Evidence map›Paper›PMID 42428475›Full record

ArticleFrontiers in cardiovascular medicine2026

Pulse pressure and cardiometabolic disease progression: associations with incident multimorbidity and mortality in UK biobank.

Ting Lin, Shuai Hu, Wen Gong, Linqi Li, Zhaowei Zhu, Hebin Xie, Feijun Zhao

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 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

7 authors.

Ting Lin *School of Public Health, Hengyang Medical College, University of South China, Hengyang, Hunan, China.
Shuai Hu *School of Public Health, Hengyang Medical College, University of South China, Hengyang, Hunan, China.
Wen Gong *Department of Cardiology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Linqi LiCenter for Disease Control and Prevention of Mayang, Huaihua, Hunan, China.
Zhaowei ZhuDepartment of Cardiology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Hebin XieThe Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, China.
Feijun ZhaoThe Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although pulse pressure (PP) predicts individual cardiometabolic diseases (CMDs), its role in the progression of cardiometabolic multimorbidity (CMM) remains uncertain. This study aimed to investigate the association between PP and CMD progression, from incident CMD to CMM development and all-cause mortality. Methods: UK Biobank participants ( Results: Among 403,851 UK Biobank participants who were free of CMD at baseline, per 1-SD increase in PP was significantly associated with transitions from health to CMD (HR = 1.13, 95% CI: 1.12-1.14) and to CMM (HR = 1.18, 95% CI: 1.15-1.21), with Q4 versus Q1 comparisons indicating 36% higher risks for both outcomes. Notably, the PP-CMM association was strongest among patients with stroke, with an HR of 1.23 (95% CI: 1.11-1.36) per 1-SD increase. Subgroup analyses further showed that this association was most pronounced in participants aged < 60 years, women, and those with BMI 18.5 ≤ 25 kg/m Conclusion: Our study demonstrates that elevated PP is significantly associated with higher risks of CMD progression and mortality.

Indexed as

all-cause mortalitycardiometabolic diseasescardiometabolic multimorbiditypulse pressureUK biobank

Identifiers

PMID42428475
PMCPMC13348076

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.