Evidence map›Paper›PMID 34866207›Full record

ArticleResearch in nursing & health2022

Neurophysiological and transcriptomic predictors of chronic low back pain: Study protocol for a longitudinal inception cohort study.

Angela Starkweather, Kathryn Ward, Bright Eze, Ahleah Gavin, Cynthia L Renn, Susan G Dorsey

Open access · greenAbstract readClinical Trial Protocol
In one paragraph

Article in Research in nursing & health, 2022. 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
0.6field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Psychophysics of Pain: A Methodological Introduction.Pain management nursing : official journal of the American Society of Pain Management Nurses · 2023
    Article
  3. 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 at 2 institutions in 1 country.

Angela StarkweatherSchool of Nursing, University of Connecticut, Institute for Systems Genomics, Storrs, Connecticut, USA.ORCID 0000-0001-7168-0144
Kathryn WardPain and Translational Symptom Science, University of Maryland School of Nursing, Baltimore, Maryland, USA.ORCID 0000-0001-9426-4522
Bright EzeSchool of Nursing, University of Connecticut School of Nursing, Storrs, Connecticut, USA.
Ahleah GavinPain and Translational Symptom Science, University of Maryland School of Nursing, Baltimore, Maryland, USA.
Cynthia L RennPain and Translational Symptom Science, University of Maryland School of Nursing, Baltimore, Maryland, USA.
Susan G DorseyPain and Translational Symptom Science, University of Maryland School of Nursing, Baltimore, Maryland, USA.
University of Maryland, Baltimore · USUniversity of Connecticut · US

Funding

Neurophysiological and transcriptomic predictors of chronic low back pain: towards precision pain management (NEAT Study)R01NR018595 · NINR · UNIVERSITY OF MARYLAND BALTIMORE · PI DORSEY, SUSAN G, RENN, CYNTHIA L · 2019 to 2022
$2.5M
NINR NIH HHS R01 NR018595
6 · The paper itself

Abstract

Chronic low back pain is one of the most common, costly, and debilitating pain conditions worldwide. Increased mechanistic understanding of the transition from acute to chronic low back and identification of predictive biomarkers could enhance the clinical assessment performed by healthcare providers and enable the development of targeted treatment to prevent and/or better manage chronic low back pain. This study protocol was designed to identify the neurological and transcriptomic biomarkers predictive of chronic low back pain at low back pain onset. This is a prospective descriptive longitudinal inception cohort study that will follow 340 individuals with acute low back pain and 40 healthy controls over 2 years. To analyze the neurophysiological and transcriptomic biomarkers of low back pain, the protocol includes psychological and pain-related survey data that will be collected beginning within 6 weeks of low back pain onset (baseline, 6, 12, 24, 52 weeks, and 2 years) and remotely at five additional time points (8, 10, 16, 20 weeks, and 18 months). Quantitative sensory testing and collection of blood samples for RNA sequencing will occur during the six in-person visits. The study results will describe variations in the neurophysiological and transcriptomic profiles of healthy pain-free controls and individuals with low back pain who either recover to pain-free status or develop chronic low back pain.

Indexed as

BiomarkersCase-Control StudiesChronic PainCohort StudiesHumansLongitudinal StudiesLow Back PainNursing ResearchPain MeasurementProspective StudiesTranscriptomeBiomarkersacute painchronic painlow back painpain sensitivityphenotypingtranscriptomics

Identifiers

PMID34866207
PMCPMC8792278
OpenAlexW4200444448

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.