Evidence map›Paper›PMID 22941277›Full record

ArticleNature medicine2012

Antiretroviral dynamics determines HIV evolution and predicts therapy outcome.

Daniel I S Rosenbloom, Alison L Hill, S Alireza Rabi, Robert F Siliciano, Martin A Nowak

Registry-linked trialAbstract read
In one paragraph

Article in Nature medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03220178 (PRECYCLE), which is not on this map. Cited by 100 papers.

0numbers the graph read from it
0cells of the map it votes in
100citing 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.

NCT03220178 phase4terminatednot on this mapstarted 2017, after this paper: background citation

PRECYCLE: Multicenter, Randomized Phase IV Intergroup Trial to Evaluate the Impact of eHealth-based Patient Reported Outcome (PRO) Assessment on Quality of Life in Patients With Hormone Receptor Positive, HER2 Negative Locally Advanced or Metastatic Breast Cancer Treated With Palbociclib and an Aromatase Inhibitor- or Palbociclib and Fulvestrant

TypeinterventionalSponsorPalleos Healthcare GmbHRan2017 to 2021Enrolled532ConditionsBreast NeoplasmArmsPalbociclib, Fulvestrant, Anastrozole, Letrozole, Exemestane
3 · Its place in the literature

Who cites it

100 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Modelling HIV-1 control and remission.NPJ systems biology and applications · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

40 more citing papers are in PubMed but not listed here.

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.

Daniel I S RosenbloomDepartment of Mathematics, Harvard University, Cambridge, Massachusetts, USA.
Alison L Hill
S Alireza Rabi
Robert F Siliciano
Martin A Nowak

Funding

TB PREVENTION AND HIV IN THE HOMELESS--AN INTERVENTIONR01MH054907 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BANGSBERG, DAVID ROY · 1995 to 2014
$20.7M
CELLULAR &MOLECULAR MECH OF INFLAMMATORY REACTIONST32AI007247 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Joel L Pomerantz · 1985 to 2026
$10.2M
Intermolecular cooperativity in the action of antiviral agentsR01AI081600 · NIAID · JOHNS HOPKINS UNIVERSITY · PI SILICIANO, ROBERT F · 2009 to 2013
$1.4M
Evolutionary Graph Theory and Its ApplicationsR01GM078986 · NIGMS · HARVARD UNIVERSITY · PI NOWAK, MARTIN · 2006 to 2009
$1.2M
Howard Hughes Medical InstituteNIAID NIH HHS R01 AI081600NIAID NIH HHS T32 AI007247NIGMS NIH HHS R01 GM078986NIMH NIH HHS R01 MH054907
6 · The paper itself

Abstract

Despite the high inhibition of viral replication achieved by current anti-HIV drugs, many patients fail treatment, often with emergence of drug-resistant virus. Clinical observations show that the relationship between adherence and likelihood of resistance differs dramatically among drug classes. We developed a mathematical model that explains these observations and predicts treatment outcomes. Our model incorporates drug properties, fitness differences between susceptible and resistant strains, mutations and adherence. We show that antiviral activity falls quickly for drugs with sharp dose-response curves and short half-lives, such as boosted protease inhibitors, limiting the time during which resistance can be selected for. We find that poor adherence to such drugs causes treatment failure via growth of susceptible virus, explaining puzzling clinical observations. Furthermore, our model predicts that certain single-pill combination therapies can prevent resistance regardless of patient adherence. Our approach represents a first step for simulating clinical trials of untested anti-HIV regimens and may help in the selection of new drug regimens for investigation.

Indexed as

Biological EvolutionModels, BiologicalAnti-Retroviral AgentsComputer SimulationDrug Resistance, ViralDrug Therapy, CombinationGenetic FitnessHIVHIV InfectionsHumansMedication AdherenceMutationSpecies SpecificityTreatment OutcomeAnti-Retroviral Agents

Identifiers

PMID22941277
PMCPMC3490032

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.