Evidence map›Paper›PMID 29332991›Full record

ArticleProceedings of the ... American Control Conference. American Control Conference2016

Prospective HIV Clinical Trial Comparison by Expected Kullback-Leibler Divergence.

LaMont Cannon, Cesar Augusto Vargas Garcia, Michael J Piovoso, Ryan Zurakowski

Abstract read
In one paragraph

Article in Proceedings of the ... American Control Conference. American Control Conference, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Implications of Measurement Assay Type in Design of HIV Experiments.Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control · 2017
    Article
  6. Order preservation of expected information content using Unscented Transform approximation of multivariate prior distributions in HIV 2-LTR experiment design.Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control · 2016
    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.

LaMont CannonUniversity of Delaware Biomedical Engineering Department, Newark, DE 19716, USA.
Cesar Augusto Vargas GarciaUniversity of Delaware Electrical and Computer Engineering Department Newark, DE 19716, USA.
Michael J PiovosoUniversity of Delaware Electrical and Computer Engineering Department Newark, DE 19716, USA.
Ryan ZurakowskiUniversity of Delaware Biomedical Engineering Department, Newark, DE 19716, USA.

Funding

HIV 2-LTR Dynamics and Cryptic ViremiaR21AI110288 · NIAID · UNIVERSITY OF DELAWARE · PI ZURAKOWSKI, RYAN M · 2014 to 2015
$418k
NIAID NIH HHS R21 AI110288
6 · The paper itself

Abstract

The sample frequency and volume of blood that can be drawn from a single patient is meticulously restricted under the human subject protection protocols established by an institutional review board (IRB). Consequently, the amount of samples that can be taken during a particular experiment is limited. In order to ensure an effective experiment design, considerations must be taken choosing when to take patient samples. A validated model of HIV-1 viral replication and 2-LTR production is exploited to find sub-optimal sampling schedules that maximize information content of the experiment outcome. This is done through a Forward Stepwise Regression (FSR) process with Kullback Liebler Divergence (KLD) as a selection criterion. Suboptimal schedules are found for an experiment taking four sample points over a possible span of 20 weeks. All schedules found with the FSR process contain significantly more information than both a uniform schedule and a schedule used in a previous experiment with 4 sample points. This work demonstrates the advantages of using KLD as a tool in the experiment design process to increase information content.

Identifiers

PMID29332991
PMCPMC5761735

What OpenQuestion holds

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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.