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Table 1 Summary of studies included in scoping review

From: Intersectional race and gender disparities in kidney transplant access in the United States: a scoping review

First author (publication year)

Study year

Population, setting

Sample size

Outcome

Method category1

Unadjusted findings

Adjusted findings

Soucie (1992)

1989–1990

Black and White patients on dialysis; North Carolina, South Carolina, Georgia

8,315 (53% female, 32% White, 68% Black)

Transplant candidacy

Categorized intersectional position

Unadjusted candidacy rates

White men: 16.7%

White women: 13.7%

Black men: 18.4%

Black women: 13.1%

Adjusted odds ratios2

White men: referent

White women: 0.88 (95% CI 0.65–1.18)

Black men: 0.77 (0.59–0.99)

Black women: 0.66 (0.51–0.87)

Ojo (1993)

1983–1990

Black and White ESKD patients; United States

Not reported

Living related donor (LRD) transplantation rate

Stratification

Unadjusted (transplantation rates)

1983

White men 4x higher transplantation rate than Black men

White women 4x Black women

Black men 1.2x Black women

White men 1.34x White women

1990

White men 5x Black men

White women 4x Black women

Black men 1x Black women

White men 1.2x White women

NR

Narva (1996)

1990

Native American and White patients on dialysis or received a transplant; Arizona and New Mexico

8,851 (46% female, 18% Native American, 82% White)

Transplantation rate

Raw data

Unadjusted risk ratios3

Arizona

Native American men: referent

White men: 1.06 (0.85–1.32)

Native American women: referent

White women 1.90 (1.39–2.61)

New Mexico

Native American men: referent

White men 1.53 (1.09–2.14)

Native American women: referent

White women: 1.96 (1.32–2.89)

NR

McCauley (1997)

1990–1992

Black and White women initiating dialysis; Pennsylvania

276 (38% White, 62% Black)

Referral for transplantation; transplantation

Stratification (intra-categorical analysis)

Unadjusted risk ratios4

Referral

Black women: referent

White women 0.98 (0.79–1.23)

Transplantation

Black women: referent

White women 1.60 (1.04–2.48)

Time to referral

White women: 1.37 ± 0.24 years vs.

Black women: 2.19 ± 0.3 years (p = 0.001)

Adjusted risk ratios5

Referral

Race not associated with referral (data not shown)

Transplantation

Black women: referent

White women: 2.2 (95% CI 1.3-4.0)

Ayanian (1999)

1996–1997

Black and White patients initiating dialysis; Alabama, California, Michigan, Maryland, Virginia, Washington DC

1,392 (53% female, 48% White, 52% Black)

Referral; waitlisting or transplantation within 18 months of dialysis initiation; preference for kidney transplantation

Categorized intersectional position

Unadjusted probability of the outcome

Referral

White men: 82.3% vs.

Black men: 60.4% (p < 0.001)

White women: 75.2% vs.

Black women: 55.5% (p < 0.001)

Waitlisting or transplantation

White men: 70.8% vs.

Black men: 45.4% (p < 0.001)

White women: 71.4% vs.

Black women: 44.2% (p < 0.001)

Desire kidney transplant

White men: 85.5% vs.

Black men: 80.7% (p = 0.04)

White women: 79.3% vs.

Black women: 76.3% (p = 0.13)

Adjusted probability of the outcome6

Referral

White men: 78.2% (referent)

White women: 75.1% (95% CI 65.4–82.9)

Black men: 61.2% (49.8–71.5)

Black women: 59.9% (48.2–70.6)

Waitlisting or transplantation

White men: 62.7% (referent)

White women: 64.7% (54.3–73.8)

Black men: 48.7% (37.9–59.6)

Black women: 44.6% (33.7–55.8)

Epstein (2000)

1996–1997

Black and White patients initiating dialysis; Alabama, California, Michigan, Maryland, Virginia, Washington DC

1,518 (52% female, 48% White, 52% Black)

Referral7; waitlisting; transplantation

Stratification

Unadjusted

Referral – appropriate candidates

White men: 98.8% vs.

Black men: 86.5% (p = 0.005)

White women: 97.2% vs.

Black women: 94.1% (p = 0.43)

Referral – inappropriate candidates

White men: 62.7% vs.

Black men: 36.6% (p < 0.001)

White women: 53.9% vs.

Black women: 40.0% (p = 0.02)

Waitlisting – appropriate candidates

White men: 90.3% vs.

Black men: 61.1% (p < 0.001)

White women: 82.5% vs.

Black women: 81.8% (p = 0.93)

Waitlisting – inappropriate candidates

White men: 33.0% vs.

Black men: 19.3% (p = 0.01)

White women: 29.2% vs.

Black women: 15.8% (p = 0.005)

Transplantation – appropriate candidates

White men: 58.8% vs.

Black men: 16.2% (p < 0.001)

White women: 44.4% vs.

Black women: 17.7% (p = 0.007)

Transplantation – inappropriate candidates

White men: 10.8% vs.

Black men: 3.4% (p = 0.02)

White women: 9.9% vs.

Black women: 1.2% (p < 0.001)

Adjusted8

Referral – appropriate candidates

White men: 96.0% vs.

Black men: 90.9% (p = 0.57)

White women: 96.1% vs.

Black women: 93.1% (p = 0.60)

Referral – inappropriate candidates

White men: 67.7% vs.

Black men: 36.4% (p = 0.013)

White women: 58.8% vs.

Black women: 43.1% (p = 0.21)

Waitlisting – appropriate candidates

White men: 85.9% vs.

Black men: 68.7% (p = 0.12)

White women: 82.4% vs.

Black women: 85.6% (p = 0.49)

Waitlisting – inappropriate candidates

White men: 37.8% vs.

Black men: 20.9% (p = 0.20)

White women: 34.7% vs.

Black women: 19.1% (p = 0.07)

Transplantation – appropriate candidates

White men: 62.2% vs.

Black men: 16.4% (p = 0.002)

White women: 41.0% vs.

Black women: 18.8% (p = 0.14)

Transplantation – inappropriate candidates

White men: 22.8% vs.

Black men: 6.0% (p = 0.04)

White women: 23.5% vs.

Black women: 1.5% (p = 0.01)

Thamer (2001)

1997–1998

Nephrologists; United States

271

Recommendation for kidney transplantation

Categorized intersectional position

Unadjusted odds ratios

White men: referent

White women: 0.50 (CI 0.38–0.65)

Black women: 0.84 (0.65–1.08)

Asian men: 0.61 (0.45–0.79)

Adjusted odds ratios9

White men: referent

White women: 0.41 (0.21–0.79)

Black women: 0.78 (0.53–1.16)

Asian men: 0.46 (0.24–0.91)

No statistically significant difference between White women and Black women (results not shown)

Klassen (2002)

1996–1997

Black and White patients eligible for kidney transplant; Maryland

114 (44% female, 29% White, 71% Black)

Waitlisting

Regression with interaction term; stratification

NR

Adjusted10

“African American and White men were both more likely to be listed than female patients; the sex effect was consistent across racial groups, and there was not a significant interaction effect between race and sex” (data not shown).

Clark (2008)

1996–1997

Black and White patients initiating dialysis; Alabama, California, Michigan, Maryland, Virginia, Washington DC

742 (50% female, 50% White, 50% Black)

Preference for transplant; physician recommendation for transplant11

Stratification

Unadjusted odds ratios12

Preference for transplant

White men: referent vs.

Black men: 0.42 (CI 0.22–0.80)

White women: referent vs.

Black women: 0.92 (0.54–1.58)

Recommendation for transplant

White men: referent vs.

Black men: 0.55 (0.33–0.93)

White women: referent vs.

Black women: 0.58 (0.35–0.94)

NR

Weng (2010)

2000–2005

Patients evaluated for kidney transplant; New Jersey

1,617 (39% female, 74% “non-Black,” 26% Black)

Recruitment of living kidney donors; receipt of living donor kidney transplant

Regression with interaction term

NR

Adjusted13

No statistically significant interactions between race and sex (results not shown)

Gillespie (2014)

2008–2009

Black patients with ESKD on chronic hemodialysis; Pennsylvania

101 (52% female)

Waitlisting; evaluation for transplant; views on transplantation

Stratification (intra-categorical analysis)

Unadjusted odds ratio14

Waitlisting

Black men: referent vs.

Black women: 0.51 (CI 0.20–1.28)

Evaluation

Black men: referent vs.

Black women: 0.35 (0.15–0.80)

Would accept LDKT

Black men: referent vs.

Black women: 0.28 (0.09–0.88)

Would accept DDKT

Black men: referent vs.

Black women: 0.11 (0.02–0.54)

Adjusted odds ratio15

Would accept LDKT

Black men: referent vs.

Black women: 0.15 (CI 0.04–0.46)16

Monson (2015)

2009–2010

Patients presenting for initial kidney transplant evaluation; Illinois

256 (43% female, 22% White, 50% Black, 29% Hispanic)

Rate of completion of pre-transplant evaluation within 12 months of initial renal transplant clinic visit

Regression with interaction term; categorized intersectional position

NR

Adjusted hazard ratios17

Black men: referent vs.

Black women: 1.38 (p = 0.16)

White men: 1.99 (p = 0.005)

White women: 0.94 (p = 0.83)

Hispanic men: 2.75 (p < 0.0001)

Hispanic women: 1.96 (p = 0.006)

Statistically significant interaction between race/ethnicity and sex on completion (p = 0.02)

White women: referent vs.

Black women: 1.80 (p = 0.08)

Hispanic women: 2.18 (p = 0.02)

Gillespie (2020)

2012–2014

Patients waitlisted for kidney transplant; Virginia

128 (53% female, 32% White, 68% Black)

Number of living donor requests

Stratification

NR

Adjusted incidence rate ratios18

White men: referent vs.

White women: 3.06 (CI 1.43–6.55)

Black men: referent vs.

Black women: 1.62 (0.98–2.67)

Smothers (2022)

2012–2016

ESKD patients initiating dialysis; North Carolina, South Carolina, Georgia

45,015 (45% female, 42% White, 53% Black, 3% Hispanic, 2% “Other” race)

Referral

Regression with interaction term; stratification

NR

Adjusted odds ratios19

White men: referent vs.

White women: 0.76 (CI 0.71–0.82)

Black men: referent vs.

Black women: 0.93 (0.88–0.99)

Hispanic men: referent vs.

Hispanic women: 0.85 (0.65–1.12)

“Other race” men: referent vs.

“Other race” women: 0.78 (0.56–1.09)

There was a statistically significant interaction between race and sex (p = 0.001)

  1. NR = not reported. 95% CI = 95% confidence interval. LDKT = living donor kidney transplant. DDKT = deceased donor kidney transplant
  2. 1 Drawn from the categories in Guan et al. 2021
  3. 2 Adjusted for age, time on dialysis, cause of ESKD, functional and nutritional status, comorbid conditions, and socioeconomic factors
  4. 3 Calculated using data in Narva et al. Table 6
  5. 4 Calculated using data from text on McCauley et al. page 741 and 743
  6. 5 Model for referral was adjusted for age, education, employment, county of residence, and comorbidities. Model for transplantation was adjusted for age, education, employment, county, hospitalization, comorbidities, cause of ESKD, and dialysis modality
  7. 6 Adjusted for patient preferences, sociodemographic factors, type of dialysis facility, perceptions of care, health status, cause of kidney failure, and coexisting conditions
  8. 7 Referral was assessed by chart review and through patient survey separately. This table presents only the results from referral ascertained via chart review
  9. 8 Adjusted for age, region, cause of ESKD, education, income, health status, preferences, and distance to transplant facility
  10. 9 Adjusted for age, compliance with treatment, weight, residual renal function, cardiac ejection fraction, HIV status, living arrangement, and nephrologist characteristics
  11. 10 Adjusted for age, sex, employment, years with ESKD, previous treatment, self-rated health, attitude toward transplantation, experience with discrimination
  12. 11 The main exposure of interest in this study was level of social support, the main outcome was completion of evaluation, and the authors assessed the association separately in each race-gender group (Clark et al. Table 2). For the purposes of this review, we focus on the outcomes of preference and recommendation for transplant, which are presented stratified by race-gender group in Clark et al. Table 1
  13. 12 Calculated using data from Clark et al. Table 1
  14. 13 Adjusted for age, marital status, dialysis status, insurance, panel reactive antibodies, and blood type
  15. 14 Calculated using data from Gillespie et al. Table 3, excluding “Do not know” responses
  16. 15 Adjusted for age, marital status, education, insurance, peripheral vascular disease, and survey administration mode
  17. 16 Results from best internal validation full-sample model. Results from best casewise-deleted subsample model and base casewise-deleted full-sample model were similar
  18. 17 Adjusted for race/ethnicity, insurance, marital status, time on dialysis, hospitalizations, previous incomplete workup, in need of stress test, lower extremity arterial study, carotid duplex, colonoscopy or Pap test, total number of tests needed
  19. 18 Adjusted for age, marital status, income, and transplant knowledge
  20. 19 Adjusted for age, BMI, insurance, primary cause of ESKD, pre-ESKD care, transplant education, and comorbidities. Dialysis facility modeled as a random effect