Evidence map›Paper›PMID 42769114›Full record

ArticleFrontiers in medicine2026

Joint blood pressure and resting heart rate trajectories and net adverse clinical events risk following PCI: an inverse probability of treatment weighting analysis.

Xinyu Xu, Yingbu Niu, Xueyun Zhao, Shikang Liu, Yuanyuan Shi, Qisheng Yan, Yang Wang, Juanli Li

Abstract read
In one paragraph

Article in Frontiers in 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

8 authors.

Xinyu XuDepartment of Cardiovascular Medicine, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Yingbu NiuSchool of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Xueyun ZhaoEmergency Room of Internal Medicine, Shaanxi Provincial People's Hospital, Xi'an, China.
Shikang LiuDepartment of Cardiovascular Medicine, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Yuanyuan ShiDepartment of Cardiovascular Medicine, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Qisheng YanSchool of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Yang WangDepartment of Cardiovascular Medicine, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Juanli LiDepartment of Cardiovascular Medicine, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Evidence is limited on the prospective prognostic value of longitudinal blood pressure (BP) and resting heart rate (RHR) dynamics after percutaneous coronary intervention (PCI). Aim: This study aimed to identify joint BP-RHR trajectories and evaluate their impact on net adverse clinical events (NACE). Methods: In a prospective post-PCI cohort, latent class trajectory modeling identified 6-month patterns of systolic BP, diastolic BP, and RHR, classifying patients into four joint trajectories. Inverse probability of treatment weighting (IPTW) was employed to rigorously balance baseline confounders. The primary endpoint was NACE. The incremental predictive value of the joint trajectories was assessed using the C-index, continuous net reclassification improvement (cNRI), and integrated discrimination improvement (IDI). Results: Among 736 patients (71 NACE events during follow-up), four distinct joint trajectory groups were identified: Double Stable ( Conclusion: Joint BP and RHR trajectories effectively stratify post-PCI NACE risk. Patients with combined fluctuations face the highest risk, highlighting the need for dynamic hemodynamic monitoring over static single-point assessments.

Indexed as

blood pressureinverse probabilitypercutaneous coronary interventionprognosistrajectory

Identifiers

PMID42769114
PMCPMC13590288

What Socratic holds

Textmetadata
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.