Evidence map›Paper›PMID 39878378›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2025

Association of Pulse Prssure Index With Mortality in Patients With Hypertension: Results From NHANES 1999-2018.

Hongjin Jin, Shusheng Fang, Shuo An, Yanchun Ding

Abstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 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

4 authors.

Hongjin JinDepartment of Cardiology, The Second Hospital of Dalian Medical University, Dalian, China.
Shusheng FangDepartment of Critical Care Medicine, The Second Hospital of Dalian Medical University, Dalian, China.
Shuo AnDepartment of Cardiology, The Second Hospital of Dalian Medical University, Dalian, China.
Yanchun DingDepartment of Cardiology, The Second Hospital of Dalian Medical University, Dalian, China.ORCID 0009-0001-9296-8689

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vascular compliance is an important predictor of cardiovascular disease and mortality. Pulse pressure index (PPI) is a reliable indicator for evaluating vascular compliance. However, the association between PPI, all-cause mortality (ACM), and cardiovascular mortality (CVM) in patients with hypertension is still unclear. In this study, we aimed to investigate the association of PPI with ACM and CVM in patients with hypertension. Kaplan-Meier survival curves, Cox proportional hazards regression models, restricted cubic splines, and subgroup and interaction analyses were used to investigate the association of PPI with ACM and CVM. U-shaped associations were observed between PPI and both ACM and CVM, and the inflection points for ACM and CVM were at PPI values of 0.327 and 0.363, respectively. Time-dependent receiver operating characteristic curves indicated that PPI showed good predictive value for both ACM and CVM occurrence at 1, 3, 5, and 10 years, and its predictive value was higher than PP for ACM and CVM at 5 and 10 years. These results showed that PPI can be used to identify patients with hypertension who are at a high risk of mortality and can guide more aggressive anti-hypertensive treatment strategies. Moreover, these findings demonstrate that PPI is a superior vascular compliance indicator than PP.

Indexed as

Blood PressureCardiovascular DiseasesHypertensionVascular StiffnessAdultAgedFemaleHumansKaplan-Meier EstimateMaleMiddle AgedNutrition SurveysPredictive Value of TestsProportional Hazards ModelsRisk FactorsROC Curveall‐cause mortalitycardiovascular mortalityhypertensionpulse pressurepulse pressure index

Identifiers

PMID39878378
PMCPMC11775918

What Socratic holds

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Registered trials

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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.