Evidence map›Paper›PMID 39061381›Full record

ArticleBrain sciences2024

Investigating Whether a Combination of Electro-Encephalography and Gene Expression Profiling Can Predict the Risk of Chronic Pain: A Protocol for an Observational Prospective Cohort Study.

Ann-Christin Sannes, Usman Ghani, Imran Khan Niazi, Torgeir Moberget, Rune Jonassen, Heidi Haavik, Johannes Gjerstad

Abstract read
In one paragraph

Article in Brain sciences, 2024. 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

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.

  1. Article
  2. Article
  3. Review
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

7 authors.

Ann-Christin SannesFaculty of Health Science, Oslo Metropolitan University, 0890 Oslo, Norway.ORCID 0000-0002-3918-8149
Usman GhaniCentre for Chiropractic Research, New Zealand College of Chiropractic, Auckland 1060, New Zealand.
Imran Khan NiaziCentre for Chiropractic Research, New Zealand College of Chiropractic, Auckland 1060, New Zealand.ORCID 0000-0001-8752-7224
Torgeir MobergetFaculty of Health Sciences, Kristiania University College, 0107 Oslo, Norway.
Rune JonassenFaculty of Health Science, Oslo Metropolitan University, 0890 Oslo, Norway.
Heidi HaavikCentre for Chiropractic Research, New Zealand College of Chiropractic, Auckland 1060, New Zealand.ORCID 0000-0001-7182-2085
Johannes GjerstadDepartment for Research and Development in Mental Health, Akershus University Hospital, 1474 Lørenskog, Norway.

Funding

OsloMet - Oslo Metropolitan University not applicable
6 · The paper itself

Abstract

Despite most episodes of low back pain (LBP) being short-lasting, some transition into persistent long-lasting problems. Hence, the need for a deeper understanding of the physiological mechanisms of this is pertinent. Therefore, the aims of the present study are (1) to map pain-induced changes in brain activity and blood gene expression associated with persistent LBP, and (2) to explore whether these brain and gene expression signatures show promise as predictive biomarkers for the development of persistent LBP. The participants will be allocated into three different pain groups (no pain, mild short-lasting, or moderate long-term). One in-person visit, where two blood samples will be collected and sent for RNA sequencing, along with resting 64-channel electro-encephalography measurements before, during, and after a cold pressor test, will be conducted. Thereafter, follow-up questionnaires will be distributed at 2 weeks, 3 months, and 6 months. Recruitment will start during the second quarter of 2024, with expected completion by the last quarter of 2024. The results are expected to provide insight into the relationship between central nervous system activity, gene expression profiles, and LBP. If successful, this study has the potential to provide physiological indicators that are sensitive to the transition from mild, short-term LBP to more problematic, long-term LBP.

Indexed as

electro-encephalography (EEG)low back painRNA sequencing

Identifiers

PMID39061381
PMCPMC11274615

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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.