Cited by 41Gestational Diabetes Research and ManagementDiabetes Management and ResearchDiabetes, Cardiovascular Risks, and Lipoproteins

The DOI matches its Crossref record; 219 of the 220 references it cites were found in a registry or an index, and 1 are not checked yet; 162 of the 329 sources its claims cite were checked for support.

Evolution of Gestational Diabetes Mellitus across Continents in 21st Century

Open access
Dłuski, Dominik Franciszek, Ruszała, Monika, Rudziński, Gracjan, Pożarowska, Kinga, Brzuszkiewicz, Kinga, Leszczyńska-Gorzelak, Bożena·2022·International Journal of Environmental Research and Public Health

Abstract

Over the last few decades, several definitions of gestational diabetes mellitus (GDM) have been described. There is currently not enough research to show which way is the best to diagnose GDM. Opinions differ in terms of the optimal screening and diagnostic measures, in part due to the differences in the population risks, the cost-effectiveness considerations, and the lack of an evidence base to support large national screening programs. The basic method for identifying the disease is the measurement of glucose plasma levels which may be determined when fasting, two hours after a meal, or simply at any random time. The currently increasing incidence of diabetes in the whole population, the altering demographics and the presence of lifestyle changes still require better methods of screening for hyperglycemia, especially during pregnancy. The main aim of this review is to focus on the prevalence and modifications to the screening criteria for GDM across all continents in the 21st century. We would like to show the differences in the above issues and correlate them with the geographical situation. Looking at the history of diabetes, we are sure that more than one evolution in GDM diagnosis will occur, due to the development of medicine, appearance of modern technologies, and the dynamic continuation of research.

Verified 2026-10-20 · 1 reference not checked yet

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This narrative review surveys global variation in gestational diabetes mellitus (GDM) prevalence and screening/diagnostic criteria across continents in the 21st century. It shows that prevalence estimates and diagnostic practices remain highly heterogeneous, with adoption of IADPSG/WHO 2013 criteria often increasing diagnosed GDM and many regions lacking uniform or population-based data.

Key findings

  • Pooled/regional GDM prevalence estimates vary widely: IDF 2021 reported 7.1% in North America and the Caribbean, 10.4% in South and Central America, and 7.8% in Europe; Asian country estimates ranged from 1.2% to 49.5%.
  • Switching to IADPSG/WHO 2013 criteria commonly raised diagnosed prevalence: Australia’s incidence increased from 20% to 75%; Canada from 7.0% (two-step) to 16.1% (one-step); Switzerland from 3.3% to 11.8%; Slovenia from 2.6% to 9.7%; Ireland from 3.1% in 2008 to 14.8% in 2017.
  • In Africa, pooled GDM prevalence was 13.61% overall and 14.28% in sub-Saharan Africa, with the lowest in Northern Africa (7.57%) and highest in Central Africa (20.4%); risk factors included overweight/obesity (OR 3.51), previous GDM (OR 14.16), and hypertension (OR 2.49).
  • Screening approaches remain non-uniform: the US uses one-step or two-step strategies, Mexico has no recommended screening protocol, the UK uses selective NICE risk-factor screening, and many countries/territories (e.g., Paraguay, Suriname, Bolivia, Venezuela; Lebanon, Syria; several European countries) had no studies found.

Methods

  • Design: narrative review of published literature and national/international guidelines on GDM prevalence and screening/diagnostic criteria.
  • Data: studies and reports from Australia/New Zealand, Africa, North America, South America, Europe, and Asia, including IDF Diabetes Atlas 2021 regional estimates and country-specific prevalence studies.
  • Analysis: descriptive, country-by-country synthesis of prevalence estimates and criteria; no new primary data collection or formal meta-analysis is reported.

Limitations

  • The paper states there is insufficient research to determine the best GDM diagnostic approach, a lack of evidence for large national screening programs, and non-uniform diagnostic protocols that hinder prevalence comparisons.
  • It also notes absent or limited population-based data for many regions/countries (e.g., Mexico, South America, Africa, and numerous European and Asian countries).
  • Evident from the text: as a narrative review without a described systematic search or quality appraisal, it draws on heterogeneous studies and criteria, so the reported prevalence figures are not directly comparable.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.3390/ijerph192315804

Cites

219 of 220 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Figures

Figure 1 The scheme prepared according to “Guia de practica clinica Diagnostico y tratamiento de diabetes en el embarazo, CENETEC 2016” [53].
Figure 1 The scheme prepared according to “Guia de practica clinica Diagnostico y tratamiento de diabetes en el embarazo, CENETEC 2016” [53].CC BY · PubMed Central
Figure 2 Gestational diabetes mellitus in Asia—the estimated prevalence is shown in percentages across the countries, 2022.
Figure 2 Gestational diabetes mellitus in Asia—the estimated prevalence is shown in percentages across the countries, 2022.CC BY · PubMed Central

Verification

Claims the paper makes

75 Supported · 65 No full text of the sources · 63 Not checked yet · 55 Partly supported · 9 Couldn’t confirm · 7 Not supported · 4 Supported so far · 3 Mixed support · 3 No basis given · 2 Sources not found · 1 Own interpretation · accuracy not yet measured

Verify all 77 references — free account
  • It may state two separate claims as one. 111
  • The quote only partly states this claim. 1
  • Probably not a substantial claim. 27
130 of 130

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

6 of 6

Citations

Cites

Show all 218 references

Research works printed but not linked: 15

  1. Lewandowski, 2022, High prevalence of early (1st trimester) gestational diabetes mellitus in Polish women is accompanied by marked insulin resistance—Comparison to PCOS model, Endokrynol. Pol., 73, 1
  2. Berghella, 2019, The One Step test: The better diagnostic approach for gestational diabetes mellitus, OBG Manag., 31, 22
  3. 1993, Experiencia con un programa de escrutinio de diabetes gestacional, Rev. Investig. Clin., 45, 453
  4. Salzberg, 1995, Recomendationes para gestantes con diabetes, Rev. SAD, 29, 49
  5. Lagos, 2015, Diabetes gestacional en el Hospital de Carabineros de Chile, Rev. Obstet. Gynecol., 10, 81
  6. Huidobro, 2017, Association of ABO blood groups with gestational diabetes mellitus, Rev. Med. Chile, 145, 431
  7. 2021, Prevalence of gestational diabetes and identification of associated factors and maternal-perinatal outcomes in Colombia following the implementation of the IADPSG criteria, Rev. Fac. Med., 69, e200
  8. Huy, 2012, Prävalenz, Trend und Determinanten des Gestationsdiabetes in Deutschland, Geburtsh Frauenheilkd, 72, 311
  9. Reeske, 2012, Unterschiede in der Gestationsdiabetes inzidenz im Vergleich zwischen türkischstämmigen und deutschen Frauen: Eine Analyse von Abrechnungsdaten der AOK Berlin, 2005–2007, Geburtsh Frauenheilkd, 72, 305
  10. Handisurya, 2009, Gestationsdiabetes, J. Klin. Endokrinol. Stoffw., 2, 7
  11. 2014, Alarmující výskyt gestačního diabetes mellitus při použití stávajících i nových mezinárodních diagnostických kritérií, Ceska Gynekol., 79, 213
  12. Juliusdottir, 2019, Prescribing physical activity after labour, for women diagnosed with gestational diabetes mellitus, Laeknabladid, 105, 555
  13. Ajazi, 2015, Gestational diabetes as a risk factor for preeclampsia, Alban. Med. J., 2, 47
  14. Kirss, 2015, Gestational diabetes: Risk factors and prevalence at the Women’s Clinic of Tartu University Hospital 2012–2013, Est. Physician, 94, 75
  15. (2022, July 20). Available online: https://hdl.handle.net/20.500.12512/96184.

Cited by

Sorted by citations

See all 41

Metadata

Authors
Dłuski, D. F., Ruszała, M., Rudziński, G., Pożarowska, K., Brzuszkiewicz, K., & Leszczyńska-Gorzelak, B.
Affiliations
  • Medical University of Lublin (PL)
  • Chair and Department of Obstetrics and Perinatology, Medical University of Lublin, 20-954 Lublin, Poland
Corresponding author
Dłuski, Dominik Franciszek
Venue
International Journal of Environmental Research and Public Health
Publisher
MDPI AG
Published
2022-11-28
Volume
19
Issue
23
Pages
15804
ISSN
1660-4601 (ISSN-L)
OpenAlex
W4310230692
Cited by
41
References
218
Citations by year
2026: 14 · 2025: 11 · 2024: 13 · 2023: 3
FWCI
5.81
Type
journal article
Language
en
Open access
Locations
  • International Journal of Environmental Research and Public Health (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • PubMed Central (submittedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Health Sciences › Medicine › Obstetrics and Gynecology › Gestational Diabetes Research and Management
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
Keywords
gestational diabetes mellitus, GDM diagnosis, hyperglycemia in pregnancy, history of diabetes, cost-effectiveness of screening
MeSH terms
Blood Glucose, Fasting, Female, Glucose Tolerance Test, Humans, Hyperglycemia, Pregnancy, Diabetes, Gestational

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

A language model drew the claims from the paper on 2026-10-20, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-10-20 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Cited sources are checked with a language model’s help (gpt-6-sol).

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review