Evidence map›Paper›PMID 39483841›Full record

ArticleJournal of craniovertebral junction & spine

Demographics in the context of health-care delivery for C1 and C2 fractures.

Lauren C Ladehoff, Kevin T Root, Marco Foreman, Jeffrey B Brown, Paul Bryce Webb, Michael J Diaz, Kamil Taneja, Karan Patel, Brandon Lucke-Wold, Robert P Wessel

Abstract read
In one paragraph

Article in Journal of craniovertebral junction & spine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Lauren C LadehoffUniversity of South Florida Morsani College of Medicine, Tampa, FL, USA.
Kevin T RootUniversity of Florida College of Medicine, Gainesville, FL, USA.
Marco ForemanUniversity of Florida College of Medicine, Gainesville, FL, USA.
Jeffrey B BrownUniversity of South Florida Morsani College of Medicine, Tampa, FL, USA.
Paul Bryce WebbUniversity of South Florida Morsani College of Medicine, Tampa, FL, USA.
Michael J DiazUniversity of Florida College of Medicine, Gainesville, FL, USA.
Kamil TanejaStony Brook University Renaissance School of Medicine, Stony Brook, NY, USA.
Karan PatelRowan University Cooper Medical School, Camden, NJ, USA.
Brandon Lucke-WoldUniversity of Florida Department of Neurosurgery, Gainesville, FL, USA.
Robert P WesselLehigh Valley Orthopedic Institute, Allentown, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Atlas and axis fractures are the most severe cervical fractures which may result in complete paralysis or death. The purpose of the current study is to identify disparities regarding length of stay (LOS), mortality, and demographic factors in patients with the most serious cervical spine fractures utilizing a nationally representative database. Materials and Methods: The Nationwide Emergency Department Sample was utilized to provide a representative sample for patients with a primary diagnosis of C1 or C2 fracture presenting to emergency departments in years from October 2015 to December 2019. A multivariable logistic regression model was used to estimate LOS for different patient demographics, including gender, race, and age. Results: A weighted sample of 7,262,791 patients presented to emergency rooms in the United States between 2015 and 2019. The mean age at admission was 76 years old, 52.6% of patients were female, and 83.0% identified as white. Patients between 45 and 65 and patients over 65 were significantly more likely to have an increased LOS. Women were less likely to have an increased LOS than men. Patients identifying as Black were significantly more likely to have increased LOS over white patients. In addition, patients who had an increased LOS were more likely to die in the hospital than patients with a shorter LOS. Conclusion: This study provides patient characteristics that help providers determine patient risk factors for increased hospital LOS and in-hospital mortality for those suffering from C1 and C2 fractures. Clinicians should be made aware of these disparities to allow equitable delivery of care.

Indexed as

Cervical fracturedemographicsspine

Identifiers

PMID39483841
PMCPMC11524566

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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.