Predicting pre-diabetes progression: a systematic review and meta-analysis.

IF 2.6 Q2 NUTRITION & DIETETICS
BMJ Nutrition, Prevention and Health Pub Date : 2026-02-09 eCollection Date: 2026-01-01 DOI:10.1136/bmjnph-2024-000877
Kate Meads, Pranav Machiraju, Yumeng Shi, Stephen Colagiuri
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引用次数: 0

Abstract

Background: Pre-diabetes is a well-known risk factor for diabetes, a major contributor to morbidity and mortality globally. Identifying patients at highest risk of developing diabetes facilitates early intervention. There is no consensus on diagnostic criteria, with no single modality or range shown to be most predictive of progression to diabetes.

Purpose: This systematic review and meta-analysis aimed to determine which single or combination biochemical test(s) and definition of pre-diabetes best predict progression to diabetes.

Methods: Following primary screening of 11 980 papers from MEDLINE, Embase and Global Health, 40 original studies published between 2006 and 2024 looking at adults with pre-diabetes were included. Children, pregnant patient populations and groups with significant morbidity were excluded. Risk of bias was assessed with the JBI Critical Appraisal Checklist.

Results: Our meta-analysis demonstrated the highest risk of progression to diabetes in the impaired fasting glucose (IFG) 6.1-6.9 mmol/L group, with an HR of 9.0 (4.6 to 13.5). Descriptive statistics identified the combination of IFG 6.1-6.9 mmol/L + impaired glucose tolerance + HbA1c 6.0%-6.4% had the highest percent incidence of diabetes per year, at 15.2%. Generally, combination tests were associated with higher progression rates.

Conclusions: Certain single and combination biochemical test combinations may allow better identification of patients with pre-diabetes likely to progress to diabetes. To our knowledge, this is the first systematic review evaluating all testing combinations of these categories in progression and comparing pre-diabetes states as defined by multiple guidelines. This study (PROSPERO CRD42022312640) did not receive funding.

预测糖尿病前期进展:系统回顾和荟萃分析。
背景:糖尿病前期是糖尿病的一个众所周知的危险因素,是全球发病率和死亡率的主要因素。识别患糖尿病风险最高的患者有助于早期干预。在诊断标准上没有共识,没有单一的模式或范围被证明是最能预测糖尿病进展的。目的:本系统综述和荟萃分析旨在确定哪种单一或联合生化试验以及糖尿病前期的定义最能预测糖尿病的进展。方法:在MEDLINE、Embase和Global Health的11,980篇论文中进行初步筛选后,纳入了2006年至2024年间发表的40篇针对糖尿病前期成人的原始研究。排除了儿童、孕妇患者和有显著发病率的人群。偏倚风险采用JBI关键评估清单进行评估。结果:我们的荟萃分析显示,空腹血糖受损(IFG)为6.1-6.9 mmol/L的组进展为糖尿病的风险最高,HR为9.0(4.6 - 13.5)。描述性统计表明,IFG 6.1-6.9 mmol/L +糖耐量受损+ HbA1c 6.0%-6.4%的组合每年糖尿病发病率最高,为15.2%。通常,联合试验与较高的进展率相关。结论:某些单一和联合生化试验组合可以更好地识别可能进展为糖尿病的糖尿病前期患者。据我们所知,这是第一次系统评价这些类别在进展中的所有检测组合,并比较由多个指南定义的糖尿病前期状态。本研究(PROSPERO CRD42022312640)未获得资助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMJ Nutrition, Prevention and Health
BMJ Nutrition, Prevention and Health Nursing-Nutrition and Dietetics
CiteScore
5.80
自引率
0.00%
发文量
34
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