Evidence map›Paper›PMID 40834427›Full record

ArticleJMIR biomedical engineering2025

Influence of Pre-Existing Pain on the Body's Response to External Pain Stimuli: Experimental Study.

Burcu Ozek, Zhenyuan Lu, Srinivasan Radhakrishnan, Sagar Kamarthi

Abstract read
In one paragraph

Article in JMIR biomedical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Burcu OzekMechanical and Industrial Engineering Department, Northeastern University, 360 Huntington Avenue, Boston, MA, 02115, United States, 1 6173733070.ORCID http://orcid.org/0000-0003-2763-265X
Zhenyuan LuMechanical and Industrial Engineering Department, Northeastern University, 360 Huntington Avenue, Boston, MA, 02115, United States, 1 6173733070.ORCID http://orcid.org/0000-0001-6730-8307
Srinivasan RadhakrishnanMechanical and Industrial Engineering Department, Northeastern University, 360 Huntington Avenue, Boston, MA, 02115, United States, 1 6173733070.ORCID http://orcid.org/0000-0002-1560-3619
Sagar KamarthiMechanical and Industrial Engineering Department, Northeastern University, 360 Huntington Avenue, Boston, MA, 02115, United States, 1 6173733070.ORCID http://orcid.org/0000-0001-5845-7714

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Accurately assessing pain severity is essential for effective pain treatment and desirable patient outcomes. In clinical settings, pain intensity assessment relies on self-reporting methods, which are subjective to individuals and impractical for noncommunicative or critically ill patients. Previous studies have attempted to measure pain objectively using physiological responses to an external pain stimulus, assuming that the participant is free of internal body pain. However, this approach does not reflect the situation in a clinical setting, where a patient subjected to an external pain stimulus may already be experiencing internal body pain. Objective: This study investigates the hypothesis that an individual's physiological response to external pain varies in the presence of preexisting pain. Methods: We recruited 39 healthy participants aged 22-37 years, including 23 female and 16 male participants. Physiological signals, electrodermal activity, and electromyography were recorded while participants were subject to a combination of preexisting heat pain and cold pain stimuli. Feature engineering methods were applied to extract time-series features, and statistical analysis using ANOVA was conducted to assess significance. Results: We found that the preexisting pain influences the body's physiological responses to an external pain stimulus. Several features-particularly those related to temporal statistics, successive differences, and distributions-showed statistically significant variation across varying preexisting pain conditions, with P values <.05 depending on the feature and stimulus. Conclusions: Our findings suggest that preexisting pain alters the body's physiological response to new pain stimuli, highlighting the importance of considering pain history in objective pain assessment models.

Indexed as

ANOVAhypothesis testingpain assessmentpain measurementphysiological signalssensors

Identifiers

PMID40834427
PMCPMC12367283

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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.