Evidence map›Paper›PMID 24954972›Full record

ArticleProceedings of the ... American Control Conference. American Control Conference2010

Modeling-error robustness of a viral-load preconditioning strategy for HIV treatment switching.

Rutao Luo, Michael J Piovoso, Ryan Zurakowski

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Proceedings of the ... American Control Conference. American Control Conference, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Controlling the Evolution of Resistance.Journal of process control · 2011
    Article
  4. Article
  5. Approximate-model closed-loop minimal sampling method for HIV viral-load minima detection.Proceedings of the ... American Control Conference. American Control Conference · 2011
    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

3 authors.

Rutao LuoPhD student in Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, USA rutaoluo@udel.edu.
Michael J PiovosoProfessor of Electrical Engineering, Penn State University Great Valley, 30E. Swedesford Road, Malvern, PA 19355, USA mjp5@gv.psu.edu.
Ryan ZurakowskiAssistant Professor of Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, USA ryanz@udel.edu.

Funding

Analysis of Differential Resistance Emergence Risk for Differential Treatment AppR21AI078842 · NIAID · UNIVERSITY OF DELAWARE · PI ZURAKOWSKI, RYAN M · 2009 to 2010
$396k
NIAID NIH HHS R21 AI078842
6 · The paper itself

Abstract

In previous work, we have developed optimal-control based approaches that seek to minimize the risk of subsequent virological failure by "pre-conditioning" the viral load during therapy switches. In this paper, we use Monte-Carlo methods to evaluate the sensitivity of an open-loop implementation of these approaches to modeling errors. To account for hidden parameter dependencies, we use parameter distributions obtained from the convergence of Bayesian parameter estimation techniques applied to sets of clinical data obtained during serial therapy interruptions as the distribution from which the Monte-Carlo method samples.

Identifiers

PMID24954972
PMCPMC4061758

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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.