Socioeconomic Predictors of Pituitary Surgery.

health determinants pituitary pituitary adenoma race socioeconomic status surgery

Journal

Cureus
ISSN: 2168-8184
Titre abrégé: Cureus
Pays: United States
ID NLM: 101596737

Informations de publication

Date de publication:
25 Jan 2019
Historique:
entrez: 9 4 2019
pubmed: 9 4 2019
medline: 9 4 2019
Statut: epublish

Résumé

There exists a lack of data on the effect of socioeconomic status (SES) on outcomes for pituitary tumors, which have been associated with significant morbidity. The goal of this population-level study is to investigate the role of SES on receiving treatment and survival in patients with pituitary tumors. The Surveillance, Epidemiology, and End Results (SEER) program database from the National Cancer Institute was used to identify patients diagnosed with pituitary tumors between 2003 and 2012. SES was determined using a validated composite index. Race was categorized as Caucasian and non-Caucasian. Treatment received included surgery, radiation, and radiation with surgery. Odds of receiving surgery and survival probability were analyzed using multivariate logistic regression and Cox proportional hazards model, respectively. A total of 25,802 patients with pituitary tumors were identified for analysis. High SES tertile (odds ratio (OR) = 1.095; 95% confidence interval (CI) [1.059, 1.132]) and quintile (OR = 1.052; 95% CI [1.031, 1.072]) were associated with higher odds of receiving surgery (p<0.0001). Caucasian patients had higher odds of receiving surgery when compared to non-Caucasian patients (OR = 1.064; 95% CI [1.000, 1.133]; p<0.05). Neither SES nor race were significant predictors of survival probability. Socioeconomic status and race were found to be associated with higher odds of receiving surgery for pituitary tumors, and thus serve as independent predictors of surgical management. Further studies are required to investigate possible causes for these findings.

Sections du résumé

BACKGROUND BACKGROUND
There exists a lack of data on the effect of socioeconomic status (SES) on outcomes for pituitary tumors, which have been associated with significant morbidity. The goal of this population-level study is to investigate the role of SES on receiving treatment and survival in patients with pituitary tumors.
METHODS METHODS
The Surveillance, Epidemiology, and End Results (SEER) program database from the National Cancer Institute was used to identify patients diagnosed with pituitary tumors between 2003 and 2012. SES was determined using a validated composite index. Race was categorized as Caucasian and non-Caucasian. Treatment received included surgery, radiation, and radiation with surgery. Odds of receiving surgery and survival probability were analyzed using multivariate logistic regression and Cox proportional hazards model, respectively.
RESULTS RESULTS
A total of 25,802 patients with pituitary tumors were identified for analysis. High SES tertile (odds ratio (OR) = 1.095; 95% confidence interval (CI) [1.059, 1.132]) and quintile (OR = 1.052; 95% CI [1.031, 1.072]) were associated with higher odds of receiving surgery (p<0.0001). Caucasian patients had higher odds of receiving surgery when compared to non-Caucasian patients (OR = 1.064; 95% CI [1.000, 1.133]; p<0.05). Neither SES nor race were significant predictors of survival probability.
CONCLUSION CONCLUSIONS
Socioeconomic status and race were found to be associated with higher odds of receiving surgery for pituitary tumors, and thus serve as independent predictors of surgical management. Further studies are required to investigate possible causes for these findings.

Identifiants

pubmed: 30956910
doi: 10.7759/cureus.3957
pmc: PMC6436671
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e3957

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Sayantan Deb (S)

Neurosurgery, Stanford University School of Medicine, Stanford, USA.

Daivik B Vyas (DB)

Neurosurgery, Stanford University School of Medicine, Stanford, USA.

Arjun V Pendharkar (AV)

Neurosurgery, Stanford University School of Medicine, Stanford, USA.

Paymon G Rezaii (PG)

Neurosurgery, Stanford University School of Medicine, Stanford, USA.

Matthew K Schoen (MK)

Neurosurgery, Stanford University School of Medicine, Stanford, USA.

Kaniksha Desai (K)

Internal Medicine, Stanford University School of Medicine, Stanford, USA.

Melanie H Gephart (MH)

Neurosurgery, Stanford University School of Medicine, Stanford, USA.

Atman Desai (A)

Neurosurgery, Stanford University School of Medicine, Stanford, USA.

Classifications MeSH