Evidence map›Paper›PMID 33712658›Full record

SynthesisScientific reports2021

A systematic review of movement and muscular activity biomarkers to discriminate non-specific chronic low back pain patients from an asymptomatic population.

Florent Moissenet, Kevin Rose-Dulcina, Stéphane Armand, Stéphane Genevay

Registry-linked trialOpen access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07176845 (Exploring Multidimensional Trajectories in People With Low Back Pain), which is not on this map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
5.3field-weighted citation impact, top 4% 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.

NCT07176845 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

Exploring Multidimensional Trajectories in People With Low Back Pain

TypeobservationalSponsorBern University of Applied SciencesRan2025 to 2028Enrolled600ConditionsAcute Low Back Pain, Chronic Low Back Pain (CLBP)ArmsObservational
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 3 syntheses or guidelines pooled it, 48 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

4 authors at 2 institutions in 1 country.

Florent MoissenetKinesiology Laboratory, University of Geneva and Geneva University Hospitals, Geneva, Switzerland. florent.moissenet@unige.ch.
Kevin Rose-DulcinaKinesiology Laboratory, University of Geneva and Geneva University Hospitals, Geneva, Switzerland.
Stéphane ArmandKinesiology Laboratory, University of Geneva and Geneva University Hospitals, Geneva, Switzerland.
Stéphane GenevayDepartment of Rheumatology, Geneva University Hospitals, Geneva, Switzerland.
University Hospital of Geneva · CHUniversity of Geneva · CH

Funding

Eli Lilly and Company Global Awards for Advancing Chronic Pain Research (ADVANCE) N°WI243647Pfizer Global Awards for Advancing Chronic Pain Research (ADVANCE) N°WI243647
6 · The paper itself

Abstract

The identification of relevant and valid biomarkers to distinguish patients with non-specific chronic low back pain (NSCLBP) from an asymptomatic population in terms of musculoskeletal factors could contribute to patient follow-up and to evaluate therapeutic strategies. Several parameters related to movement and/or muscular activity impairments have been proposed in the literature in that respect. In this article, we propose a systematic and comprehensive review of these parameters (i.e. potential biomarkers) and related measurement properties. This systematic review (PROSPERO registration number: CRD42020144877) was conducted in Medline, Embase, and Web of Knowledge databases until July 2019. In the included studies, all movements or muscular activity parameters having demonstrated at least a moderate level of construct validity were defined as biomarkers, and their measurement properties were assessed. In total, 92 studies were included. This allowed to identify 121 movement and 150 muscular activity biomarkers. An extensive measurement properties assessment was found in 31 movement and 14 muscular activity biomarkers. On the whole, these biomarkers support the primary biomechanical concepts proposed for low back pain. However, a consensus concerning a robust and standardised biomechanical approach to assess low back pain is needed.

Indexed as

BiomarkersChronic PainGeographyHumansLow Back PainMovementMusclesBiomarkers

Identifiers

PMID33712658
PMCPMC7955136
OpenAlexW3133567434

What OpenQuestion holds

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Registered trials

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.