Evidence map›Paper›PMID 41007146›Full record

ReviewBioengineering (Basel, Switzerland)2025

Bioengineering Support in the Assessment and Rehabilitation of Low Back Pain.

Giustino Varrassi, Matteo Luigi Giuseppe Leoni, Ameen Abdulhasan Al-Alwany, Piercarlo Sarzi Puttini, Giacomo Farì

Abstract readReview
In one paragraph

Review in Bioengineering (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. 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

5 authors.

Giustino VarrassiFondazione Paolo Procacci, 00193 Roma, Italy.ORCID 0000-0002-3822-2923
Matteo Luigi Giuseppe LeoniDepartment of Medical and Surgical Sciences and Translational Medicine, "La Sapienza" University of Roma, 00135 Roma, Italy.ORCID 0000-0001-5228-3733
Ameen Abdulhasan Al-AlwanyCollege of Medicine, University of Baghdad, Baghdad 10071, Iraq.ORCID 0000-0002-3535-4023
Piercarlo Sarzi PuttiniDepartment of Rheumatology, University of Milano, 20122 Milano, Italy.ORCID 0000-0002-8673-5133
Giacomo FarìDepartment of Experimental Medicine, University of Salento, 73100 Lecce, Italy.ORCID 0000-0001-9953-5635

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low back pain (LBP) remains one of the most prevalent and disabling musculoskeletal conditions globally, with profound social, economic, and healthcare implications. The rising incidence and chronic nature of LBP highlight the need for more objective, personalized, and effective approaches to assessment and rehabilitation. In this context, bioengineering has emerged as a transformative field, offering novel tools and methodologies that enhance the understanding and management of LBP. This narrative review examines current bioengineering applications in both diagnostic and therapeutic domains. For assessment, technologies such as wearable inertial sensors, three-dimensional motion capture systems, surface electromyography, and biomechanical modeling provide real-time, quantitative insights into posture, movement patterns, and muscle activity. On the therapeutic front, innovations including robotic exoskeletons, neuromuscular electrical stimulation, virtual reality-based rehabilitation, and tele-rehabilitation platforms are increasingly being integrated into multimodal treatment protocols. These technologies support precision medicine by tailoring interventions to each patient's biomechanical and functional profile. Furthermore, the incorporation of artificial intelligence into clinical workflows enables automated data analysis, predictive modeling, and decision support systems, while future directions such as digital twin technology hold promise for personalized simulation and outcome forecasting. While these advancements are promising, further validation in large-scale, real-world settings is required to ensure safety, efficacy, and equitable accessibility. Ultimately, bioengineering provides a multidimensional, data-driven framework that has the potential to significantly improve the assessment, rehabilitation, and overall management of LBP.

Indexed as

artificial intelligencebioengineeringelectromyographylow back painrehabilitationvirtual realitywearable sensors

Identifiers

PMID41007146
PMCPMC12467509

What OpenQuestion holds

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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.