Evidence map›Paper›PMID 35000325›Full record

ArticleNeurospine2021

Demographic Predictors of Treatment and Complications for Spinal Disorders: Part 2, Lumbar Spine Trauma.

Omar Al Jammal, Julian Gendreau, Bejan Alvandi, Neal A Patel, Nolan J Brown, Shane Shahrestani, Brian V Lien, Arash Delavar, Katelynn Tran, Ronald Sahyouni and 3 more

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurospine, 2021. 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
0.2field-weighted citation impact, top 48% 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, 2 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

13 authors at 6 institutions in 1 country.

Omar Al JammalDepartment of Neurosurgery, University of California San Diego School of Medicine, San Diego, CA, USA.
Julian GendreauWhiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA.
Bejan AlvandiDepartment of Orthopaedic Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Neal A PatelDepartment of Neurosurgery, Mercer University School of Medicine, Savannah, GA, USA.
Nolan J BrownDepartment of Neurosurgery, University of California Irvine, Orange, CA, USA.
Shane ShahrestaniKeck School of Medicine of the University of Southern California, Los Angeles, CA, USA.
Brian V LienDepartment of Neurosurgery, University of California Irvine, Orange, CA, USA.
Arash DelavarDepartment of Neurosurgery, University of California San Diego School of Medicine, San Diego, CA, USA.
Katelynn TranDepartment of Neurosurgery, University of California Irvine, Orange, CA, USA.
Ronald SahyouniDepartment of Neurosurgery, University of California San Diego School of Medicine, San Diego, CA, USA.
Luis Daniel Diaz-AguilarDepartment of Neurosurgery, University of California San Diego School of Medicine, San Diego, CA, USA.
Kevin GilbertDepartment of Neurosurgery, University of California San Diego School of Medicine, San Diego, CA, USA.
Martin H PhamDepartment of Neurosurgery, University of California San Diego School of Medicine, San Diego, CA, USA.
University of California San Diego · USUniversity of California, Irvine · USJohns Hopkins University · USMercer University · USNorthwestern University · USUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo study the impact of demographic factors on management of traumatic injury to the lumbar spine and postoperative complication rates.

methodsData was obtained from the National Inpatient Sample (NIS) between 2010-2014. International Classification of Diseases, 9th revision, Clinical Modification codes identified patients diagnosed with lumbar fractures or dislocations due to trauma. A series of multivariate regression models determined whether demographic variables predicted rates of complication and revision surgery.

resultsA total of 38,249 patients were identified. Female patients were less likely to receive surgery and to receive a fusion when undergoing surgery, had higher complication rates, and more likely to undergo revision surgery. Medicare and Medicaid patients were less likely to receive surgical management for lumbar spine trauma and less likely to receive a fusion when operated on. Additionally, we found significant differences in surgical management and postoperative complication rates based on race, insurance type, hospital teaching status, and geography.

conclusionSubstantial differences in the surgical management of traumatic injury to the lumbar spine, including postoperative complications, among individuals of demographic factors such as age, sex, race, primary insurance, hospital teaching status, and geographic region suggest the need for further studies to understand how patient demographics influence management and complications for traumatic injury to the lumbar spine.

Indexed as

DecompressionFusionLumbar spine traumaNational Inpatient SampleTrauma

Identifiers

PMID35000325
PMCPMC8752708
OpenAlexW4200422613

What OpenQuestion holds

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LicenceCC BY-NC
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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.