Evidence map›Paper›PMID 37196350›Full record

ReviewDiabetes care2023

Global Prevalence of Prediabetes.

Mary R Rooney, Michael Fang, Katherine Ogurtsova, Bige Ozkan, Justin B Echouffo-Tcheugui, Edward J Boyko, Dianna J Magliano, Elizabeth Selvin

Registry-linked trialOpen access · bronzeAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Diabetes care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07371546 (Continuous Glucose Monitoring), which is not on this map. Cited by 275 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
275citing papers in PubMed, 9 pooled it
94.7field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07371546 narecruitingnot on this mapstarted 2025, after this paper: background citation

Continuous Glucose Monitoring (CGM) in Prediabetes: A Mixed-Methods Study Exploring Behavioural Impact, Patient Experiences and Provider Perspectives

TypeinterventionalSponsorSingHealth PolyclinicsRan2025 to 2026Enrolled76ConditionsPre-diabetesArmsContinuous Glucose Monitoring
3 · Its place in the literature

Who cites it

275 citing papers in PubMed, 9 syntheses or guidelines pooled it, 471 citations in OpenAlex.

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  9. Effects of celery (Frontiers in nutrition · 2025
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  16. Gut microbes · 2025
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215 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 3 countries.

Mary R Rooney1Department of Epidemiology and Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.ORCID 0000-0002-5607-4848
Michael Fang1Department of Epidemiology and Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.ORCID 0000-0003-2849-1780
Katherine Ogurtsova2Environmental Epidemiology Group, Institute of Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Bige Ozkan1Department of Epidemiology and Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Justin B Echouffo-Tcheugui3Division of Endocrinology, Diabetes and Metabolism, Johns Hopkins University, Baltimore, MD.ORCID 0000-0002-8460-1617
Edward J Boyko4Seattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, Seattle, WA.ORCID 0000-0002-3695-192X
Dianna J Magliano5Baker Heart and Diabetes Institute & School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.ORCID 0000-0002-9507-6096
Elizabeth Selvin1Department of Epidemiology and Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.ORCID 0000-0001-6923-7151
Johns Hopkins University · USBaker Heart and Diabetes Institute · AUDüsseldorf University Hospital · DEVA Puget Sound Health Care System · US

Funding

NHLBI NIH HHS K24 HL152440
6 · The paper itself

Abstract

objectiveTo estimate the global, regional, and national prevalence of prediabetes, defined by impaired glucose tolerance (IGT) or impaired fasting glucose (IFG). RESEARCH DESIGN AND

methodsWe reviewed 7,014 publications for high-quality estimates of IGT (2-h glucose, 7.8-11.0 mmol/L [140-199 mg/dL]) and IFG (fasting glucose, 6.1-6.9 mmol/L [110-125 mg/dL]) prevalence for each country. We used logistic regression to generate prevalence estimates for IGT and IFG among adults aged 20-79 years in 2021 and projections for 2045. For countries without in-country data, we extrapolated estimates from countries with available data with similar geography, income, ethnicity, and language. Estimates were standardized to the age distribution for each country from the United Nations.

resultsApproximately two-thirds of countries did not have high-quality IGT or IFG data. There were 50 high-quality studies for IGT from 43 countries and 43 high-quality studies for IFG from 40 countries. Eleven countries had data for both IGT and IFG. The global prevalence of IGT in 2021 was 9.1% (464 million) and is projected to increase to 10.0% (638 million) in 2045. The global prevalence of IFG in 2021 was 5.8% (298 million) and is projected to increase to 6.5% (414 million) in 2045. The 2021 prevalence of IGT and IFG was highest in high-income countries. In 2045, the largest relative growth in cases of IGT and IFG would be in low-income countries.

conclusionsThe global burden of prediabetes is substantial and growing. Enhancing prediabetes surveillance is necessary to effectively implement diabetes prevention policies and interventions.

Indexed as

Glucose IntolerancePrediabetic StateAdultAgedBlood GlucoseEthnicityFastingHumansMiddle AgedPrevalenceYoung AdultBlood Glucose

Identifiers

PMID37196350
PMCPMC10442190
OpenAlexW4376868102

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.