Evidence map›Paper›PMID 42341058›Full record

ArticlePloS one2026

Family history of diabetes and glycemic progression: A propensity score-based analysis using health checkup data.

Sangtaek Oh, Seongtae Kim, Jaesuk Yun, Jung Kee Min, Hee-Jung Jee, Tae-Young Heo

Abstract read
In one paragraph

Article in PloS one, 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.

Sangtaek OhDepartment of Information Statistics, Chungbuk National University, Cheongju-si, Chungcheongbuk-do, Republic of Korea.
Seongtae KimDepartment of Mathematics and Statistics, North Carolina A&T State University, Greensboro, North Carolina, United States of America.
Jaesuk YunCollege of Pharmacy, Chungbuk National University, Cheongju-si, Chungcheongbuk-do, Republic of Korea.
Jung Kee MinDepartment of Ophthalmology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea.
Hee-Jung JeeDepartment of Information Statistics, Chungbuk National University, Cheongju-si, Chungcheongbuk-do, Republic of Korea.ORCID https://orcid.org/0000-0003-0811-3053
Tae-Young HeoDepartment of Information Statistics, Chungbuk National University, Cheongju-si, Chungcheongbuk-do, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFamily history of diabetes mellitus (FH_ DM) is a well-established risk factor for diabetes, but most studies have focused on disease incidence rather than glycemic changes over time. Understanding how FH_ DM affects the magnitude of change in blood glucose biomarkers before clinical diagnosis can inform earlier intervention strategies and optimize screening intervals.

methodsWe analyzed standardized health checkup data from Korean adults aged 20 years or older with repeated measurements over approximately 2-year (n = 25,647) and 4-year (n = 12,831) intervals. Using propensity score matching (PSM), inverse probability of treatment weighting (IPTW), and doubly robust (DR) estimation, we estimated the average treatment effect of FH_ DM on changes in fasting blood glucose (FBG) and hemoglobin A1c (HbA1c). The analytic cohort included individuals with normoglycemia, prediabetes, and diabetes. Sensitivity analyses using robustness values assessed potential unmeasured confounding.

findingsAfter adjusting for 49 measured confounders, individuals with FH_ DM showed consistently greater glycemic progression than those without FH_ DM across all methods. Over 2 years, HbA1c showed a 0.02% greater increase (95% CI: 0.01-0.03) and FBG showed a 0.3 mg/dL greater increase (95% CI: 0.1-0.6) in the FH_ DM group. Over 4 years, the difference in FBG change was 1.3-1.9 mg/dL. Results remained robust when excluding individuals on diabetes medication and across sensitivity analyses.

conclusionsFamily history of diabetes is independently associated with greater glycemic progression across the normoglycemia-to-diabetes spectrum, even after rigorous adjustment for confounding. These findings support the use of FH_ DM as a practical marker for risk-stratified screening strategies. Individuals with FH_ DM may benefit from more frequent glucose monitoring and earlier preventive interventions to delay or prevent diabetes onset.

Indexed as

Blood GlucoseDiabetes MellitusDiabetes Mellitus, Type 2AdultDisease ProgressionFemaleGlycated HemoglobinHumansMaleMiddle AgedPrediabetic StatePropensity ScoreRepublic of KoreaRisk FactorsBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID42341058
PMCPMC13293398

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.