Estimates of the global burden of non-Hodgkin lymphoma attributable to HIV: a population attributable modeling studyResearch in context
Summary: Background: Human immunodeficiency virus (HIV) significantly increases the risk of non-Hodgkin lymphoma (NHL) development, yet the population-level impact on NHL burden is unquantified. We aim to quantify this association and estimate the global burden of HIV-associated NHL. Methods: In th...
| Main Authors: | , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-01-01
|
| Series: | EClinicalMedicine |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589537023005473 |
| _version_ | 1797347072954859520 |
|---|---|
| author | Yan Chen Jianhui Zhao Ping Sun Mengli Cheng Yiquan Xiong Zhaochen Sun Yixuan Zhang Kangning Li Yunli Ye Ping Shuai Hairong Huang Xue Li Yuping Liu Zhengwei Wan |
| author_facet | Yan Chen Jianhui Zhao Ping Sun Mengli Cheng Yiquan Xiong Zhaochen Sun Yixuan Zhang Kangning Li Yunli Ye Ping Shuai Hairong Huang Xue Li Yuping Liu Zhengwei Wan |
| author_sort | Yan Chen |
| collection | DOAJ |
| description | Summary: Background: Human immunodeficiency virus (HIV) significantly increases the risk of non-Hodgkin lymphoma (NHL) development, yet the population-level impact on NHL burden is unquantified. We aim to quantify this association and estimate the global burden of HIV-associated NHL. Methods: In this meta-analysis, we searched five databases (PubMed, EMBASE, Cochrane Library, Web of Science, Scopus) from database inception up to September 13, 2023, identifying cohort, case–control, or cross-sectional studies with an effective control group to assess NHL risk among individuals with HIV infection, with two authors extracting summary data from reports. Global and regional HIV-associated population attributable fraction (PAF) and NHL disease burden were calculated based on the pooled risk ratio (RR). HIV prevalence and NHL incidence were obtained from the Joint United Nations Programme on HIV/AIDS (UNAIDS) and Global Burden of Diseases, Injuries, and Risk Factors Study 2019. Trends in NHL incidence due to HIV were assessed using age-standardised incidence rate (ASIR) and estimated annual percentage change (EAPC). This study was registered with PROSPERO (CRD42023404150). Findings: Out of 14,929 literature sources, 39 articles met our inclusion criteria. The risk of NHL was significantly increased in the population living with HIV (pooled RR 23.51, 95% CI 17.62–31.37; I2 = 100%, p < 0.0001), without publication bias. Globally, 6.92% (95% CI 2.18%–11.57%) of NHL new cases in 2019 were attributable to HIV infection (30,503, 95% CI 9585–52,209), which marked a more than three-fold increase from 1990 (8340, 95% CI 3346–13,799). The UNAIDS region of Eastern and Southern Africa was the highest affected region, with 44.46% (95% CI 19.62%–58.57%) of NHL new cases attributed to HIV infection. The Eastern Europe and Central Asia region experienced the highest increase in ASIR of NHL due to HIV in the past thirty years, wherein the EAPC was 8.74% (95% CI 7.66%–9.84%), from 2010 to 2019. Interpretation: People with HIV infection face a significantly increased risk of NHL. Targeted prevention and control policies are especially crucial for countries in Eastern and Southern Africa, Eastern Europe and Central Asia, to achieve the UNAIDS's ‘90-90-90’ Fast-Track targets. Limited studies across diverse regions and heterogeneity between research have hindered precise estimations for specific periods and regions. Funding: Sichuan Provincial People’s Hospital, Chengdu, China; Health Care for Cadres of Sichuan Province, Chengdu, China; Science and Technology Department of Sichuan Province, Chengdu, China. |
| first_indexed | 2024-03-08T11:42:27Z |
| format | Article |
| id | doaj.art-6ce8c0af6a364fc8bd126e6c8cedcc14 |
| institution | Directory Open Access Journal |
| issn | 2589-5370 |
| language | English |
| last_indexed | 2024-03-08T11:42:27Z |
| publishDate | 2024-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | EClinicalMedicine |
| spelling | doaj.art-6ce8c0af6a364fc8bd126e6c8cedcc142024-01-25T05:23:31ZengElsevierEClinicalMedicine2589-53702024-01-0167102370Estimates of the global burden of non-Hodgkin lymphoma attributable to HIV: a population attributable modeling studyResearch in contextYan Chen0Jianhui Zhao1Ping Sun2Mengli Cheng3Yiquan Xiong4Zhaochen Sun5Yixuan Zhang6Kangning Li7Yunli Ye8Ping Shuai9Hairong Huang10Xue Li11Yuping Liu12Zhengwei Wan13Department of Health Management Centre & Institute of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China; School of Public Health, Southwest Medical University, Luzhou, ChinaDepartment of School of Public Health, Epidemiology and Biostatistics, Zhejiang University School of Medicine, Hangzhou, ChinaDepartment of Health Management Centre & Institute of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, ChinaNational Clinical Laboratory on Tuberculosis, Beijing Key Laboratory of Drug-Resistant Tuberculosis, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumour Institute, Beijing, ChinaChinese Evidence-based Medicine Centre, West China Hospital, Sichuan University, Chengdu, ChinaDepartment of Health Management Centre & Institute of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China; School of Public Health, Southwest Medical University, Luzhou, ChinaDepartment of School of Public Health, Epidemiology and Biostatistics, Zhejiang University School of Medicine, Hangzhou, ChinaDepartment of School of Public Health, Epidemiology and Biostatistics, Zhejiang University School of Medicine, Hangzhou, ChinaSchool of Public Health, Southwest Medical University, Luzhou, ChinaDepartment of Health Management Centre & Institute of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, ChinaNational Clinical Laboratory on Tuberculosis, Beijing Key Laboratory of Drug-Resistant Tuberculosis, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumour Institute, Beijing, ChinaDepartment of School of Public Health, Epidemiology and Biostatistics, Zhejiang University School of Medicine, Hangzhou, China; Corresponding author. Zhejiang University School of Medicine, 866 YuhangTang Rd, Xihu Dist., Hangzhou, 310058, China.Department of Health Management Centre & Institute of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China; Corresponding author. No. 32 West Second Section, First Ring Rd., Qingyang Dist., Chengdu, 610000, China.Department of Health Management Centre & Institute of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China; Corresponding author. No. 32 West Second Section, First Ring Rd., Qingyang Dist., Chengdu, 610000, China.Summary: Background: Human immunodeficiency virus (HIV) significantly increases the risk of non-Hodgkin lymphoma (NHL) development, yet the population-level impact on NHL burden is unquantified. We aim to quantify this association and estimate the global burden of HIV-associated NHL. Methods: In this meta-analysis, we searched five databases (PubMed, EMBASE, Cochrane Library, Web of Science, Scopus) from database inception up to September 13, 2023, identifying cohort, case–control, or cross-sectional studies with an effective control group to assess NHL risk among individuals with HIV infection, with two authors extracting summary data from reports. Global and regional HIV-associated population attributable fraction (PAF) and NHL disease burden were calculated based on the pooled risk ratio (RR). HIV prevalence and NHL incidence were obtained from the Joint United Nations Programme on HIV/AIDS (UNAIDS) and Global Burden of Diseases, Injuries, and Risk Factors Study 2019. Trends in NHL incidence due to HIV were assessed using age-standardised incidence rate (ASIR) and estimated annual percentage change (EAPC). This study was registered with PROSPERO (CRD42023404150). Findings: Out of 14,929 literature sources, 39 articles met our inclusion criteria. The risk of NHL was significantly increased in the population living with HIV (pooled RR 23.51, 95% CI 17.62–31.37; I2 = 100%, p < 0.0001), without publication bias. Globally, 6.92% (95% CI 2.18%–11.57%) of NHL new cases in 2019 were attributable to HIV infection (30,503, 95% CI 9585–52,209), which marked a more than three-fold increase from 1990 (8340, 95% CI 3346–13,799). The UNAIDS region of Eastern and Southern Africa was the highest affected region, with 44.46% (95% CI 19.62%–58.57%) of NHL new cases attributed to HIV infection. The Eastern Europe and Central Asia region experienced the highest increase in ASIR of NHL due to HIV in the past thirty years, wherein the EAPC was 8.74% (95% CI 7.66%–9.84%), from 2010 to 2019. Interpretation: People with HIV infection face a significantly increased risk of NHL. Targeted prevention and control policies are especially crucial for countries in Eastern and Southern Africa, Eastern Europe and Central Asia, to achieve the UNAIDS's ‘90-90-90’ Fast-Track targets. Limited studies across diverse regions and heterogeneity between research have hindered precise estimations for specific periods and regions. Funding: Sichuan Provincial People’s Hospital, Chengdu, China; Health Care for Cadres of Sichuan Province, Chengdu, China; Science and Technology Department of Sichuan Province, Chengdu, China.http://www.sciencedirect.com/science/article/pii/S2589537023005473HIVNon-Hodgkin lymphomaRisk ratioPopulation attributable fractionGlobal burden |
| spellingShingle | Yan Chen Jianhui Zhao Ping Sun Mengli Cheng Yiquan Xiong Zhaochen Sun Yixuan Zhang Kangning Li Yunli Ye Ping Shuai Hairong Huang Xue Li Yuping Liu Zhengwei Wan Estimates of the global burden of non-Hodgkin lymphoma attributable to HIV: a population attributable modeling studyResearch in context EClinicalMedicine HIV Non-Hodgkin lymphoma Risk ratio Population attributable fraction Global burden |
| title | Estimates of the global burden of non-Hodgkin lymphoma attributable to HIV: a population attributable modeling studyResearch in context |
| title_full | Estimates of the global burden of non-Hodgkin lymphoma attributable to HIV: a population attributable modeling studyResearch in context |
| title_fullStr | Estimates of the global burden of non-Hodgkin lymphoma attributable to HIV: a population attributable modeling studyResearch in context |
| title_full_unstemmed | Estimates of the global burden of non-Hodgkin lymphoma attributable to HIV: a population attributable modeling studyResearch in context |
| title_short | Estimates of the global burden of non-Hodgkin lymphoma attributable to HIV: a population attributable modeling studyResearch in context |
| title_sort | estimates of the global burden of non hodgkin lymphoma attributable to hiv a population attributable modeling studyresearch in context |
| topic | HIV Non-Hodgkin lymphoma Risk ratio Population attributable fraction Global burden |
| url | http://www.sciencedirect.com/science/article/pii/S2589537023005473 |
| work_keys_str_mv | AT yanchen estimatesoftheglobalburdenofnonhodgkinlymphomaattributabletohivapopulationattributablemodelingstudyresearchincontext AT jianhuizhao estimatesoftheglobalburdenofnonhodgkinlymphomaattributabletohivapopulationattributablemodelingstudyresearchincontext AT pingsun estimatesoftheglobalburdenofnonhodgkinlymphomaattributabletohivapopulationattributablemodelingstudyresearchincontext AT menglicheng estimatesoftheglobalburdenofnonhodgkinlymphomaattributabletohivapopulationattributablemodelingstudyresearchincontext AT yiquanxiong estimatesoftheglobalburdenofnonhodgkinlymphomaattributabletohivapopulationattributablemodelingstudyresearchincontext AT zhaochensun estimatesoftheglobalburdenofnonhodgkinlymphomaattributabletohivapopulationattributablemodelingstudyresearchincontext AT yixuanzhang estimatesoftheglobalburdenofnonhodgkinlymphomaattributabletohivapopulationattributablemodelingstudyresearchincontext AT kangningli estimatesoftheglobalburdenofnonhodgkinlymphomaattributabletohivapopulationattributablemodelingstudyresearchincontext AT yunliye estimatesoftheglobalburdenofnonhodgkinlymphomaattributabletohivapopulationattributablemodelingstudyresearchincontext AT pingshuai estimatesoftheglobalburdenofnonhodgkinlymphomaattributabletohivapopulationattributablemodelingstudyresearchincontext AT haironghuang estimatesoftheglobalburdenofnonhodgkinlymphomaattributabletohivapopulationattributablemodelingstudyresearchincontext AT xueli estimatesoftheglobalburdenofnonhodgkinlymphomaattributabletohivapopulationattributablemodelingstudyresearchincontext AT yupingliu estimatesoftheglobalburdenofnonhodgkinlymphomaattributabletohivapopulationattributablemodelingstudyresearchincontext AT zhengweiwan estimatesoftheglobalburdenofnonhodgkinlymphomaattributabletohivapopulationattributablemodelingstudyresearchincontext |