Evidence map›Paper›PMID 35106128›Full record

ArticleOrthopedic reviews2022

Spinal health in 40 patients in the initial stage of laboural life. Morfogeometric, biological and environmental study.

José Vicente Martínez Quiñones, José Aso Escario, Cristina Sebastián Sebastián, Ignacio Bares Fernández, Fabián Consolini Rossi, Ricardo Arregui Calvo

Open access · goldAbstract read
In one paragraph

Article in Orthopedic reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 84% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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.

José Vicente Martínez QuiñonesDepartment of Neurosurgery and Neurology, Hospital MAZ.
José Aso EscarioDepartment of Neurosurgery and Neurology, Hospital MAZ.
Cristina Sebastián SebastiánDepartment of Radiology, Hospital MAZ.
Ignacio Bares FernándezDepartment of Radiology, Hospital MAZ.
Fabián Consolini RossiDepartment of Neurosurgery and Neurology, Hospital MAZ.
Ricardo Arregui CalvoDepartment of Neurosurgery and Neurology, Hospital MAZ.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAssuming that spinal shape is a genetic expression, its analysis and acquired factors could assess their respective contribution to early spine deterioration. MATERIAL AND

methodsA geometric morphometric analysis was retrospectively performed on sagittal lumbar MRI of young patients with back pain to identify lumbar spine shape changes. Using Geometric Morphometrics, findings were analyzed with anthropometric, radiological, and clinical variables.

results80 cases under 26 years of age were collected, 55 men (mean age 22.81) and 25 women (mean age 23.24). MRI abnormalities were reported in 57.5%: single altered disc (N=17), root compromises (N=8), and transition anomalies (35%).In the non-normal MRI subgroup, shape variation included: increased lordosis, enlarged vertebral body, canal stenosis, and lumbarization of S1. In non-Spanish origin patients, lumbar straightening and segmental deformities were prevalent. Morphometrics findings showed that lumbosacral transition anomalies are frequently underreported.

conclusionsGenetic factors could be the main determinants of abnormality in MRIs under 26 years. The primary markers are transitional abnormalities, segmental deformities, and canal stenosis. In foreign populations, shape changes could suggest spine overload at an early age.

Indexed as

Geneticslumbar spine shape changesMorphometricsspine

Identifiers

PMID35106128
PMCPMC8801549
OpenAlexW4200562420

What OpenQuestion holds

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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.