Evidence map›Paper›PMID 35096539›Full record

ArticleWorld journal of orthopedics2022

High-resolution, three-dimensional magnetic resonance imaging axial load dynamic study improves diagnostics of the lumbar spine in clinical practice.

Tomasz Lorenc, Marek Gołębiowski, Wojciech Michalski, Wojciech Glinkowski

Open access · diamondAbstract read
In one paragraph

Article in World journal of orthopedics, 2022. 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
0.9field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 7 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 2 countries.

Tomasz LorencI Department of Clinical Radiology, Medical University of Warsaw, Warsaw 02-004, Poland. tlorenc@wum.edu.pl.
Marek GołębiowskiI Department of Clinical Radiology, Medical University of Warsaw, Warsaw 02-004, Poland.
Wojciech MichalskiDepartment of Mathematical Oncology, Maria Skłodowska-Curie National Research Institute of Oncology, Warsaw 02-781, Poland.
Wojciech GlinkowskiCenter of Excellence "TeleOrto" for Telediagnostics and Treatment of Disorders and Injuries of the Locomotor System, Department of Medical Informatics and Telemedicine, Medical University of Warsaw, Warsaw 00-581, Poland.
Medical University of Warsaw · PLNational Institute of Oncology · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe response to axial physiological pressure due to load transfer to the lumbar spine structures is among the various back pain mechanisms. Understanding the spine adaptation to cumulative compressive forces can influence the choice of personalized treatment strategies.

aimTo analyze the impact of axial load on the spinal canal's size, intervertebral foramina, ligamenta flava and lumbosacral alignment.

methodsWe assessed 90 patients using three-dimensional isotropic magnetic resonance imaging acquisition in a supine position with or without applying an axial compression load. Anatomical structures were measured in the lumbosacral region from L1 to S1 in lying and axially-loaded magnetic resonance images. A paired

resultsAfter axial loading, the dural sac area decreased significantly, by 5.2% on average (4.1%, 6.2%,

conclusionAxial load exacerbates the narrowing of the spinal canal and intervertebral foramina from L1-L2 to L4-L5. Cumulative compressive forces thicken ligamenta flava and exaggerate lumbar lordosis.

Indexed as

Axial loadingDiagnosisLow back painLumbar spineMagnetic resonance imagingMusculoskeletal disorderSpine biomechanics

Identifiers

PMID35096539
PMCPMC8771416
OpenAlexW4206028558

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.