Evidence map›Paper›PMID 22020892›Full record

Trial reportThe Laryngoscope2011

Biosimulation of acute phonotrauma: an extended model.

Nicole Y K Li, Yoram Vodovotz, Kevin H Kim, Qi Mi, Patricia A Hebda, Katherine Verdolini Abbott

Abstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in The Laryngoscope, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Vocal exercise may attenuate acute vocal fold inflammation.Journal of voice : official journal of the Voice Foundation · 2012
    Trial
  2. Article
  3. Review
  4. Article
  5. Agent-based models of inflammation in translational systems biology: A decade later.Wiley interdisciplinary reviews. Systems biology and medicine · 2019
    Review
  6. Article
  7. Article
  8. Review
  9. Real-Time Agent-Based Modeling Simulation with in-situ Visualization of Complex Biological Systems: A Case Study on Vocal Fold Inflammation and Healing.IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum : [proceedings]. IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum · 2016
    Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. 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

6 authors.

Nicole Y K LiDepartment of Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Yoram Vodovotz
Kevin H Kim
Qi Mi
Patricia A Hebda
Katherine Verdolini Abbott

Funding

Regulation of Intestinal Mucosal Injury & Repair After Trauma/Hemorrhagic ShockP50GM053789 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI VODOVOTZ, YORAM · 1997 to 2013
$18.0M
Hybrid Model of Vocal Inflammation and Tissue MobilizationR01DC008290 · NIDCD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI VERDOLINI, KATHERINE · 2007 to 2011
$2.8M
NIDCD NIH HHS R01 DC008290NIDCD NIH HHS R01-DC-008290NIGMS NIH HHS P50 GM053789NIGMS NIH HHS P50-GM-53789
6 · The paper itself

Abstract

objectives/hypothesisPersonalized, preemptive, and predictive medicine is a central goal of contemporary medical care. The central aim of the present study was to investigate the utility of mechanistic computational modeling of inflammation and healing to address personalized therapy for patients with acute phonotrauma. STUDY

designComputer simulation.

methodsPreviously reported agent-based models (ABMs) of acute phonotrauma were extended with additional inflammatory mediators as well as extracellular matrix components. The models were calibrated with empirical data for a panel of biomarkers--interleukin (IL)-1β, IL-6, IL-8, IL-10, tumor necrosis factor-α and matrix metalloproteinase-8--from individual subjects following experimentally induced phonotrauma and a randomly assigned voice treatment namely voice rest, resonant voice exercise, and spontaneous speech. The models' prediction accuracy for biomarker levels was tested for a 24-hour follow-up time point.

resultsThe extended ABMs reproduced and predicted trajectories of biomarkers seen in experimental data. The simulation results also agreed qualitatively with various known aspects of inflammation and healing. Model prediction accuracy was generally better following individual-based calibration as compared to population-based calibration. Simulation results also suggested that the special form of vocal fold oscillation in resonant voice may accelerate acute vocal fold healing.

conclusionsThe calibration of inflammation/healing ABMs with subject-specific data appears to optimize the models' prediction accuracy for individual subjects. This translational application of biosimulation might be used to predict individual healing trajectories, the potential effects of different treatment options, and most importantly, provide new understanding of health and healing in the larynx and possibly in other organs and tissues as well.

Indexed as

Computer SimulationRestSpeechVoice TrainingAdultBiomarkersBlood PlateletsElastinExtracellular MatrixFemaleFibroblast Growth Factor 2FibroblastsHumansHyaluronic AcidInflammation MediatorsInterleukinsBiomarkersElastinFibroblast Growth Factor 2Hyaluronic AcidInflammation MediatorsInterleukinsMatrix Metalloproteinase 8

Identifiers

PMID22020892
PMCPMC3360963

What OpenQuestion holds

Textmetadata
LicenceTDM
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.