Evidence map›Paper›PMID 37046063›Full record

ArticleWorld journal of surgery2023

Surgical Treatment at an Academic Medical Center is Associated with Statistically Insignificant Lung Cancer Survival Outcome Differences Related to ZIP Code.

Jack Wish, Jonathan Villena-Vargas, Sebron Harrison, Ben Lee, Oliver Chow, Jeffrey Port, Nasser Altorki, Brendon M Stiles

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Article in World journal of surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jack WishDepartment of Cardiothoracic Surgery, Weill Cornell Medical Center, 525 East 68th Street, New York, NY, 10065, USA. Jack.Wish@tufts.edu.
Jonathan Villena-VargasDepartment of Cardiothoracic Surgery, Weill Cornell Medical Center, 525 East 68th Street, New York, NY, 10065, USA.
Sebron HarrisonDepartment of Cardiothoracic Surgery, Weill Cornell Medical Center, 525 East 68th Street, New York, NY, 10065, USA.
Ben LeeDepartment of Cardiothoracic Surgery, Weill Cornell Medical Center, 525 East 68th Street, New York, NY, 10065, USA.
Oliver ChowDepartment of Cardiothoracic Surgery, Weill Cornell Medical Center, 525 East 68th Street, New York, NY, 10065, USA.
Jeffrey PortDepartment of Cardiothoracic Surgery, Weill Cornell Medical Center, 525 East 68th Street, New York, NY, 10065, USA.
Nasser AltorkiDepartment of Cardiothoracic Surgery, Weill Cornell Medical Center, 525 East 68th Street, New York, NY, 10065, USA.
Brendon M StilesDepartment of Cardiothoracic Surgery, Weill Cornell Medical Center, 525 East 68th Street, New York, NY, 10065, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLow socioeconomic status is a well-characterized adverse prognostic factor in large lung cancer databases. However, such characterizations may be confounded as patients of lower socioeconomic status are more often treated at low-volume, non-academic centers. We evaluated whether socioeconomic status, as defined by ZIP code median income, was associated with differences in lung cancer resection outcomes within a high-volume academic medical center.

methodsConsecutive patients undergoing resection for non-small cell lung cancer were identified from a prospectively maintained database (2011-18). Patients were assigned an income value based on the median income of their ZIP code as determined by census-based geographic data. We stratified the population into income quintiles representative of SES and compared demographics (chi-square), surgical outcomes, and survival (Kaplan-Meier).

resultsWe identified 1,693 patients, representing 516 ZIP codes. Income quintiles were Q1: $24,421-53,151; Q2:$53,152-73,982; Q3:$73,983-99,063; Q4:$99,064-123,842; and Q5:$123,843-250,001. Compared to Q5 patients, Q1 patients were younger (median 69 vs. 73, p < 0.001), more likely male (44 vs. 36%, p = 0.035), and more likely Asian, Black, or self-identified as other than white, Asian, or Black. (67 vs. 11%, p =  < 0.001). We found minor differences in surgical outcomes and no significant difference in 5-year survival between Q1 and Q5 patients (5-year: 86 vs. 85%, p = 0.886).

conclusionsSurgical care patterns at a high-volume academic medical center are similar among patients from varying ZIP codes. Surgical treatment at such a center is associated with no survival differences based upon socioeconomic status as determined by ZIP code. Centralization of lung cancer surgical care to high-volume centers may reduce socioeconomic outcome disparities.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsHumansIncomeMaleSocial Class

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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.