Evidence map›Paper›PMID 39991461›Full record

ArticleTherapeutics and clinical risk management2025

Serum Periostin as a Novel Biomarker for Predicting 30-Day Major Adverse Cardiac Events After Off-Pump Coronary Artery Bypass Grafting.

Qian Su, Zhipeng Deng, Xiangqing Wei, Lu Li, Boxiang Du, Fei Guo, Yi Gu, Jie Song, Lei Yao

Abstract read
In one paragraph

Article in Therapeutics and clinical risk management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Qian Su *Department of Anesthesiology, Affiliated Hospital 2 of Nantong University, Nantong, 226001, People's Republic of China.
Zhipeng Deng *Department of Anesthesiology, Affiliated Hospital 2 of Nantong University, Nantong, 226001, People's Republic of China.
Xiangqing WeiDepartment of Anesthesiology, Affiliated Hospital 2 of Nantong University, Nantong, 226001, People's Republic of China.
Lu LiDepartment of Anesthesiology, Affiliated Hospital 2 of Nantong University, Nantong, 226001, People's Republic of China.
Boxiang DuDepartment of Anesthesiology, Affiliated Hospital 2 of Nantong University, Nantong, 226001, People's Republic of China.
Fei GuoDepartment of Anesthesiology, Affiliated Hospital 2 of Nantong University, Nantong, 226001, People's Republic of China.
Yi GuDepartment of Anesthesiology, Affiliated Hospital 2 of Nantong University, Nantong, 226001, People's Republic of China.
Jie SongDepartment of Anesthesiology, Affiliated Hospital 2 of Nantong University, Nantong, 226001, People's Republic of China.
Lei YaoDepartment of Anesthesiology, Affiliated Hospital 2 of Nantong University, Nantong, 226001, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The identification of predictors for major adverse cardiovascular events (MACEs) is essential for reducing mortality associated with off-pump coronary artery bypass grafting (OPCAB). The objective of this study is to assess serum periostin levels as a novel predictor of MACEs in patients undergoing OPCAB. Methods: This prospective study included 79 patients diagnosed with coronary artery disease (CAD) who underwent OPCAB between May 2022 and May 2023. The changes in periostin levels (ΔPOSTN) were calculated using the formula: postoperative POSTN levels minus preoperative POSTN levels. Based on the optimal cut-off value determined from the receiver operating characteristic (ROC) curve, patients were categorized into Low POSTN Change (LPC) and High POSTN Change (HPC) groups for subgroup analysis. The primary outcomes assessed were MACEs, including cardiac death, myocardial infarction (MI), heart failure, and stroke. Results: Follow up for the patients was conducted for 30 days, with 71 patients ultimately being included in the final analysis. During this period, 13 MACEs were recorded, representing an incidence rate of 18.3%. The events included 2 cases of cardiac death (2.8%), 5 cases of MI (7.0%), 5 cases of heart failure (7.0%), and 1 case of stroke (1.4%). The risk of MACEs increased by 4% for each unit increase in the ΔPOSTN (Odds Ratio [OR]: 1.04, 95% Confidence Interval [CI]: 1.01-1.06; p = 0.005). The area under the ROC curve was 0.869 (95% CI: 0.768-0.938; p < 0.001). Based on the Youden index (J = 0.683), the optimal threshold for ΔPOSTN was determined to be 16.6 µg/L, with a sensitivity of 76.9% and a specificity of 91.4%. Conclusion: Changes in serum periostin levels during the perioperative period may serve as an independent predictor of 30-day MACEs in patients undergoing OPCAB. Trial Registration: Link of the registry: https://www.chictr.org.cn. Date of registration: 2022/05/22. Trial registration number: ChiCTR2200060220.

Indexed as

MACEmyocardial infarctionOPCABserum periostinventricular remodeling

Identifiers

PMID39991461
PMCPMC11846488

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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 OpenQuestion graph.