Evidence map›Paper›PMID 40124630›Full record

ArticleFrontiers in cardiovascular medicine2025

Establishment and validation of post-PCI nomogram in elderly patients with acute coronary syndromes.

Xing-Yu Zhu, Zhi-Meng Jiang, Xiao Li, Fei-Fei Su, Jian-Wei Tian

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Xing-Yu Zhu *Graduate School of Hebei North University, Zhangjiakou, Hebei, China.
Zhi-Meng Jiang *Graduate School of Hebei North University, Zhangjiakou, Hebei, China.
Xiao Li *Graduate School of Hebei North University, Zhangjiakou, Hebei, China.
Fei-Fei SuDepartment of Cardiovascular Medicine, Air Force Medical Center, Chinese People's Liberation Army, Beijing, China.
Jian-Wei TianDepartment of Cardiovascular Medicine, Air Force Medical Center, Chinese People's Liberation Army, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The objective of this study was to create and validate a clinical prediction model for the incidence of major adverse cardiovascular events (MACE) within one year after percutaneous coronary intervention (PCI) in elderly patients diagnosed with acute coronary syndromes (ACS). Methods: The study will use 70% of the 738 patients for model training and the remaining 30% for model validation. The feature recursive elimination algorithm (RFE) and the least absolute shrinkage selection operator (LASSO) regression technique will be used to identify the best combination of features. We compare the clinical prediction model we constructed with GRACE in terms of discrimination, calibration, recall, and clinical impact. Results: We used the RFE and LASSO regression technique to select 8 key variables from 44 candidates for our predictive model. The predictive model was found to have a good fit based on the Hosmer-Lemeshow test results ( Conclusion: This model assists in the early identification of the risk of MACE within one year after PCI for ACS in elderly patients.

Indexed as

acute coronary syndromesleast absolute shrinkage selection operatormajor adverse cardiovascular eventsnomogrampercutaneous coronary intervention

Identifiers

PMID40124630
PMCPMC11925858

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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 OpenQuestion graph.