Evidence map›Paper›PMID 42373194›Full record

SynthesisBMJ open diabetes research & care2026

Hyperosmolar hyperglycaemic state: a systematic review and meta-analysis.

James French, Lucy Bomphrey, Aspasia Manta, Katie Scandrett, Kashish Malhotra, Punith Kempegowda

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMJ open diabetes research & care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

James FrenchDepartment of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, UK.ORCID http://orcid.org/0000-0002-6725-9426
Lucy BomphreyDepartment of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, UK.ORCID http://orcid.org/0009-0006-2584-5693
Aspasia MantaDepartment of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, UK.ORCID http://orcid.org/0000-0002-3420-1420
Katie ScandrettDepartment of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, UK.
Kashish MalhotraDepartment of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, UK.
Punith KempegowdaDepartment of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, UK p.kempegowda@bham.ac.uk.ORCID http://orcid.org/0000-0003-0954-6512

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current knowledge of hyperosmolar hyperglycaemic state (HHS) is drawn from case series and small observational cohorts, limiting applicability to broader clinical practice. There is a lack of robust, large-scale studies exploring triggers of HHS and associated mortality. This absence of reliable data impedes prevention strategies, tailored clinical guidelines, and equitable resource allocation. We conducted this systematic review to aggregate all relevant HHS cases, explore precipitating factors and outcomes, and how these vary by region. Searches across Ovid, PubMed, EMBASE, MEDLINE, Scopus, Web of Science, and Cochrane Library followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Studies reporting HHS cases from database inception to February 2025 were selected. Data on demographics, biochemical results, precipitants, outcomes, and complications were collected. 27 studies with a total of 63 935 cases were included. The median age was 63.8 years (IQR: 56.1-72.0). Common precipitants were non-infective illness (49.5%), infection (44.0%), and new diabetes diagnosis (31.7%). Intensive treatment unit admission was 40.8%, with the highest rate in North America (70.0%). Median hospital stay was 7.5 days, longest in Asia (17.5 days) and shortest in North and South America (4.0 days). Overall mortality was 21.1%, highest in Africa (40.0%), followed by Asia (18.2%), and lowest in North America (4.8%). Complications were acute kidney injury (7.6%), pulmonary oedema (4.8%), and acute coronary syndrome (3.9%). HHS presents with similar biochemistry globally, but outcomes vary significantly. Reducing mortality requires better diabetes diagnosis, harmonised protocols, and resource-adapted management to reduce gaps and inform prevention guidelines.

Indexed as

Hyperglycemic Hyperosmolar Nonketotic ComaHumansDiabetes Mellitus, Type 2Hyperglycemia

Identifiers

PMID42373194
PMCPMC13331110

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Registered trials

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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 OpenQuestion graph.