亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

WHO 2030 HBV elimination goals: a goal too far?

医学 斯科普斯 肝病学 内科学 丙型肝炎 梅德林 家庭医学 法学 政治学
作者
Seng Gee Lim
出处
期刊:The Lancet Gastroenterology & Hepatology [Elsevier]
卷期号:8 (10): 862-863 被引量:3
标识
DOI:10.1016/s2468-1253(23)00233-9
摘要

In The Lancet Gastroenterology & Hepatology, the Polaris Observatory Collaborators report their latest iteration of the modelling of HBV prevalence, cascade of care, and prophylaxis. 1 Polaris Observatory CollaboratorsGlobal prevalence, cascade of care and prophylaxis coverage of hepatitis B in 2022: a modelling study. Lancet Gastroenterol Hepatol. 2023; (published online July 27.)https://doi.org/10.1016/S2468-1253(23)00197-8 Google Scholar Some refinements have been made to the modelling, with better quality data, which have led to an estimated global burden of HBV infection of 257·5 million (95% uncertainty interval 216·6–316·4) in 2022—a reduction of around 34·5 million cases compared with the 292·0 million estimated for 2016. 2 Polaris Observatory CollaboratorsGlobal prevalence, treatment, and prevention of hepatitis B virus infection in 2016: a modelling study. Lancet Gastroenterol Hepatol. 2018; 3: 383-403 Summary Full Text Full Text PDF PubMed Scopus (1123) Google Scholar By contrast, Cui and colleagues' recent study, 3 Cui F Blach S Manzengo Mingiedi C et al. Global reporting of progress towards elimination of hepatitis B and hepatitis C. Lancet Gastroenterol Hepatol. 2023; 8: 332-342 Summary Full Text Full Text PDF PubMed Scopus (13) Google Scholar which used WHO-collected data, estimated that 295·9 million (95% CI 228·2–422·6) people were living with chronic HBV infection in 2019. Both modelling studies produced large uncertainty intervals—ranges of 90 million and 194 million cases, respectively—raising the question of whether incremental changes in prevalence, prophylaxis, and outcomes are meaningful or credible. Modelling is only as good as the raw data on which it is based, which remains the weak point of such studies. Since five countries (China, India, Indonesia, Nigeria, and Ethiopia) were estimated to contribute 58% of the disease burden in 2022, 1 Polaris Observatory CollaboratorsGlobal prevalence, cascade of care and prophylaxis coverage of hepatitis B in 2022: a modelling study. Lancet Gastroenterol Hepatol. 2023; (published online July 27.)https://doi.org/10.1016/S2468-1253(23)00197-8 Google Scholar the focus of validation should be on methods and strategies to improve good quality data in these countries. Each country is likely to have unique impediments and challenges with regard to data and validation that have not been elaborated, and whether these barriers can be overcome is an issue not just of political will, but also of leadership, infrastructure, and funding. The Polaris Observatory authors note that there are limitations to their data, such as a lack of recent data in some countries, differences between rural and urban areas, and effects of immigration. As more updated data become available, and resolution of such limitations are overcome, estimates of disease burden are likely to change, but certainty with regard to estimates can only be clearer when the confidence intervals narrow. The ten countries that drive most of the uncertainty include four of the five countries contributing 58% of the disease burden (the range of uncertainty being around 7 million in Nigeria, 6 million in China, 4 million in India, and 3 million in Indonesia); thus, strategies to improve data quality from these countries are necessary. Global prevalence, cascade of care, and prophylaxis coverage of hepatitis B in 2022: a modelling studyAs 2030 approaches, the elimination targets remain out of reach for many countries under the current frameworks. Although prevention measures have had the most success, there is a need to increase these efforts and to increase diagnosis and treatment to work towards the elimination goals. Full-Text PDF
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
15秒前
帅气的安柏完成签到,获得积分10
18秒前
科研cc应助唐泽雪穗采纳,获得40
29秒前
科研cc应助唐泽雪穗采纳,获得80
29秒前
科研cc应助唐泽雪穗采纳,获得80
29秒前
科研cc应助唐泽雪穗采纳,获得70
29秒前
33秒前
47秒前
53秒前
唐泽雪穗发布了新的文献求助70
54秒前
58秒前
淡然的妙芙应助飞天大南瓜采纳,获得200
1分钟前
莫名是个小疯子给扶桑的求助进行了留言
1分钟前
olivia完成签到,获得积分10
1分钟前
2分钟前
2分钟前
唐泽雪穗发布了新的文献求助80
2分钟前
2分钟前
例外发布了新的文献求助10
2分钟前
顾矜应助例外采纳,获得10
2分钟前
科研通AI2S应助科研通管家采纳,获得10
2分钟前
科研通AI2S应助科研通管家采纳,获得10
2分钟前
莫名是个小疯子给落寞臻的求助进行了留言
2分钟前
3分钟前
唐泽雪穗发布了新的文献求助80
3分钟前
3分钟前
莫名是个小疯子给xpeng的求助进行了留言
4分钟前
例外发布了新的文献求助10
4分钟前
科研通AI5应助例外采纳,获得10
4分钟前
4分钟前
唐泽雪穗发布了新的文献求助40
4分钟前
科研通AI2S应助科研通管家采纳,获得10
4分钟前
5分钟前
研友_892kOL完成签到,获得积分0
5分钟前
5分钟前
5分钟前
量子星尘发布了新的文献求助10
5分钟前
科研通AI5应助小熊采纳,获得20
6分钟前
6分钟前
小熊完成签到,获得积分10
6分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of Milkfat Fractionation Technology and Application, by Kerry E. Kaylegian and Robert C. Lindsay, AOCS Press, 1995 1000
A novel angiographic index for predicting the efficacy of drug-coated balloons in small vessels 500
Textbook of Neonatal Resuscitation ® 500
The Affinity Designer Manual - Version 2: A Step-by-Step Beginner's Guide 500
Affinity Designer Essentials: A Complete Guide to Vector Art: Your Ultimate Handbook for High-Quality Vector Graphics 500
Optimisation de cristallisation en solution de deux composés organiques en vue de leur purification 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5078273
求助须知:如何正确求助?哪些是违规求助? 4297068
关于积分的说明 13387809
捐赠科研通 4119729
什么是DOI,文献DOI怎么找? 2256199
邀请新用户注册赠送积分活动 1260513
关于科研通互助平台的介绍 1194073