Evidence map›Paper›PMID 20451157›Full record

ReviewGenomics, proteomics & bioinformatics2010

Host proteome research in HIV infection.

Lijun Zhang, Xiaojun Zhang, Qing Ma, Honghao Zhou

Abstract readReview
In one paragraph

Review in Genomics, proteomics & bioinformatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Proteomics, biomarkers, and HIV-1: A current perspective.Proteomics. Clinical applications · 2016
    Review
  5. Bioinformatics and HIV latency.Current HIV/AIDS reports · 2015
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

4 authors.

Lijun ZhangDepartment of Pharmacogenetics, Institute of Clinical Pharmacology, Central South University, Changsha 410078, China. zhanglijun1221@163.com
Xiaojun Zhang
Qing Ma
Honghao Zhou

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteomics has been widely used in the last few years to look for new biomarkers and decipher the mechanism of HIV-host interaction. Herein, we review the recent developments of HIV/AIDS proteomic research, including the samples used in HIV/AIDS related research, the technologies used for proteomic study, the diagnosis biomarkers of HIV-associated disease especially HIV-associated neurocognitive impairment, the mechanisms of HIV-host interaction, HIV-associated dementia, substance abuse, and so on. In the end of this review, we also give some prospects about the limitation and future improvement of HIV/AIDS proteomic research.

Indexed as

Acquired Immunodeficiency SyndromeAIDS Dementia ComplexAnimalsForecastingHIVHIV InfectionsHumansProteomeProteomicsResearchSubstance-Related DisordersProteome

Identifiers

PMID20451157
PMCPMC5054115

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
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 Socratic graph.