Evidence map›Paper›PMID 31492167›Full record

ArticleJournal of translational medicine2019

Transitioning from acute to chronic pain: a simulation study of trajectories of low back pain.

Jianzhong Su, Ying Du, Kelley Bevers, Pengcheng Xiao, John Licciardone, Marco Brotto, Robert J Gatchel

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Article in Journal of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Observational
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4 · The record

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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

7 authors.

Jianzhong SuDepartment of Mathematics, University of Texas at Arlington, Arlington, USA.
Ying DuDepartment of Mathematics, East China University of Science and Technology, Shanghai, China.
Kelley BeversDepartment of Psychology, University of Texas at Arlington, Arlington, USA.
Pengcheng XiaoDepartment of Mathematics, Kennesaw State University, 1100 South Marietta Pkwy, Marietta, GA, 30060, USA.
John LicciardoneDepartment of Family Medicine, UNT Health Science Center, Fort Worth, USA.
Marco BrottoCollege of Nursing and Health Innovation, University of Texas at Arlington, Arlington, USA.
Robert J GatchelDepartment of Psychology, University of Texas at Arlington, Arlington, USA. gatchel@uta.edu.ORCID 0000-0002-5093-8414

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdentifying how pain transitions from acute to chronic is critical in designing effective prevention and management techniques for patients' well-being, physically, psychosocially, and financially. There is an increasingly pressing need for a quantitative and predictive method to evaluate how low back pain trajectories are classified and, subsequently, how we can more effectively intervene during these progression stages.

methodsIn order to better understand pain mechanisms, we investigated, using computational modeling, how best to describe pain trajectories by developing a platform by which we studied the transition of acute chronic pain.

resultsThe present study uses a computational neuroscience-based method to conduct such trajectory research, motivated by the use of hypothalamic-pituitary-adrenal (HPA) axis activity-history over a time-period as a way to mimic pain trajectories. A numerical simulation study is presented as a "proof of concept" for this modeling approach.

conclusionsThis model and its simulation results have highlighted the feasibility and the potential of developing such a broader model for patient evaluations.

Indexed as

Acute PainChronic PainComputer SimulationHumansHydrocortisoneHypothalamo-Hypophyseal SystemLow Back PainPituitary-Adrenal SystemHydrocortisoneChronic and acute painsComputer simulationHPA axisLow back painOrdinary differential equation systemPain trajectories

Identifiers

PMID31492167
PMCPMC6729046

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