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Background:
Systematic Review

The Impact of Socioeconomic Factors on Kidney Transplantation: A Systematic Review of Low- and Middle-Income Countries

by
Nguyen Xuong Duong
1,2,
Minh Sam Thai
2,
Ngoc Sinh Tran
3,
Khac Chuan Hoang
2,
Quy Thuan Chau
2,
Xuan Thai Ngo
3,
Trung Toan Duong
4,
Tan Ho Trong Truong
2,
Hanh Thi Tuyet Ngo
5,
Dat Tien Nguyen
6,
Khoa Quy
7,
Tien Dat Hoang
2,
David-Dan Nguyen
8,
Narmina Khanmammadova Onder
9,
Dinno Francis Mendiola
10,
Anh Tuan Mai
11,
Muhammed A. Moukhtar Hammad
9,
Huy Gia Vuong
12,
Ho Yee Tiong
13,
Se Young Choi
14 and
Tuan Thanh Nguyen
2,3,*
add Show full author list remove Hide full author list
1
Department of Urology, Graduate School of Medical Sciences, University of Yamanashi, Chuo-City 409-3898, Japan
2
Department of Urology, Cho Ray Hospital, Ho Chi Minh City 700000, Vietnam
3
Department of Urology, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City 700000, Vietnam
4
Department of Hemodialysis, Cho Ray Hospital, Ho Chi Minh City 700000, Vietnam
5
Department of Pathology, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City 700000, Vietnam
6
Department of Urology, Binh Dan Hospital, Ho Chi Minh City 700000, Vietnam
7
Department of Medicine, Vin University, Hanoi 10000, Vietnam
8
Division of Urology, University of Toronto, Toronto, ON M5S 1A1, Canada
9
Department of Urology, University of California, Irvine, CA 92697, USA
10
Department of Urology, University of Miami, Coral Gables, FL 33146, USA
11
Department of Medicine, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City 70000, Vietnam
12
Department of Pathology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA
13
Department of Urology, National University Hospital, Singapore 119228, Singapore
14
Department of Urology, Chung-Ang University Hospital, College of Medicine, Chung-Ang University, Seoul 06973, Republic of Korea
*
Author to whom correspondence should be addressed.
Soc. Int. Urol. J. 2024, 5(5), 349-360; https://doi.org/10.3390/siuj5050054
Submission received: 21 July 2024 / Revised: 30 August 2024 / Accepted: 18 September 2024 / Published: 16 October 2024

Abstract

:
Kidney transplantation (KT) is a preferred treatment for end-stage renal disease (ESRD) because it offers better long-term survival and cost-effectiveness compared to dialysis. Significant global disparities persist in access to KT, particularly in low- and middle-income countries (LMICs). This study aims to assess the epidemiology and outcomes of KT in LMICs while examining the relationship between a country’s income level and its KT prevalence. A systematic review of the literature was conducted, with searches of PubMed, Scopus, and Web of Science from inception to 31 May 2024. Relevant articles reporting on the epidemiology and outcomes of KT or ESRD patients undergoing kidney replacement therapy (KRT) in LMICs were included. A total of 8054 articles were identified, with 972 articles selected for full-text screening after initial title and abstract review. Following full-text screening, 35 articles met the inclusion criteria. The data showed significant variation in KRT and KT prevalence across different geographical locations. Higher-income countries within LMICs tended to have higher KT prevalence rates. Barriers such as inadequate healthcare infrastructure, limited financial resources, and insufficient organ donation frameworks were identified as contributing factors to the low KT rates in these regions. The study highlights the disparities in KT access and prevalence in LMICs, underscoring the need for targeted interventions and international collaboration to address these gaps. Efforts to increase both living and deceased donor transplants, expand health system capacity, and incorporate KT in healthcare planning are needed to close this gap. Global partnerships spearheaded by organizations such as The Transplantation Society (TTS) and the International Society of Nephrology (ISN) are crucial for improving KT rates and outcomes in LMICs.

1. Introduction

Kidney transplantation (KT) is widely recognized as the optimal treatment for patients with end-stage kidney disease (ESKD), due to superior quality of life, reduced morbidity, and lower mortality compared to other kidney replacement therapies (KRT) [1]. Globally, KT has become a preferred option for managing ESKD, significantly improving patient outcomes. However, the current status of KT varies considerably across the world, with high-income countries (HICs) generally exhibiting higher transplantation rates and better outcomes [2]. Economic and healthcare infrastructure differences play a substantial role in these disparities, influencing both access to and the quality of transplant services available to patients [3,4].
Despite advancements in KT, its development and implementation in low- and middle-income countries (LMICs) have not been comprehensively documented. Data from these regions are often sparse and fragmented, leading to a limited understanding of the true scope and effectiveness of KT programs in LMICs [5]. While some LMICs have established robust KT programs, many others continue to struggle with inadequate resources, limiting their ability to provide this life-saving treatment. The variability in KT rates and the underlying factors contributing to these differences underscore the need for a more detailed and comprehensive analysis of the state of KT in LMICs [3,4].
These countries face numerous challenges that impede the progress and success of KT programs, including insufficient healthcare infrastructure, significant economic disparities, and a shortage of trained healthcare professionals [3,6]. Addressing these barriers is crucial for improving KT outcomes in these regions. This systematic review therefore aims to provide a comprehensive overview of the current status and trends in kidney transplantation in low- and middle-income countries. By highlighting the disparities and challenges faced by these regions, we hope to inform and guide future efforts to enhance KT programs and ultimately improve patient outcomes in LMICs.

2. Materials and Methods

2.1. Low- and Middle-Income Countries

Among the 218 countries across the globe, there were 131 countries which were classified as low-income (26 countries), low middle-income (51 countries), and upper middle-income (54 countries) by the World Bank [7]. The Supplementary Table S1 presents the World Bank country classification by income.

2.2. Literature Search

This study was conducted following the PRISMA Guidelines for systematic reviews and meta-analyses. Three electronic databases, PubMed, Scopus, and Web of Science (ISI), were searched to identify relevant studies about kidney transplantation in LMICs up to 31 May 2024. The following search terms were used: (“kidney transplantation” OR “renal transplantation” OR “kidney replacement therapy”) AND (“outcome” OR “challenge” OR “burden”) AND (“Afghanistan” OR “Angola” OR “Albania” OR “Argentina” OR “Armenia” OR “Azerbaijan” OR “Burundi” OR “Benin” OR “Burkina Faso” OR “Bangladesh” OR “Belarus” OR “Bhutan” OR “Bosnia and Herzegovina” OR “Belize” OR “Bolivia” OR “Brazil” OR “Bulgaria” OR “Botswana” OR “Central African Republic” OR “Cambodia” OR “Côte d’Ivoire” OR “Cameroon” OR “ Democratic Republic of the Congo” OR “Republic of the Congo” OR “Colombia” OR “Comoros” OR “Cabo Verde” OR “Costa Rica” OR “Cuba” OR “Djibouti” OR “Dominica” OR “Dominican Republic” OR “Algeria” OR “Ecuador” OR “Arab Republic of Egypt” OR “Eritrea” OR “Ethiopia” OR “China” OR “Fiji” OR “Gabon” OR “Georgia” OR “Ghana” OR “Guinea” OR “Gambia, The” OR “Guinea-Bissau” OR “Equatorial Guinea” OR “Grenada” OR “Guatemala” OR “Honduras” OR “Haiti” OR “India” OR “Indonesia” OR “Iran” OR “Iraq” OR “Jamaica” OR “Jordan” OR “Kazakhstan” OR “Kenya” OR “Kiribati” OR “ Democratic People’s Republic of Korea” OR “Kosovo” OR “Kyrgyz Republic” OR “Lebanon” OR “Liberia” OR “Libya” OR “St. Lucia” OR “Laos” OR “Lesotho” OR “Morocco” OR “Malaysia” OR “Madagascar” OR “Maldives” OR “Mexico” OR “Marshall Islands” OR “Micronesia, Fed. Sts.” OR “Mali” OR “Moldova” OR “Mongolia” OR “Montenegro” OR “Mozambique” OR “Mauritania” OR “Mauritius” OR “Malawi” OR “Myanmar” OR “Namibia” OR “Niger” OR “Nigeria” OR “Nicaragua” OR “Nepal” OR “North Macedonia” OR “Peru” OR “Pakistan” OR “Palau” OR “Papua New Guinea” OR “Philippines” OR “Paraguay” OR “West Bank and Gaza” OR “Russian Federation” OR “Rwanda” OR “Sudan” OR “Senegal” OR “Samoa” OR “Sierra Leone” OR “El Salvador” OR “Somalia” OR “Serbia” OR “South Sudan” OR “São Tomé and Príncipe” OR “Suriname” OR “Eswatini” OR “Syrian Arab Republic” OR “Chad” OR “Togo” OR “Solomon Islands” OR “Sri Lanka” OR “Tajikistan” OR “Thailand” OR “Timor-Leste” OR “Tunisia” OR “Tonga” OR “Türkiye” OR “Tanzania” OR “Uganda” OR “Turkmenistan” OR “Tuvalu” OR “St. Vincent and the Grenadines” OR “Ukraine” OR “Uzbekistan” OR “Vanuatu” OR “Vietnam” OR “Yemen, Rep.” OR “South Africa” OR “Zambia” OR “Zimbabwe”). Additionally, we performed manual searches for the original studies from the included articles, reviews, and books in PubMed, Scopus, and Web of Science (ISI).

2.3. Selection Criteria and Abstract Screening

Articles were included if they were original research reporting epidemiology and outcomes of KT or ESKD patients with KRT in LMICs. Articles were excluded if they were: (1) reviews, book chapters, or theses; (2) conference papers, abstract only; (3) comments, editorials, letters, notes, oral presentations, short surveys; (4) case reports, case studies; (5) duplicate studies; (6) reported epidemiology and outcomes of KT or ESKD patients with KRT in non-LMICs; (7) not relevant to the study topic. Two independent reviewers performed the title and abstract screening to identify relevant articles. Any disagreements were discussed and resolved by consensus.

2.4. Full-Text Screening and Data Extraction

Two authors (T.T.N. and N.X.D.) created the extraction form by using Microsoft Excel (ver. 16.37 for Mac). Three groups of reviewers independently extracted data from the included articles and validated data to ensure all extracted data was correct. All the potential overlapping data from the same group of researchers were checked based on the period of study and the center or country where the study was conducted. Regarding studies performed in the same country, we chose the most recent studies for analysis.

3. Results

3.1. Search Results

There were 8054 articles identified from three electronic databases, Pubmed, Scopus, and Web of Science (ISI), from July 1976 to May 2024. After the title and abstract screening, there were 972 articles included for full-text screening. Upon full-text screening, 959 papers were excluded due to a lack of information, irrelevance to the study topic, and duplication. Therefore, 13 articles were selected for data extraction.
In addition, 22 articles were identified through cross-referencing during the data extraction phase. Although these articles had been excluded during the title and abstract screening, they were thoroughly reviewed in full during the data extraction process. If these cross-referenced articles provided relevant data on kidney replacement therapy (KRT) and met our inclusion criteria, they were incorporated into the analysis. This process led to a total of 35 articles [4,6,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40] being included in the final analysis, reporting on the epidemiology and outcomes of kidney transplantation (KT) and end-stage renal disease (ESRD) patients undergoing KRT in LMICs (Figure 1).

3.2. The Relationship between Country’s Income and KT Prevalence

Table 1 provides an overview of the countries reported, categorized by region, including the average GNI per capita, the prevalence of KRT, and the prevalence of KT. The GNI per capita shows significant variation across different continents. Europe has the highest GNI while Africa has the lowest GNI per capita, with several countries having a GNI per capita below $1000. The results show significant variation of KRT and KT prevalence across different geographical locations (Figure 2).
Table 2 shows notable disparities in the prevalence of KRT and KT across different countries. For example, Jordan showed the highest prevalence of KT at 463.9 per million population (pmp), while several Asian and African countries reported a prevalence of 0 pmp. Additionally, there is a significant percentage of countries with non-reported data of KRT. A scatter plot in Figure 3 and Supplementary Figure S1 shows the relationship between GNI per capita and KT prevalence, and between GNI per capita and KRT prevalence across countries and regions; it shows that the higher-income countries tended to have a higher KT prevalence.
Table 3 further expands the KT characteristics of LMICs. The results highlighted the reliance on living donors in many LMICs. For example, Kosovo and Ukraine in Europe, Bangladesh and Indonesia in Asia, and Ethiopia and Nigeria in Africa reported 100% KT from living donors. A large number of LMICs have no data reported regarding KT characteristics, especially African countries with only 5 countries reporting KRT and KT.

4. Discussion

Kidney transplantation offers better long-term survival and cost-effectiveness compared to dialysis, making it the preferred treatment for ESKD [41]. However, significant global disparities in access to KT persist, particularly in countries with lower Human Development Index scores, a composite statistic of life expectancy, education, and per capita income indicators [41]. LMICs face substantial barriers, including inadequate healthcare infrastructure, limited financial resources, and insufficient organ donation frameworks [5]. Consequently, the rates of KT in these regions remain disproportionately low compared to high-income countries [41]. Addressing these disparities requires targeted interventions and international collaboration to ensure equitable access to this life-saving procedure.
Efforts to improve access to kidney transplantation include increasing both living and deceased donor transplants. Strategies such as donation after cardiac death and extending donor acceptance criteria have been implemented to expand the donor pool [2]. Organizations like The Transplantation Society (TTS) and the International Society of Nephrology (ISN) are actively working to reduce disparities through global initiatives and educational programs [41]. However, ethical challenges, including the global organ shortage, have led to illegal organ trade and exploitation of vulnerable populations. The World Health Organization (WHO) and other entities have established guidelines to combat organ trafficking and promote ethical transplantation practices [41]. The Declaration of Istanbul outlines professional standards to eliminate transplant tourism and ensure ethical conduct [3]. Comprehensive programs that include chronic kidney disease (CKD) prevention, early detection, and robust transplantation infrastructure are essential for addressing global disparities. The ISN and TTS are committed to improving transplant programs in LMICs through coordinated efforts, aiming to make kidney transplantation a universally accessible, cost-effective, and life-saving option [41].
In LMICs, the legal aspects surrounding kidney transplantation often face significant challenges due to the absence or inadequacy of specific laws governing organ donation and transplantation [42]. This lack of legislation can lead to ethical problems and organ trafficking within the transplant system. Additionally, the absence of a well-established organ donation network in many of these countries further complicates the situation, resulting in a large gap between patients’ needs and the availability of organs. Without robust legal frameworks and organized donation networks, LMICs struggle to effectively and ethically facilitate KT practices within their healthcare systems.
Our systematic review has several limitations. Firstly, it may not cover all the LMICs due to a lack of published data and language barriers. Although we included studies published in English, relevant studies in other languages might have been overlooked, which could provide a more comprehensive understanding of the global status of kidney transplantation. To mitigate this limitation, we relied on expert recommendations and articles found in “grey” databases like Google Scholar. Secondly, the data from different countries were published at various times, introducing a time gap that can affect data interpretation. The development of kidney transplantation (KT) in a country is influenced by multiple factors, and our review may not capture all these aspects comprehensively. Factors such as the country’s health strategy, national health insurance policy, commercial organ trafficking, and transplantation law systems are crucial but are not fully reflected in our review. For instance, in countries with a sizable dialysis population, especially where dialysis is publicly funded, there is a clear need for kidney transplantation [5]. Additionally, the presence of legislation permitting the declaration of brain death and the removal of organs for transplantation is essential to facilitate the development of KT [41]. Our review did not fully account for these legislative aspects, which are pivotal for understanding the complexities of KT development in various regions.

5. Conclusions

In conclusion, low- and middle-income countries show varying capacities to effectively manage their burden of kidney disease. Fragmented funding, workforce shortages, unaffordable healthcare costs, and the underuse of cost-effective dialysis therapies contribute to these disparities. Care capacity is heavily influenced by each country’s socioeconomic landscape. Successful regional and international collaborations have been established to overcome these barriers and provide quality healthcare for kidney failure. These efforts must remain a priority for local governments and the nephrology community to ensure equitable access to kidney transplantation and essential treatments for all patients.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/siuj5050054/s1, Supplementary Table S1: Country classification by income. Supplementary Figure S1. Relationship between Kidney Replcaement Therapy rates and Gross National Income (GNI) per Capita in Various Regions.

Author Contributions

N.X.D.: Project development, data collection, data analysis, manuscript writing. M.S.T.: Project development, data collection, data analysis, manuscript writing. N.S.T.: Data analysis, manuscript writing and editing. K.C.H.: Data analysis, manuscript writing and editing. Q.T.C.: Data collection, data analysis. X.T.N.: Data collection, data analysis. T.T.D.: Data collection, manuscript writing, data analysis. T.H.T.T.: Data collection, data analysis. H.T.T.N.: Data collection, data analysis. D.T.N.: Data collection, data analysis. K.Q.: Data collection, data analysis. T.D.H.: Data collection, data analysis. D.-D.N.: Data collection, data analysis. N.K.O.: Data collection, data analysis. D.F.M.: Data collection, data analysis. A.T.M.: Data collection, data analysis. M.A.M.H.: Data collection, data analysis. H.G.V.: Data collection, data analysis. H.Y.T.: Protocol development, manuscript writing and editing. S.Y.C.: Protocol development, manuscript writing and editing. T.T.N.: Project development, data analysis, manuscript writing. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. PRISMA flow diagram.
Figure 1. PRISMA flow diagram.
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Figure 2. Global distribution of kidney transplantation prevalence in low- and middle-income countries.
Figure 2. Global distribution of kidney transplantation prevalence in low- and middle-income countries.
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Figure 3. Relationship between kidney transplantation rates and gross national income (GNI) per capita in various regions.
Figure 3. Relationship between kidney transplantation rates and gross national income (GNI) per capita in various regions.
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Table 1. Summary of economic status and kidney therapy prevalence by region.
Table 1. Summary of economic status and kidney therapy prevalence by region.
RegionNumber of Countries ReportedGNI per Capita (Median, Q25–Q75) (in $)KRT Prevalence (Median, Q25–Q75) (pmp)KT Prevalence (Median, Q25–Q75) (pmp)
Africa5780 (770–2020)15 (7.1–51.8)1.05 (0–2.7)
Asia243805 (2010–5055)499 (175–958.7)58 (0–82.8)
Europe118160 (7615–10,765)591 (420.5–786.5)7 (3.9–28)
Latin America166105 (4077.5–8305)469 (332.95–753.5)50 (39.5–187.5)
Note: GNI-gross national income; KRT-kidney replacement therapy; KT-kidney transplantation.
Table 2. Summary of economic status, population, and kidney replacement therapy prevalence by country.
Table 2. Summary of economic status, population, and kidney replacement therapy prevalence by country.
RegionCountryYear of ReportPopulation (in Thousands)GNI per CapitaNumber of Renal CentersNumber of KRTs (n)Prevalence of KRT (pmp)Prevalence of HD (pmp)Prevalence of PD (pmp)Prevalence of KT (pmp)
EuropeAlbania [12]202328187570141664591 5
EuropeBelarus [12]202393807780543881414 26
EuropeBosnia and Herzegovina [12]202335318160292547721 2.8
EuropeBulgaria [27,37]201870008530 38936105221991
EuropeKosovo [12]2023168859809784465 6
EuropeMontenegro [12]202362111,50012241387.9381.500
EuropeNorth Macedonia [12]202320697660231762852 7
EuropeRussian Federation [12]2023143,24814,25074061,164427 8
EuropeSerbia [12]2023620910,030645516888.4679.873.61.1
EuropeTürkiye [12]202383,61411,650111183,350997 30
EuropeUkraine [24,25]202142,2162750 8290267.9208.922.335.7
AsiaAfghanistan [21]201834,700520 5000144
AsiaArmenia [13]20212780.4694850
AsiaAzerbaijan [14]2022 5670
AsiaBangladesh [35]2022167,0002820101
AsiaBhutan [35]201880031403140175 0
AsiaCambodia [35]201915,0001560 404000
AsiaChina (Mainland) [38,39]20191,428,00010,310 610,811 402.1839.95
AsiaIndia [9,15,21]20191,340,0002080 134
AsiaIndonesia [21,28,32,35]2019267,663407079777,8924994945
AsiaIran [16,30,31]201881,6724880 89240837447
AsiaJordan [35]201997004180 9300958.7546.595.9463.9
AsiaKazakhstan [8]202119,196.4658790 67.3
AsiaLaos [6]2017 2240 0
AsiaMalaysia [6,35]201932,00010,960 41,5251345116012858
AsiaMaldives [35]20184009880
AsiaMongolia [35]201932003840 390
AsiaMyanmar [35]2019 1370
AsiaNepal [35]201926,0001220 1500
AsiaPakistan [35]2018193,2001610
AsiaPhilippines [6,35]2019105,0003770 32,077607
AsiaSri Lanka [35]201821,2004360 5482258
AsiaThailand [6,33,35]201569,157.0235580 1307 82.8
AsiaTimor-Leste [6]2017 1800
Asia Vietnam [37,40]201894,914.333060 3.04
AfricaDemocratic Republic of the Congo [34]201882,366,2884801524232.9 0
AfricaEthiopia [10,19]2018112,000780308007.17.101.05
AfricaNigeria [11,36]2018203,000202010 1514.70.052.7
AfricaUganda [22,23]201844,70077010 51.8 0
AfricaSouth Africa [17,18,29]202160.14654028188661471051428
Latin AmericaArgentina [4]202144,694.1989980 97667345258
Latin AmericaBolivia [4]202111,306.3413290 451 33
Latin AmericaBrazil [4]2021208,846.8927880 87659149236
Latin AmericaColombia [4]202148,168.9966220 686400148139
Latin AmericaCosta Rica [20]20154669.00010,610 338.829.120.8288.9
Latin AmericaCuba [4]202111,116.3968920 4302936131
Latin AmericaDominican Republic [4]202110,298.7568100 3051837547
Latin AmericaEcuador [20]201514,490.0005990 405.935234.519.5
Latin AmericaGuatemala [4]202116,581.2734930 50825720446
Latin AmericaHonduras [20]20157619.0002020 187.2167.116.33.8
Latin AmericaHaiti [4]202110,788.4401440
Latin AmericaMexico [4]2021125,959.2059920 1405272499634
Latin AmericaNicaragua [20]20155813.0001870 3729.22.65.2
Latin AmericaPeru [4]202131,331.2286440 5904865648
Latin AmericaParaguay [4]20217025.7635730 3312711050
Latin AmericaEl Salvador [4]20216187.2714340 77629738099
Note: GNI-gross national income; KRT-kidney replacement therapy; HD-hemodialysis; PD-peritoneal dialysis.
Table 3. Kidney transplantation in low- and middle-income countries.
Table 3. Kidney transplantation in low- and middle-income countries.
CountryPrevalence of KTs (pmp)First Year of KTsNumber of KT CentersTotal Number of KTsNumber of KTs per YearDeceased Donor (%)Living Donor (%)
Albania [12]5 14 0100
Belarus [12]26 242 1000
Bosnia and Herzegovina [12]2.8 10 1882
Bulgaria [27,37]911968363825
Kosovo [12]6 10 0100
Montenegro [12]0 0 00
North Macedonia [12]7 14 2971
Russian Federation [12]8 1124 87.512.5
Serbia [12]1.1 7 72.727.3
Türkiye [12]30 197 1090
Ukraine [24,25]35.71933715331350 *100
Afghanistan [21] 1
Armenia [13] 119620
Azerbaijan [14] 19717898100
Bangladesh [35] 1015003500100
Bhutan [35]0NA000
Cambodia [35]0NA000
China (Mainland) [38,39] 1972 10,00086.813.2
India [9,15,21] 1971233 80000.34
Indonesia [21,28,32,35] 197716 1420100
Iran [16,30,31]4471967 22811090
Jordan [35]463.9 4500230–250
Kazakhstan [8]67.3 1278 12.587.5
Laos [6]0 000
Malaysia [6,35]58
Maldives [35]
Mongolia [35]
Myanmar [35] 1995 220
Nepal [35] 4 312
Pakistan [35] 16 476
Philippines [6,35]
Sri Lanka [35] 7 267
Thailand [6,33,35]82.81972265729 50.449.6
Timor-Leste [6]
Vietnam [37,40]3.041992172426 7.392.7
Democratic Republic of the Congo [34]0 00
Ethiopia [10,19]1.052015 11835–400100
Nigeria [11,36]2.72000145501420100
Uganda [22,23]0 0100 (outside Uganda)00100
South Africa [17,18,29]2819667169726058.341.7
Argentina [4]258
Bolivia [4]33
Brazil [4]236
Colombia [4]139
Costa Rica [20]288.9
Cuba [4]131
Dominican Republic [4]47
Ecuador [20]19.5
Guatemala [4]46
Honduras [20]3.8
Haiti [4]
Mexico [4]634
Nicaragua [20]5.2
Peru [4]48
Paraguay [4]50
El Salvador [4]99
Note: KT-Kidney transplantation. * 2 cases only.
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Duong, N.X.; Thai, M.S.; Tran, N.S.; Hoang, K.C.; Chau, Q.T.; Ngo, X.T.; Duong, T.T.; Truong, T.H.T.; Ngo, H.T.T.; Nguyen, D.T.; et al. The Impact of Socioeconomic Factors on Kidney Transplantation: A Systematic Review of Low- and Middle-Income Countries. Soc. Int. Urol. J. 2024, 5, 349-360. https://doi.org/10.3390/siuj5050054

AMA Style

Duong NX, Thai MS, Tran NS, Hoang KC, Chau QT, Ngo XT, Duong TT, Truong THT, Ngo HTT, Nguyen DT, et al. The Impact of Socioeconomic Factors on Kidney Transplantation: A Systematic Review of Low- and Middle-Income Countries. Société Internationale d’Urologie Journal. 2024; 5(5):349-360. https://doi.org/10.3390/siuj5050054

Chicago/Turabian Style

Duong, Nguyen Xuong, Minh Sam Thai, Ngoc Sinh Tran, Khac Chuan Hoang, Quy Thuan Chau, Xuan Thai Ngo, Trung Toan Duong, Tan Ho Trong Truong, Hanh Thi Tuyet Ngo, Dat Tien Nguyen, and et al. 2024. "The Impact of Socioeconomic Factors on Kidney Transplantation: A Systematic Review of Low- and Middle-Income Countries" Société Internationale d’Urologie Journal 5, no. 5: 349-360. https://doi.org/10.3390/siuj5050054

APA Style

Duong, N. X., Thai, M. S., Tran, N. S., Hoang, K. C., Chau, Q. T., Ngo, X. T., Duong, T. T., Truong, T. H. T., Ngo, H. T. T., Nguyen, D. T., Quy, K., Hoang, T. D., Nguyen, D.-D., Onder, N. K., Mendiola, D. F., Mai, A. T., Hammad, M. A. M., Vuong, H. G., Tiong, H. Y., ... Nguyen, T. T. (2024). The Impact of Socioeconomic Factors on Kidney Transplantation: A Systematic Review of Low- and Middle-Income Countries. Société Internationale d’Urologie Journal, 5(5), 349-360. https://doi.org/10.3390/siuj5050054

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