Evidence map›Paper›PMID 39055837›Full record

ArticleHeliyon2024

A risk score for predicting in-stent restenosis in patients with premature acute myocardial infarction undergoing percutaneous coronary intervention with drug-eluting stent.

Sen Liu, Hong Yang, Cheng Liu, Ziyang Liu, Jixin Hou, Mengwei Wei, Sifu Luo, Yaqi Zhou, Peijian Wang, Zhenyan Fu

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

10 authors.

Sen LiuHeart Center, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, Xinjiang, China.
Hong YangHeart Center, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, Xinjiang, China.
Cheng LiuHeart Center, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, Xinjiang, China.
Ziyang LiuHeart Center, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, Xinjiang, China.
Jixin HouDepartment of Cardiology, The First Affiliated Hospital, Chengdu Medical College, Chengdu, 610500, Sichuan, China.
Mengwei WeiHeart Center, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, Xinjiang, China.
Sifu LuoHeart Center, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, Xinjiang, China.
Yaqi ZhouHeart Center, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, Xinjiang, China.
Peijian WangDepartment of Cardiology, The First Affiliated Hospital, Chengdu Medical College, Chengdu, 610500, Sichuan, China.
Zhenyan FuHeart Center, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, Xinjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed at developing and validating a risk score to predict in-stent restenosis (ISR) in patients with premature acute myocardial infarction (AMI) undergoing percutaneous coronary intervention (PCI) with drug-eluting stent (DES). Methods: This was a two-center retrospective study. A total of 2185 patients firstly diagnosed with premature AMI (age ≥18 years and <55 years in men, <65 years in women) from Xinjiang cohort were retrospectively analyzed. After filtering by exclusion criteria, patients were randomly divided into training cohort (n = 434) and internal validation cohort (n = 186) at a 7:3 ratio. Several candidate variables associated with ISR in the training cohort were assessed by the least absolute shrinkage and selection operator and logistic regression analysis. The ISR risk nomogram score based on the superior predictors was finally developed, and then validated in the internal validation cohort and in an independent Chengdu external validation cohort (n = 192). The higher total nomogram score, the greater the ISR risk. Results: The eight variables in the final risk nomogram score, cardiovascular-kidney-metabolic (CKM) score included age, diabetes mellitus (DM), body mass index (BMI), systolic blood pressure (SBP), low-density lipoprotein cholesterol (LDLC), estimated glomerular filtration rate (eGFR), stent in left anterior descending coronary artery, minimum stent diameter <3 mm. The areas under the curve (AUC) and C-statistics [training cohort: 0.834 (95%CI: 0.787 to 0.882); internal validation cohort: 0.852 (95%CI: 0.784 to 0.921); Chengdu external validation cohort: 0.787 (95%CI: 0.692 to 0.882), respectively)] demonstrated the good discrimination of the CKM score. The Hosmer-Lemeshow test (χ Conclusion: This study provided a well-developed and validated risk nomogram score, the CKM score to predict ISR in patients with premature AMI undergoing PCI with DES. Given that these variables are readily available and practical, the CKM score should be widely adopted for individualized assessment and management of premature AMI.

Indexed as

In-stent restenosisNomogramPercutaneous coronary interventionPredicting modelPremature acute myocardial infarctionRisk score

Identifiers

PMID39055837
PMCPMC11269898

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.