中国慢性乙型肝炎治疗中低水平病毒血症的患病率:一项系统回顾和荟萃分析

IF 2.4 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Lu Xie, Guangwei Liu, Yanan Liu, Pengyu Li, Huijun Guo
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引用次数: 0

摘要

目的:低水平病毒血症(LLV)是影响慢性乙型肝炎(CHB)患者预后的危险因素。本研究的目的是系统地评估LLV的患病率,从而为有效的临床干预和预防LLV的措施提供强有力的循证医学见解。设计:系统回顾和荟萃分析。数据来源:对中国国家知识基础设施、万方数据(Wanfang Data)、中国科技期刊数据库(VIP-CSTJ)、中国生物医学光盘(CBMdisc)、PubMed、Embase、Web of Science和Cochrane图书馆等数据库进行了全面的文献检索,时间跨度从这些数据库建立到2024年1月5日。入选标准:研究类型包括以中国人群为研究对象的横断面研究或队列研究,结果为LLV。语言只限于中文和英文。有以下任何情况的研究被排除:有其他合并症的受试者,无法获得原始文章或数据,以及重复的出版物。数据提取与综合:采用EndNote X9.1进行文献管理,使用Microsoft Excel建立信息提取表,记录研究信息,包括第一作者、发表年份、研究类型。通过荟萃分析评估LLV的患病率。在RStudio中使用“metaprop()”函数进行meta分析。采用亚组分析和敏感性分析确定异质性来源,采用漏斗图和AS-Thompson检验评估发表偏倚。结果:18项研究纳入了9773例患者的总样本。其中,3336例患者被鉴定为LLV。荟萃分析显示,在接受治疗的CHB患者中,LLV的患病率为33.6% (95% CI 30.2至37.0)。抗原状态、抗病毒治疗方案(药物类型和核苷类似物(NAs))、治疗持续时间、药物依从性和基线乙型肝炎病毒DNA水平均影响LLV的患病率。敏感性分析进一步证实了这些荟萃分析结果的稳定性。漏斗图和AS-Thompson检验显示无显著发表偏倚(t = -0.01, p=0.995)。结论:CHB患者中LLV的患病率为33.7% (95% CI为29.8% ~ 37.6%)。因此,临床决策者在制定治疗方案时必须考虑到LLV的各种影响因素,以减轻潜在的不良后果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prevalence of low-level viremia in the treatment of chronic hepatitis B in China: a systematic review and meta-analysis.

Objectives: Low-level viremia (LLV) is a risk factor affecting the prognosis of patients with chronic hepatitis B (CHB). The objective of this study was to systematically assess the prevalence of LLV, thereby providing robust evidence-based medical insights into effective clinical interventions and preventative measures against LLV.

Design: Systematic review and meta-analysis.

Data sources: A comprehensive literature search was conducted across various databases, including China National Knowledge Infrastructure, Wanfang Data (Wanfang), China Science And Technology Journal Database (VIP-CSTJ), China Biology Medicine disc (CBMdisc), PubMed, Embase, Web of Science and the Cochrane Library, spanning from the inception of these databases up to 5 January 2024.

Eligibility criteria: The research type included either a cross-sectional study or a cohort study focusing on the Chinese population, with the outcome being LLV. The languages were limited to both Chinese and English. Studies with any of the following were excluded: subjects with other comorbidities, original articles inaccessible or data unavailable, and duplicate publications.

Data extraction and synthesis: Literature management used EndNote X9.1, and an information extraction table was created using Microsoft Excel to record research information, including first author, year of publication and study type. The prevalence of LLV was assessed via meta-analysis. Meta-analyses were conducted in RStudio using the 'metaprop ()' function. Subgroup analysis and sensitivity analysis were used to identify sources of heterogeneity, and funnel plots and AS-Thompson tests were employed to evaluate publication bias.

Results: 18 studies, encompassing a total sample of 9773 patients, were included in the analysis. Of these, 3336 patients were identified with LLV. The meta-analysis revealed that the prevalence of LLV among treated CHB patients stands at 33.6% (95% CI 30.2 to 37.0). The antigen status, antiviral treatment regimen (type of drugs and nucleos(t)ide analogues (NAs)), treatment duration, medication adherence and baseline hepatitis B virus DNA levels all affected the prevalence of LLV. Sensitivity analysis further corroborated the stability of these meta-analysis findings. The funnel plot and AS-Thompson test indicated no significant publication bias (t = -0.01, p=0.995).

Conclusions: The prevalence of LLV among CHB patients was established at 33.7% (95% CI 29.8% to 37.6%). Thus, it is imperative for clinical decision-makers to consider the various influencing factors of LLV when formulating treatment plans in order to mitigate any potential adverse outcomes.

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来源期刊
BMJ Open
BMJ Open MEDICINE, GENERAL & INTERNAL-
CiteScore
4.40
自引率
3.40%
发文量
4510
审稿时长
2-3 weeks
期刊介绍: BMJ Open is an online, open access journal, dedicated to publishing medical research from all disciplines and therapeutic areas. The journal publishes all research study types, from study protocols to phase I trials to meta-analyses, including small or specialist studies. Publishing procedures are built around fully open peer review and continuous publication, publishing research online as soon as the article is ready.
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