Evidence map›Paper›PMID 42144576›Full record

ArticleGenetics research2026

Hypertension, Dyslipidemia, and Adhesive Capsulitis: A Bidirectional Two-Sample Mendelian Randomization Study of the European Population.

Jianxu Wang, Yijun Xin, Bin Li, Siying Li, Guang Yang

Abstract read
In one paragraph

Article in Genetics research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Jianxu WangDepartment of Joint Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China, sph.com.cn.ORCID 0009-0006-3007-2402
Yijun XinMetabolism and Diseases Research Center, Central Hospital Affiliated to Shandong First Medical University, Jinan, 250013, Shandong, China, sdu.edu.cn.ORCID 0009-0003-0640-4866
Bin LiMetabolism and Diseases Research Center, Central Hospital Affiliated to Shandong First Medical University, Jinan, 250013, Shandong, China, sdu.edu.cn.ORCID 0009-0001-4075-4451
Siying LiMetabolism and Diseases Research Center, Central Hospital Affiliated to Shandong First Medical University, Jinan, 250013, Shandong, China, sdu.edu.cn.ORCID 0000-0001-6906-8394
Guang YangDepartment of Joint Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China, sph.com.cn.ORCID 0000-0003-1221-1334

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhether hypertension and dyslipidemia are risk factors for adhesive capsulitis (AC) remains controversial. Many observational studies have reported conflicting results. However, observational studies are susceptible to confounding and reverse causation, limiting the ability to establish causality. Therefore, a robust method is needed to clarify these relationships.

methodsWe first conducted a hospital-based case-control study that included 200 AC patients and 200 controls. Multivariate logistic regression was used to examine the associations of hypertension and dyslipidemia with AC after adjusting for potential confounders. To address the inherent limitations of observational studies, we then performed a two-sample Mendelian randomization (MR) analysis. We obtained datasets related to essential hypertension, dyslipidemia, and AC from a public genome-wide association study (GWAS) database. Inverse variance weighted (IVW) served as the primary analysis method. Sensitivity analyses included MR-PRESSO to detect outliers and pleiotropy and Cochran's Q test (combined with MR-Egger and IVW) to assess heterogeneity. The robustness of the findings was evaluated using a leave-one-out analysis. Finally, a bidirectional MR analysis was conducted by swapping the exposures and outcomes to test for reverse causality.

resultsIn the clinical case-control study, multivariate logistic regression revealed that age (OR: per year: 1.061, 95% CI: 1.034-1.089, p < 0.001) and diabetes (OR: 2.153, 95% CI: 1.271-3.646, p = 0.004) were independently associated with AC, whereas neither hypertension (OR: 1.406, 95% CI: 0.870-2.274, p = 0.164) nor dyslipidemia (OR: 1.760, 95% CI: 0.912-3.395, p = 0.092) showed a significant association with AC. Consistent with the observational findings, MR analysis detected no causal effect of hypertension or dyslipidemia on AC. However, reverse MR analysis identified a significant negative causal effect of AC on high-density lipoprotein (HDL) cholesterol (OR: 0.989, 95% CI: 0.982-0.997, p = 0.008) and a positive causal effect of AC on the apolipoprotein B/A1 ratio (OR: 1.018, 95% CI: 1.001-1.034, p = 0.033).

conclusionOur MR analysis revealed a negative causal effect from AC to HDL cholesterol and a positive causal effect from AC to the apolipoprotein B/A1 ratio. These findings provide evidence for the temporal sequence and reverse causal relationship between AC and dyslipidemia. The convergent results from both clinical and genetic analyses support the robustness of this causal relationship and highlight AC as a potential driver of lipid abnormalities. Therefore, these findings underscore the need for further experimental and mechanistic studies to elucidate the underlying biological mechanisms.

Indexed as

BursitisDyslipidemiasHypertensionCase-Control StudiesEuropean PeopleFemaleGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisMiddle AgedPolymorphism, Single NucleotideRisk Factorsadhesive capsulitiscausalitydyslipidemiahypertensionmendelian randomization

Identifiers

PMID42144576
PMCPMC13180687

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.