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

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.

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Journal
BMJ Nutrition Prevention & Health
Published
2026-02-09
DOI
https://doi.org/10.1136/bmjnph-2024-000877
Primary Topic
Gestational Diabetes Research and Management
Type
article
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article

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

Pranav Machiraju, S Colagiuri, Yumeng Shi, Kate Meads
BMJ Nutrition Prevention & Health
Gestational Diabetes Research and Management
article

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

Pranav Machiraju, S Colagiuri, Yumeng Shi, Kate Meads
article en

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.

BMJ Nutrition Prevention & Health
The University of Sydney (AU)
Good health and well-being
Openalex Percentile: Top 65%
Gestational Diabetes Research and Management
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Predicting pre-diabetes progression: a systematic review and meta-analysis — Pranav Machiraju, S Colagiuri, et al. · BMJ Nutrition Prevention & Health (2026) | TGRS Research Map | TGRS