Evidence map›Paper›PMID 39041612›Full record

ArticleJournal of neurotrauma2024

Shifting Trends in the Epidemiology of Cervical Spine Injuries: An Analysis of 11,822 Patients from the National Electronic Injury Surveillance System over Two Decades.

Brittany Grace Futch, Andreas Seas, Favour Ononogbu-Uche, Shahenda Khedr, Judah Kreinbrook, Christopher I Shaffrey, Theresa Williamson, James David Guest, Michael G Fehlings, Muhammad M Abd-El-Barr and 1 more

Abstract read
In one paragraph

Article in Journal of neurotrauma, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

11 authors.

Brittany Grace FutchDepartment of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA.
Andreas SeasDepartment of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA.ORCID 0000-0003-0624-1254
Favour Ononogbu-UcheDepartment of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA.
Shahenda KhedrDepartment of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA.
Judah KreinbrookDepartment of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA.
Christopher I ShaffreyDepartment of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA.
Theresa WilliamsonDepartment of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts, USA.
James David GuestDepartment of Neurosurgery, The Miller School of Medicine, University of Miami, Miami, Florida, USA.
Michael G FehlingsDepartment of Surgery, University of Toronto, Toronto, Canada.ORCID 0000-0002-5722-6364
Muhammad M Abd-El-BarrDepartment of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA.
Norah A FosterDepartment of Orthopedics, Miami Valley Hospital, Centerville, Ohio, USA.

Funding

Medical Scientist Training Program Training GrantT32GM145449 · NIGMS · DUKE UNIVERSITY · PI Christopher D Kontos · 2022 to 2026
$6.6M
NIGMS NIH HHS T32 GM145449
6 · The paper itself

Abstract

Cervical spine injuries (CSIs) are heterogeneous in nature and often lead to long-term disability and morbidity. However, there are few recent and comprehensive epidemiological studies on CSI. The objective of this study was to characterize recent trends in CSI patient demographics, incidence, etiology, and injury level. The National Electronic Injury Surveillance System was used to extract data on CSIs from 2002 to 2022. Weighted national estimates of CSI incidence were computed using yearly population estimates interpolated from U.S. census data. Data analysis involved extracting additional information from patient narratives to categorize injury etiology (i.e., fall) and identify CSI level. K-means clustering was performed on cervical levels to define upper versus lower cervical injuries. Appropriate summary statistics including mean with 95% confidence intervals and frequency were reported for age, sex, race, ethnicity, etiology, and disposition. Age between groups was compared using an independent weighted

Indexed as

Cervical VertebraeAdolescentAdultAgedAged, 80 and overChildChild, PreschoolFemaleHumansIncidenceInfantMaleMiddle AgedPopulation SurveillanceSpinal InjuriesUnited Statescervical spine injuryepidemiologyfracturespinetrauma

Identifiers

PMID39041612
PMCPMC13178689

What Socratic 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 Socratic graph.