Evidence map›Paper›PMID 37692185›Full record

ArticleCureus2023

Examination and Scientific Analysis of Thoracic Vertebral Fractures.

Gurbinder Singh, Varun Rao, Aish Thamba, Dylan Roth, Mohamed A Zaazoue

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2023. 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
0.3field-weighted citation impact, top 38% 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, 1 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

5 authors at 3 institutions in 1 country.

Gurbinder SinghDepartment of Orthopaedic Surgery, University of California San Francisco, San Francisco, USA.
Varun RaoDepartment of Neurological Surgery, Indiana University School of Medicine, Indianapolis, USA.
Aish ThambaDepartment of Neurological Surgery, Indiana University School of Medicine, Indianapolis, USA.
Dylan RothDepartment of Neurological Surgery, Indiana University School of Medicine, Indianapolis, USA.
Mohamed A ZaazoueDepartment of Neurological Surgery, Indiana University School of Medicine, Indianapolis, USA.
University of California, San Francisco · USIndiana University School of MedicineNeurological Surgery · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Thoracic vertebral fractures are clinically important due to their association with the thoracic spinal cord and the potential to cause devastating neurological injury. Using the National Electronic Injury Surveillance System (NEISS) data, this study investigated fracture patterns to understand associated factors to improve prevention strategies. We explored different factors associated with thoracic vertebral fractures to improve our understanding of preventative strategies and patient care standards, focusing on spatial distribution, sex-age dynamics, and location of injury. Methodology This retrospective, cross-sectional study examines thoracic vertebral fractures across diverse age groups from 2013 to 2022, utilizing the NEISS database from the U.S. Consumer Product Safety Commission. Inclusion criteria based on specific terms related to thoracic fractures were employed. Descriptive statistics illustrated fracture distribution by age groups and associated products. Statistical analyses, including chi-square tests and multivariate logistic regressions, were conducted to explore associations between fracture occurrence, locations, products, age, and gender. Results The analysis of thoracic vertebral fractures by location and associated products yielded several statistically significant findings. Notably, the prevalence of fractures at home (39.67%) was significantly higher than in other locations, and these differences in fracture distribution were statistically significant (χ² = 7.34, p < 0.001). Among the associated products, ladders (10.46%) emerged as the most frequent product associated with fractures. Multivariate logistic regression analysis showed that the age groups of 41-50, 51-60, and 61-70 had increased odds of fractures with adjusted odds ratios (AORs) of 1.08 (95% confidence interval (CI) = 1.04-1.42, p < 0.05), 1.21 (95% CI = 1.13-1.56, p < 0.001), and 1.17 (95% CI = 1.08-1.39, p < 0.001), respectively. The likelihood of thoracic vertebral fractures did not significantly differ between males and females (AOR = 1.12, 95% CI = 0.87-1.53, p = 0.262). Fracture distribution by age groups and products indicated increasing ladder-related fractures within the 41-50 age group and 51-60 age group. Football-related fractures peaked within the 21-30 age group. Fracture distribution patterns for bicycles had increased prevalence within the 11-20 and 21-30 age groups, and football-related fractures in younger age groups. Conclusions This study analyzed factors associated with thoracic vertebral fractures, showing the significance of targeted preventative interventions, such as earlier screening, physical therapy, and nutritional status assessment, in the setting of significant location and age-related susceptibilities. The observed patterns of injury provide a foundation for future research to elucidate the underlying mechanisms between different environments and the likelihood of injury to improve preventive strategies.

Indexed as

injury epidemiologyinjury riskpreventative carethoracic vertebravertebral fracture

Identifiers

PMID37692185
PMCPMC10492182
OpenAlexW4386570414

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.