Evidence map›Paper›PMID 26413474›Full record

ArticleNeuroImage. Clinical2015

Determinants of HIV-induced brain changes in three different periods of the early clinical course: A data mining analysis.

Bokai Cao, Xiangnan Kong, Casey Kettering, Philip Yu, Ann Ragin

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. HIV/neuroAIDS biomarkers.Progress in neurobiology · 2017
    Review
  10. Cognitive function in early HIV infection.Journal of neurovirology · 2017
    Article
  11. Article
  12. 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

5 authors at 3 institutions in 1 country.

Bokai CaoDepartment of Computer Science, University of Illinois at Chicago, 851 S. Morgan, Chicago, IL 60607, USA.
Xiangnan KongDepartment of Computer Science, Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA 01609, USA.
Casey KetteringDepartment of Radiology, Feinberg School of Medicine, Northwestern University, Suite 1600, 737 N. Michigan Ave, Chicago, IL 60611, USA.
Philip YuDepartment of Computer Science, University of Illinois at Chicago, 851 S. Morgan, Chicago, IL 60607, USA.
Ann RaginDepartment of Radiology, Feinberg School of Medicine, Northwestern University, Suite 1600, 737 N. Michigan Ave, Chicago, IL 60611, USA.
Northwestern University · USUniversity of Illinois Chicago · USWorcester Polytechnic Institute · US

Funding

A Multiparametric MR Study of Early and Late Stage HIV InfectionR01MH080636 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI RAGIN, ANN B · 2007 to 2011
$1.6M
NIMH NIH HHS R01 MH080636NIMH NIH HHS R01-MH080636
6 · The paper itself

Abstract

To inform an understanding of brain status in HIV infection, quantitative imaging measurements were derived at structural, microstructural and macromolecular levels in three different periods of early infection and then analyzed simultaneously at each stage using data mining. Support vector machine recursive feature elimination was then used for simultaneous analysis of subject characteristics, clinical and behavioral variables, and immunologic measures in plasma and CSF to rank features associated with the most discriminating brain alterations in each period. The results indicate alterations beginning in initial infection and in all periods studied. The severity of immunosuppression in the initial virus host interaction was the most highly ranked determinant of earliest brain alterations. These results shed light on the initial brain changes induced by a neurotropic virus and their subsequent evolution. The pattern of ongoing alterations occurring during and beyond the period in which virus is suppressed in the systemic circulation supports the brain as a viral reservoir that may preclude eradication in the host. Data mining capabilities that can address high dimensionality and simultaneous analysis of disparate information sources have considerable utility for identifying mechanisms underlying onset of neurological injury and for informing new therapeutic targets.

Indexed as

Data MiningAdultBrainCytokinesDisease ProgressionFemaleHIV InfectionsHumansMagnetic Resonance ImagingMaleSeverity of Illness IndexSupport Vector MachineCytokinesAcute HIVCorpus callosumCytokinesData miningMMP-1Neuroinflammation

Identifiers

PMID26413474
PMCPMC4543221
OpenAlexW1074998046

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.