Evidence map›Paper›PMID 39523283›Full record

ReviewAdvances in experimental medicine and biology2024

Artificial Intelligence in Spine and Paraspinal Muscle Analysis.

James M Elliott, Evert O Wesselink, Rebecca J Crawford, Jon Cornwall, Marnee McKay, Zachary Smith, Kenneth A Weber

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

James M ElliottFaculty of Medicine and Health, The University of Sydney, Northern Sydney Local Health District, The Kolling Institute, St Leonards, NSW, Australia. jim.elliott@sydney.edu.au.
Evert O WesselinkFaculty of Behavioural and Movement Sciences, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Rebecca J Crawfordeugalyptus GmbH, Baar, Switzerland.
Jon CornwallCentre for Early Learning in Medicine, Otago Medical School, University of Otago, Dunedin, New Zealand.
Marnee McKayFaculty of Medicine and Health, School of Health Sciences, Division of Physiotherapy, The University of Sydney, Camperdown, NSW, Australia.
Zachary SmithUniversity of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Kenneth A WeberDivision of Pain Medicine, Department of Anaesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Disorders affecting the neurological and musculoskeletal systems represent international health burdens. A significant impediment to progress with interventional trials is the absence of responsive, objective, and valid outcome measures sensitive to early disease or disorder change. A key finding in individuals with spinal disorders is compositional changes to the paraspinal muscle and soft tissue (e.g., intervertebral disc, facet joint capsule, and ligamentous) structure. Quantification of paraspinal muscle composition by MRI has emerged as a sensitive marker for the severity of these conditions; however, little is known about the composition of muscles across the lifespan. Knowledge of what is "typical" age-related muscle composition is essential in order to accurately identify and evaluate "atypical," with a potential impact being improvements in pre- and postsurgical plan and measurement of surgical implants, exoskeletons, and care on a patient-by-patient basis.

Indexed as

Artificial IntelligenceMagnetic Resonance ImagingParaspinal MusclesSpineHumansSpinal DiseasesBiological agingConvolutional neural networksMRISkeletal muscleSpine

Identifiers

PMID39523283

What OpenQuestion holds

Textmetadata
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.