sciences · 2013
    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

2 authors at 1 institution in 1 country.

Lilia M Ganova-RaevaCenters for Disease Control and Prevention, Division of Viral Hepatitis, 1600 Clifton Rd. NE, MS A-33, Atlanta, GA 30329, USA. lkg7@cdc.gov
Yury E Khudyakov
Centers for Disease Control and Prevention · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Mass spectrometry (MS) has found numerous applications in life sciences. It has high accuracy, sensitivity and wide dynamic range in addition to medium- to high-throughput capabilities. These features make MS a superior platform for analysis of various biomolecules including proteins, lipids, nucleic acids and carbohydrates. Until recently, MS was applied for protein detection and characterization. During the last decade, however, MS has successfully been used for molecular diagnostics of microbial and viral infections with the most notable applications being identification of pathogens, genomic sequencing, mutation detection, DNA methylation analysis, tracking of transmissions, and characterization of genetic heterogeneity. These new developments vastly expand the MS application from experimental research to public health and clinical fields. Matching of molecular techniques with specific requirements of the major MS platforms has produced powerful technologies for molecular diagnostics, which will further benefit from coupling with computational tools for extracting clinical information from MS-derived data.

Indexed as

Pathology, MolecularCommunicable DiseasesDNA MethylationHumansMass SpectrometryNucleic AcidsSequence Analysis, DNAViral ProteinsVirusesNucleic AcidsViral Proteins

Identifiers

PMID23638820
PMCPMC5831079
OpenAlexW2145819254

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.