Evidence map›Paper›PMID 37765752›Full record

SynthesisSensors (Basel, Switzerland)2023

The Use of Sensors to Prevent, Predict Transition to Chronic and Personalize Treatment of Low Back Pain: A Systematic Review.

Pablo Herrero, Izarbe Ríos-Asín, Diego Lapuente-Hernández, Luis Pérez, Sandra Calvo, Marina Gil-Calvo

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. 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 3 institutions in 1 country.

Pablo HerreroIIS Aragon-iHealthy Research Group, C. de San Juan Bosco, 13, 50009 Zaragoza, Spain.ORCID 0000-0002-9201-0120
Izarbe Ríos-AsínDepartment of Physiatry and Nursing, Faculty of Health Sciences, University of Zaragoza, C. de Domingo Miral, S/N, 50009 Zaragoza, Spain.
Diego Lapuente-HernándezIIS Aragon-iHealthy Research Group, C. de San Juan Bosco, 13, 50009 Zaragoza, Spain.ORCID 0000-0002-6506-6081
Luis PérezIIS Aragon-iHealthy Research Group, C. de San Juan Bosco, 13, 50009 Zaragoza, Spain.ORCID 0009-0007-7701-9884
Sandra CalvoIIS Aragon-iHealthy Research Group, C. de San Juan Bosco, 13, 50009 Zaragoza, Spain.ORCID 0000-0002-1674-7788
Marina Gil-CalvoIIS Aragon-iHealthy Research Group, C. de San Juan Bosco, 13, 50009 Zaragoza, Spain.ORCID 0000-0003-4792-1782
Universidad de Zaragoza · ESInstituto de Investigación Sanitaria Aragón · ESUniversidad de Granada · ES

Funding

FEDER/Aragon Government - Dept. of Science, University, and the Knowledge Society LMP97_21
6 · The paper itself

Abstract

Non-specific low back pain (NSLBP) is a highly prevalent condition that implies substantial expenses and affects quality of life in terms of occupational and recreational activities, physical and psychological health, and general well-being. The diagnosis and treatment are challenging processes due to the unknown underlying causes of the condition. Recently, sensors have been included in clinical practice to implement its management. In this review, we furthered knowledge about the potential benefits of sensors such as force platforms, video systems, electromyography, or inertial measure systems in the assessment process of NSLBP. We concluded that sensors could identify specific characteristics of this population like impaired range of movement, decreased stability, or disturbed back muscular activation. Sensors could provide sufferers with earlier diagnosis, prevention strategies to avoid chronic transition, and more efficient treatment approaches. Nevertheless, the review has limitations that need to be considered in the interpretation of results.

Indexed as

Low Back PainHumansPain MeasurementQuality of Lifebiomedical technologylow back painoutcome assessmentsensorsystematic review

Identifiers

PMID37765752
PMCPMC10534870
OpenAlexW4386475959

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.