Evidence mapPaperPMID 41807128Full record

ReviewJournal of diabetes science and technology2026

"Mellitus Metrics"-Systematic Review of Glucometric Reporting within Hospital-Based Diabetes Studies (2006-2023).

Ji Won Susie Yoo, Ray Wang, Mervyn Kyi, Spiros Fourlanos, Rahul D Barmanray

Abstract readReview
In one paragraph

Review in Journal of diabetes science and technology, 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

5 authors.

Ji Won Susie YooDepartment of Diabetes & Endocrinology, The Royal Melbourne Hospital, Parkville, VIC, Australia.ORCID 0009-0005-1601-4137
Ray WangDepartment of Diabetes & Endocrinology, The Royal Melbourne Hospital, Parkville, VIC, Australia.ORCID 0000-0002-6145-9726
Mervyn KyiDepartment of Diabetes & Endocrinology, The Royal Melbourne Hospital, Parkville, VIC, Australia.
Spiros FourlanosDepartment of Diabetes & Endocrinology, The Royal Melbourne Hospital, Parkville, VIC, Australia.
Rahul D BarmanrayDepartment of Diabetes & Endocrinology, The Royal Melbourne Hospital, Parkville, VIC, Australia.ORCID 0000-0002-1433-2239

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSuboptimal inpatient glycemia is associated with adverse outcomes, including infection, length of stay, and hospitalization costs. Interventions to improve inpatient glycemia may benefit from standardization of in-hospital glycemic measurement and reporting."Glucometrics," as coined by Goldberg et al (2006), proposes models and metrics that allow quantitative inpatient glycemic data analysis. This systematic review investigates the actual use of "glucometric" terminology and its derivations since conception.

methodsOriginal research articles on "glucometrics" and its derivations in inpatient contexts, published between 2006 and 2023, were searched in five databases. Studies were screened and extracted through PRISMA-compliant review software (Covidence®) and systematically reviewed.

resultsOf 767 studies identified, 44 were included for final review. Study settings included non-critical care wards (n=19), critical care (n=6), and both (n=13). Of the Goldberg models, "patient-day" was most used (n=33). Most studies (n=30) referred to "glucometrics" per the original description. An increase in the introduction of new metrics (e.g., time-weighted averages, adverse glycemic days, and glucose excursions) was seen over the study period, as well as an increase in the use of "glucometric" to refer to glycemic measurement/reporting in general.Significant variation in thresholds defining hyperglycemia/hypoglycemia existed between studies, where hyperglycemia ranged between 140 and 432 mg/dL (most commonly 300 mg/dL), while the hypoglycemia ranged between 40 and 70 mg/dL (most commonly 70 mg/dL).

conclusionThis systematic review provides insights into contemporary use of glucometric terminology, highlighting the lack of consensus on a standardized approach toward analyzing inpatient glycemia, and the need for glucometric harmonization to improve inpatient glycemia and diabetes care.

Indexed as

adverse glycemic daydiabetesglucometricshospitalinpatientpatient day mean glucose

Identifiers

PMID41807128
PMCPMC12979227

What Socratic holds

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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 Socratic graph.