Evidence map›Paper›PMID 30323655›Full record

ArticleJournal of pain research2018

A novel cross-correlation methodology for assessing biophysical responses associated with pain.

John Sunwoo, Patjanaporn Chalacheva, Maha Khaleel, Payal Shah, Richard Sposto, Roberta M Kato, Jon Detterich, Lonnie K Zeltzer, John C Wood, Thomas D Coates and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of pain research, 2018. 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
0.7field-weighted citation impact, top 26% of its field
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, 8 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

John SunwooDepartment of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA, johnsunw@usc.edu.
Patjanaporn ChalachevaDepartment of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA, johnsunw@usc.edu.
Maha KhaleelHematology Section, Children's Center for Cancer, Blood Disease and Bone Marrow Transplantation, Children's Hospital Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Payal ShahHematology Section, Children's Center for Cancer, Blood Disease and Bone Marrow Transplantation, Children's Hospital Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Richard SpostoChildren's Center for Cancer, Blood Disease and Bone Marrow Transplantation, Children's Hospital Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Roberta M KatoDivision of Pediatric Pulmonology, Children's Hospital Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Jon DetterichDivision of Pediatric Cardiology, Children's Hospital Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Lonnie K ZeltzerPediatric Pain and Palliative Care Program, Department of Pediatrics, Division of Hematology-Oncology, David Geffen School of Medicine at the University of California Los Angeles, Los Angeles, CA, USA.
John C WoodDepartment of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA, johnsunw@usc.edu.
Thomas D CoatesHematology Section, Children's Center for Cancer, Blood Disease and Bone Marrow Transplantation, Children's Hospital Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Michael Ck KhooDepartment of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA, johnsunw@usc.edu.
University of Southern California · USUniversity of California, Los Angeles · US

Funding

TrainingP41EB001978 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KHOO, MICHAEL C K · 2003 to 2017
$18.1M
Neuromodulatory Mechanisms and Regional Autonomic Dysregulation in the Development of Pain in Sickle Cell Disease PatientsU01HL117718 · NHLBI · CHILDREN'S HOSPITAL OF LOS ANGELES · PI COATES, THOMAS DUANE, KHOO, MICHAEL C K · 2013 to 2017
$9.6M
NHLBI NIH HHS U01 HL117718NIBIB NIH HHS P41 EB001978
6 · The paper itself

Abstract

purposeThe purpose of this work was to noninvasively detect and quantify microvascular blood flow changes in response to externally applied pain in humans. The responsiveness of the microvasculature to pain stimulation might serve as an objective biomarker in diseases associated with altered pain perception and dysregulated vascular functions. The availability of such a biomarker may be useful as a tool for predicting outcome and response to treatments, particularly in diseases like sickle cell anemia where clinical manifestations are directly linked to microvascular perfusion. We, therefore, developed a method to distinguish the blood flow response due to the test stimulus from the blood flow measurement that also includes concurrent flow changes from unknown origins. SUBJECTS AND

methodsWe measured the microvascular blood flow response in 24 healthy subjects in response to a train of randomly spaced and scaled heat pulses on the anterior forearm. The fingertip microvascular perfusion was measured using laser Doppler flowmetry. The cross-correlation between the heat pulses and the blood flow response was computed and tested for significance against the null distribution obtained from the baseline recording using bootstrapping method.

resultsWe estimated correlation coefficients, response time, response significance, and the magnitude of vasoreactivity from microvascular blood flow responses. Based on these pain response indices, we identified strong responders and subjects who did not show significant responses.

conclusionThe cross-correlation of a random pattern of painful stimuli with directly measured microvascular flow can detect vasoconstriction responses in a noisy blood flow signal, determine the time between stimulus and response, and quantify the magnitude of this response. This approach provided an objective measurement of vascular response to pain that may be an inherent characteristic of individual human subjects, and may also be related to the severity of vascular disorders.

Indexed as

bootstrap testcross-correlationlaser Doppler flowmetryobjective quantification of painrandomized heat pulse trainvasoreactivity

Identifiers

PMID30323655
PMCPMC6179586
OpenAlexW2895377273

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.