In this article (Cancer Epidemiol Biomarkers Prev 2016;25:750–8), which appeared in the May 2016 issue of Cancer Epidemiology, Biomarkers and Prevention (1), the authors regret that the variable “Age at Diagnosis” in Table 1 had been labeled incorrectly. “Age at Diagnosis” has changed from “30–50; 51–64; 65–85” to “30–64; 65–74; 75–85.” The corrected table is found below:

Table 1.

Characteristics of the study population (N = 8,322)

CharacteristicsTotal, no. (%) or median (95% CI)White, no. (%) or median (95% CI)Black, no. (%) or median (95% CI)P
Study population 8,322 (100.0) 6,867 (82.5) 1,455 (17.5)  
Vital status    <0.001 
 Alive 2,987 (35.9) 2,528 (36.8) 459 (31.5)  
 Deceased 5,335 (64.1) 4,339 (63.2) 996 (68.5)  
Median death time (months) 31.3 (29.9–32.4) 32.2 (31.0–34.4) 26.4 (23.9–29.4)  
Gender    0.063 
 Male 4,610 (55.4) 3,772 (54.9) 838 (57.6)  
 Female 3,712 (44.6) 3,095 (45.1) 617 (42.4)  
Age at diagnosis    <0.001 
 30–64 3,157 (37.9) 2,439 (35.5) 718 (49.4)  
 65–74 3,090 (37.1) 2,636 (38.4) 454 (31.2)  
 75–85 2,075 (24.9) 1,792 (26.1) 283 (19.4)  
Tumor grade    <0.001 
 Well differentiated 722 (8.7) 613 (8.9) 109 (7.5)  
 Moderately differentiated 2,348 (28.2) 1,992 (29.0) 356 (24.5)  
 Poorly differentiated 2,411 (29.0) 2,000 (29.1) 411 (28.3)  
 Undifferentiated 264 (3.2) 222 (3.2) 42 (2.9)  
 Unknown 2,577 (31.0) 2,040 (29.7) 537 (36.9)  
Surgery    <0.001 
 No 3,619 (43.5) 2,843 (41.4) 776 (53.3)  
 Yes 4,703 (56.5) 4,024 (58.6) 679 (46.7)  
Place of residence    <0.001 
 Urban 4,468 (53.7) 3,503 (51.0) 965 (66.3)  
 Suburban 2,492 (29.9) 2,215 (32.3) 277 (19.0)  
 Rural 1,362 (16.4) 1,149 (16.7) 213 (14.6)  
Social environment (census tract-level)     
Educational attainmenta   <0.001  
 1st quartile (highest) 1,803 (21.7) 1,568 (22.8) 235 (16.2)  
 2 2,141 (25.7) 1,749 (25.5) 392 (26.9)  
 3 2,355 (28.3) 1,868 (27.2) 487 (33.5)  
 4th quartile 2,023 (24.3) 1,682 (24.5) 341 (23.4)  
Elderly concentrationb   <0.001  
 1st quartile (lowest) 1,881 (22.6) 1,568 (22.8) 313 (21.5)  
 2 2,228 (26.8) 1,917 (28.0) 311 (21.4)  
 3 2,213 (26.6) 1,825 (26.6) 388 (26.7)  
 4th quartile 2,000 (24.0) 1,557 (22.7) 443 (30.5)  
Economic deprivationc    <0.001 
 1st quartile (lowest) 2,770 (33.3) 2,642 (38.5) 128 (8.8)  
 2 2,281 (27.4) 2,074 (30.2) 207 (14.2)  
 3 1,887 (22.7) 1,474 (21.5) 413 (28.4)  
 4th quartile 1,384 (16.6) 677 (9.9) 707 (48.6)  
Residential segregationd    <0.001 
 1st quartile (lowest) 2,558 (30.7) 2,490 (36.3) 68 (4.7)  
 2 2,262 (27.1) 2,076 (30.2) 186 (12.8)  
 3 2,065 (24.8) 1,673 (24.4) 392 (26.9)  
 4th quartile 1,437 (17.3) 628 (9.2) 809 (55.6)  
Combined RS and EDe    <0.001 
 Low RS – Low ED 4,159 (50.0) 3,973 (57.9) 186 (12.8)  
 Low RS – High ED 661 (7.9) 593 (8.6) 68 (4.7)  
 High RS – Low ED 892 (10.7) 743 (10.8) 149 (10.2)  
 High RS – High ED 2,610 (31.4) 1,558 (22.7) 1,052 (72.3)  
CharacteristicsTotal, no. (%) or median (95% CI)White, no. (%) or median (95% CI)Black, no. (%) or median (95% CI)P
Study population 8,322 (100.0) 6,867 (82.5) 1,455 (17.5)  
Vital status    <0.001 
 Alive 2,987 (35.9) 2,528 (36.8) 459 (31.5)  
 Deceased 5,335 (64.1) 4,339 (63.2) 996 (68.5)  
Median death time (months) 31.3 (29.9–32.4) 32.2 (31.0–34.4) 26.4 (23.9–29.4)  
Gender    0.063 
 Male 4,610 (55.4) 3,772 (54.9) 838 (57.6)  
 Female 3,712 (44.6) 3,095 (45.1) 617 (42.4)  
Age at diagnosis    <0.001 
 30–64 3,157 (37.9) 2,439 (35.5) 718 (49.4)  
 65–74 3,090 (37.1) 2,636 (38.4) 454 (31.2)  
 75–85 2,075 (24.9) 1,792 (26.1) 283 (19.4)  
Tumor grade    <0.001 
 Well differentiated 722 (8.7) 613 (8.9) 109 (7.5)  
 Moderately differentiated 2,348 (28.2) 1,992 (29.0) 356 (24.5)  
 Poorly differentiated 2,411 (29.0) 2,000 (29.1) 411 (28.3)  
 Undifferentiated 264 (3.2) 222 (3.2) 42 (2.9)  
 Unknown 2,577 (31.0) 2,040 (29.7) 537 (36.9)  
Surgery    <0.001 
 No 3,619 (43.5) 2,843 (41.4) 776 (53.3)  
 Yes 4,703 (56.5) 4,024 (58.6) 679 (46.7)  
Place of residence    <0.001 
 Urban 4,468 (53.7) 3,503 (51.0) 965 (66.3)  
 Suburban 2,492 (29.9) 2,215 (32.3) 277 (19.0)  
 Rural 1,362 (16.4) 1,149 (16.7) 213 (14.6)  
Social environment (census tract-level)     
Educational attainmenta   <0.001  
 1st quartile (highest) 1,803 (21.7) 1,568 (22.8) 235 (16.2)  
 2 2,141 (25.7) 1,749 (25.5) 392 (26.9)  
 3 2,355 (28.3) 1,868 (27.2) 487 (33.5)  
 4th quartile 2,023 (24.3) 1,682 (24.5) 341 (23.4)  
Elderly concentrationb   <0.001  
 1st quartile (lowest) 1,881 (22.6) 1,568 (22.8) 313 (21.5)  
 2 2,228 (26.8) 1,917 (28.0) 311 (21.4)  
 3 2,213 (26.6) 1,825 (26.6) 388 (26.7)  
 4th quartile 2,000 (24.0) 1,557 (22.7) 443 (30.5)  
Economic deprivationc    <0.001 
 1st quartile (lowest) 2,770 (33.3) 2,642 (38.5) 128 (8.8)  
 2 2,281 (27.4) 2,074 (30.2) 207 (14.2)  
 3 1,887 (22.7) 1,474 (21.5) 413 (28.4)  
 4th quartile 1,384 (16.6) 677 (9.9) 707 (48.6)  
Residential segregationd    <0.001 
 1st quartile (lowest) 2,558 (30.7) 2,490 (36.3) 68 (4.7)  
 2 2,262 (27.1) 2,076 (30.2) 186 (12.8)  
 3 2,065 (24.8) 1,673 (24.4) 392 (26.9)  
 4th quartile 1,437 (17.3) 628 (9.2) 809 (55.6)  
Combined RS and EDe    <0.001 
 Low RS – Low ED 4,159 (50.0) 3,973 (57.9) 186 (12.8)  
 Low RS – High ED 661 (7.9) 593 (8.6) 68 (4.7)  
 High RS – Low ED 892 (10.7) 743 (10.8) 149 (10.2)  
 High RS – High ED 2,610 (31.4) 1,558 (22.7) 1,052 (72.3)  

Abbreviations: CI, confidence interval; ED, economic deprivation; no., number; RS, residential segregation.

aLatent variable includes the following census variables: percent individuals with a high school degree or lower (+), and percent individuals with a college degree or higher (−).

bLatent variable includes the following census variables: percent 65 or older (+) and percent female widows (+).

cLatent variable includes the following census variables: percent households below the poverty level (+), percent households with a female head of house with children (+), percent households on public assistance (+), and percent married (−).

dCensus tract-level residential segregation was measured using the isolation index.

eCombined variable includes residential segregation and economic deprivation latent variables where low = first and second quartiles and high = third and fourth quartiles.

1.
Johnson
AM
,
Johnson
A
,
Hines
R
,
Bayakly
R
. 
The effects of residential segregation and neighborhood characteristics on surgery and survival in patients with early-stage non–small cell lung cancer
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Cancer Epidemiol Biomarkers Prev
2016
;
25
:
750
8
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