Evidence map›Paper›PMID 34734132›Full record

ArticleJournal of spine surgery (Hong Kong)2021

Influence of psychosocial and sociodemographic factors in the surgical management of traumatic cervicothoracic spinal cord injury at level I and II trauma centers in the United States.

Matthew J Hagan, Nathan J Pertsch, Owen P Leary, Bryan Zheng, Joaquin Q Camara-Quintana, Tianyi Niu, Kyle Mueller, Zain Boghani, Albert E Telfeian, Ziya L Gokaslan and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of spine surgery (Hong Kong), 2021. 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
1.9field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

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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

12 authors at 3 institutions in 1 country.

Matthew J HaganThe Warren Alpert School of Medicine, Brown University, Providence, RI, USA.
Nathan J PertschThe Warren Alpert School of Medicine, Brown University, Providence, RI, USA.
Owen P LearyThe Warren Alpert School of Medicine, Brown University, Providence, RI, USA.
Bryan ZhengThe Warren Alpert School of Medicine, Brown University, Providence, RI, USA.
Joaquin Q Camara-QuintanaThe Warren Alpert School of Medicine, Brown University, Providence, RI, USA.
Tianyi NiuThe Warren Alpert School of Medicine, Brown University, Providence, RI, USA.
Kyle MuellerThe Warren Alpert School of Medicine, Brown University, Providence, RI, USA.
Zain BoghaniThe Warren Alpert School of Medicine, Brown University, Providence, RI, USA.
Albert E TelfeianThe Warren Alpert School of Medicine, Brown University, Providence, RI, USA.
Ziya L GokaslanThe Warren Alpert School of Medicine, Brown University, Providence, RI, USA.
Adetokunbo A OyeleseThe Warren Alpert School of Medicine, Brown University, Providence, RI, USA.
Jared S FridleyThe Warren Alpert School of Medicine, Brown University, Providence, RI, USA.
Brown University · USProvidence College · USRhode Island Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocioeconomic factors can bias clinician decision-making in many areas of medicine. Psychosocial characteristics such as diagnosis of alcoholism, substance abuse, and major psychiatric disorder are emerging as potential sources of conscious and unconscious bias. We hypothesized that these psychosocial factors, in addition to socioeconomic factors, may impact the decision to operate on patients with a traumatic cervicothoracic fracture and associated spinal cord injury (SCI).

methodsWe performed a cohort analysis using clinical data from 2012-2016 in the American College of Surgeons (ACS) National Trauma Data Bank at academic level I and II trauma centers. Patients were eligible if they had a diagnosis of cervicothoracic fracture with SCI. Using ICD codes, we evaluated baseline characteristics including race; insurance status; diagnosis of alcoholism, substance abuse, or major psychiatric disorder; admission drug screen and blood alcohol level; injury characteristics and severity; and hospital characteristics including geographic region, non-profit status, university affiliation, and trauma level. Factors significantly associated with surgical intervention in univariate analysis were eligible for inclusion in multivariate logistic regression.

resultsWe identified 6,655 eligible patients, of whom 62% underwent surgical treatment (n=4,137). Patients treated non-operatively were more likely to be older; be female; be Black or Hispanic; have Medicare, Medicaid, or no insurance; have been assaulted; have been injured by a firearm; have thoracic fracture; have less severe injuries; have severe TBI; be treated at non-profit hospitals; and be in the Northeast or Western U.S. (all P<0.01). After adjusting for confounders in multivariate analysis, only insurance status remained associated with operative treatment. Medicaid patients (OR=0.81; P=0.021) and uninsured patients (OR=0.63; P<0.001) had lower odds of surgery relative to patients with private insurance. Injury severity and facility characteristics also remained significantly associated with surgical management following multivariate regression.

conclusionsPsychosocial characteristics such as diagnosis of alcoholism, substance abuse, or psychiatric illness do not appear to bias the decision to operate after traumatic cervicothoracic fracture with SCI. Baseline sociodemographic imbalances were explained largely by insurance status, injury, and facility characteristics in multivariate analysis.

Indexed as

insuranceracesocioeconomic statusspinal cord injury (SCI)Trauma

Identifiers

PMID34734132
PMCPMC8511562
OpenAlexW3196632169

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.