Evidence map›Paper›PMID 35295425›Full record

ReviewFrontiers in pain research (Lausanne, Switzerland)2021

Quantitative Sensory Testing Across Chronic Pain Conditions and Use in Special Populations.

Kristen R Weaver, Mari A Griffioen, N Jennifer Klinedinst, Elizabeth Galik, Ana C Duarte, Luana Colloca, Barbara Resnick, Susan G Dorsey, Cynthia L Renn

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in pain research (Lausanne, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 3 pooled it
8.8field-weighted citation impact, top 1% 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

61 citing papers in PubMed, 3 syntheses or guidelines pooled it, 82 citations in OpenAlex.

  1. Pooled it
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  3. Brain Plasticity in Patients with Spinal Cord Injuries: A Systematic Review.International journal of molecular sciences · 2024
    Pooled it
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1 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

9 authors at 2 institutions in 1 country.

Kristen R WeaverDepartment of Pain and Translational Symptom Science, School of Nursing, University of Maryland, Baltimore, MD, United States.
Mari A GriffioenCenter to Advance Chronic Pain Research (CACPR), University of Maryland, Baltimore, MD, United States.
N Jennifer KlinedinstDepartment of Organizational Systems and Adult Health, School of Nursing, University of Maryland, Baltimore, MD, United States.
Elizabeth GalikDepartment of Organizational Systems and Adult Health, School of Nursing, University of Maryland, Baltimore, MD, United States.
Ana C DuarteDepartment of Family and Community Health, School of Nursing, University of Maryland, Baltimore, MD, United States.
Luana CollocaDepartment of Pain and Translational Symptom Science, School of Nursing, University of Maryland, Baltimore, MD, United States.
Barbara ResnickCenter to Advance Chronic Pain Research (CACPR), University of Maryland, Baltimore, MD, United States.
Susan G DorseyDepartment of Pain and Translational Symptom Science, School of Nursing, University of Maryland, Baltimore, MD, United States.
Cynthia L RennDepartment of Pain and Translational Symptom Science, School of Nursing, University of Maryland, Baltimore, MD, United States.
University of Maryland, Baltimore · USUniversity of Delaware · US

Funding

Pilot Projects CoreP30NR016579 · NINR · UNIVERSITY OF MARYLAND BALTIMORE · PI DORSEY, SUSAN G, RENN, CYNTHIA L · 2016 to 2020
$2.7M
Chronic orofacial pain: genetics, cognitive-emotional factors, and endogenous modulatory systemsR01DE025946 · NIDCR · UNIVERSITY OF MARYLAND BALTIMORE · PI COLLOCA, LUANA · 2016 to 2019
$2.1M
NIDCR NIH HHS R01 DE025946NINR NIH HHS P30 NR016579
6 · The paper itself

Abstract

Chronic pain imposes a significant burden to the healthcare system and adversely affects patients' quality of life. Traditional subjective assessments, however, do not adequately capture the complex phenomenon of pain, which is influenced by a multitude of factors including environmental, developmental, genetic, and psychological. Quantitative sensory testing (QST), established as a protocol to examine thermal and mechanical sensory function, offers insight on potential mechanisms contributing to an individual's experience of pain, by assessing their perceived response to standardized delivery of stimuli. Although the use of QST as a research methodology has been described in the literature in reference to specific pain populations, this manuscript details application of QST across a variety of chronic pain conditions. Specific conditions include lower extremity chronic pain, knee osteoarthritis, chronic low back pain, temporomandibular joint disorder, and irritable bowel syndrome. Furthermore, we describe the use of QST in placebo/nocebo research, and discuss the use of QST in vulnerable populations such as those with dementia. We illustrate how the evaluation of peripheral sensory nerve function holds clinical promise in targeting interventions, and how using QST can enhance patient education regarding prognostic outcomes with particular treatments. Incorporation of QST methodology in research investigations may facilitate the identification of common mechanisms underlying chronic pain conditions, guide the development of non-pharmacological behavioral interventions to reduce pain and pain-related morbidity, and enhance our efforts toward reducing the burden of chronic pain.

Indexed as

dementiairritable bowel syndrome (IBS)low back painosteoarthritisplacebotemporomandibular joint disorder (TMD)

Identifiers

PMID35295425
PMCPMC8915716
OpenAlexW4210390333

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.