Evidence map›Paper›PMID 40192533›Full record

ArticleMetabolic syndrome and related disorders2025

Algorithm to Identify Type 2 Diabetes Using Electronic Health Record and Self-Reported Data.

Ben T Varghese, Marlene E Girardo, Ruchi Gupta, Karen M Fischer, Madison Duellman, Michelle M Mielke, Aoife M Egan, Janet E Olson, Adrian Vella, Kent R Bailey and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Metabolic syndrome and related disorders, 2025. 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

11 authors.

Ben T VargheseDivision of Hospital Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0002-4704-6183
Marlene E GirardoDepartment of Quantitative Health Sciences, Mayo Clinic, Scottsdale, Arizona, USA.
Ruchi GuptaDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Karen M FischerDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Madison DuellmanDepartment of Nursing, Mayo Clinic, Rochester, Minnesota, USA.
Michelle M MielkeDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Aoife M EganDivision of Endocrinology, Diabetes, and Metabolism, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0003-0379-9279
Janet E OlsonDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Adrian VellaDivision of Endocrinology, Diabetes, and Metabolism, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0001-6493-7837
Kent R BaileyDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Sagar B DuganiDivision of Hospital Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0001-7858-1317

Funding

Rural Patient Risks and Exposures for Diabetes ConTrol (Rural PREDICT)K23MD016230 · NIMHD · MAYO CLINIC ROCHESTER · PI DUGANI, CHANDRASAGAR · 2021 to 2025
$763k
NIMHD NIH HHS K23 MD016230
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AlgorithmsDiabetes Mellitus, Type 2Electronic Health RecordsSelf ReportAdultAgedBlood GlucoseFemaleGlycated HemoglobinHumansMaleMiddle AgedBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanalgorithmbiobankdiabeteselectronic health recordself-report

Identifiers

PMID40192533
PMCPMC12369842

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.