Evidence mapPaperPMID 41877930Full record

ArticleFrontiers in endocrinology2026

The association between family history of hypertension and diabetic kidney disease in patients with diabetes: a cross-sectional study.

Yuwei Xing, Xusheng Yang, Qianqian Zhao

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 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

3 authors.

Yuwei Xing *Department of Endocrinology, The Second Hospital of Shijiazhuang, Shijiazhuang, China.
Xusheng Yang *Department of Nephrology, Beijing Rehabilitation Hospital, Affiliated to Capital Medical University, Beijing, China.
Qianqian ZhaoDepartment of Endocrinology, The Second Hospital of Shijiazhuang, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The contribution of a family history of hypertension (HH) to diabetic kidney disease (DKD) pathogenesis remains unclear. Investigating this association is crucial for refining risk stratification and enabling early intervention in patients with type 2 diabetes (T2D). This study examined whether a HH is associated with higher odds of DKD among individuals with T2D. Methods: Participants with T2D were grouped according to the presence or absence of a family history of hypertension. Propensity score matching (PSM) was used to mitigate potential confounding factors from baseline clinical features across the comparative groups. To evaluate robustness against confounding and missingness, we applied multivariable logistic regression and E-value analysis and then performed PSM on the dataset after multiple imputation. Results: The final analytical data comprised 1,612 individuals fulfilling the diagnostic criteria for T2D, comprising 1,419 without HH and 193 with HH. After PSM, 386 patients (193 patients per group) were included. PSM analysis yielded an odds ratio (OR) of 2.57 (95% CI: 1.48-4.46, Discussion: In this cross-sectional study, a history of familial hypertension was significantly associated with higher odds of DKD in individuals with T2D. Given the cross-sectional design, causality and temporal direction cannot be established; prospective studies are needed to determine whether familial hypertension contributes to DKD development and progression.

Indexed as

Diabetes Mellitus, Type 2Diabetic NephropathiesHypertensionAgedCross-Sectional StudiesFemaleHumansMaleMedical History TakingMiddle AgedPropensity ScoreRisk Factorsfamily historyhypertensionkidneypropensity score matchingtype 2 diabetes

Identifiers

PMID41877930
PMCPMC13006290

What Socratic 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 Socratic graph.