Evidence map›Paper›PMID 38984355›Full record

ArticleFrontiers in cardiovascular medicine2024

Prediction of acute coronary syndrome in patients with myeloproliferative neoplasms.

Jingfeng Huang, Ping Zhang, Fangjie Shen, Xiaodong Zheng, Qianjiang Ding, Yuning Pan, Xinzhong Ruan

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2024. 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. Acute Coronary Syndrome in Essential Thrombocythemia and Polycythemia Vera.Heart views : the official journal of the Gulf Heart Association
    Review
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.

Jingfeng HuangDepartment of Radiology, The First Affiliated Hospital of Ningbo University, Ningbo, China.
Ping ZhangDepartment of Hematology, The First Affiliated Hospital of Ningbo University, Ningbo, China.
Fangjie ShenDepartment of Radiology, The First Affiliated Hospital of Ningbo University, Ningbo, China.
Xiaodong ZhengDepartment of Radiology, The First Affiliated Hospital of Ningbo University, Ningbo, China.
Qianjiang DingDepartment of Radiology, The First Affiliated Hospital of Ningbo University, Ningbo, China.
Yuning PanDepartment of Radiology, The First Affiliated Hospital of Ningbo University, Ningbo, China.
Xinzhong RuanDepartment of Radiology, The First Affiliated Hospital of Ningbo University, Ningbo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients with myeloproliferative neoplasms (MPN) are exposed to a higher risk of cardiovascular disease, especially cardiovascular calcification. The present research aimed to analyze the clinical features and coronary artery calcium score (CACS) in MPN patients, and construct an effective model to predict acute coronary syndrome (ACS) in MPN patients. Materials and methods: A total of 175 MPN patients and 175 controls were recruited from the First Affiliated Hospital of Ningbo University. Based on cardiovascular events, the MPN patients were divided into the ACS group and the non-ACS group. Multivariate Cox analysis was completed to explore ACS-related factors. Furthermore, ROC curves were plotted to assess the predictive effect of CACS combined with white blood cells (WBC) and platelet for ACS in MPN patients. Results: The MPN group exhibited a higher CACS than the control group (133 vs. 55, Conclusion: CACS combined with WBC and platelet might be a promising model for predicting ACS occurrence in MPN patients.

Indexed as

acute coronary syndromecoronary artery calcium scoreindependent risk factorsmyeloproliferative neoplasmspredictive value

Identifiers

PMID38984355
PMCPMC11231400

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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.