Evidence map›Paper›PMID 35837153›Full record

ArticleJournal of gastrointestinal oncology2022

Predictive effect of J waves on cardiac compression and clinical prognosis of esophageal tumors: a retrospective study.

Songcui Shen, Yichen Xie, Pengliang Ju, Wenzhao Li, Jiayuan Zhang, Ruxin Cai, Ruogu Li

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Article in Journal of gastrointestinal oncology, 2022. 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
0.2field-weighted citation impact, top 49% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed, 1 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Songcui Shen *Department of Cardiac Function, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
Yichen Xie *Department of Radiology, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
Pengliang Ju *Department of Cardiac Function, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
Wenzhao LiDepartment of Cardiac Function, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
Jiayuan ZhangDepartment of Radiology, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
Ruxin CaiDepartment of Radiotherapy, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
Ruogu LiDepartment of Cardiology, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
Shanghai Chest Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The J wave syndromes (JWS) could be observed in patients with mediastinal tumors, though few studies have verified the statistical correlation between J waves and cardiac compression by tumors. This study aimed to investigate the relationship between J waves and cardiac compression by esophageal tumor and to compare the prediction of J waves on clinical prognosis with that of cardiac compression by esophageal tumor. Methods: We enrolled 273 patients (228 males, 45 females; mean 63.8±7.5 years) with esophageal tumors admitted to Shanghai Chest Hospital between August 2016 and November 2020. The J wave was defined as a J-point elevation of ≥0.1 mV in a 12-lead electrocardiogram (ECG) and classified into multiple types. Chest computed tomography (CT) was reviewed to clarify the anatomical relationship between the heart and the esophageal tumor. The prognosis of severe cardiac events and survival status were followed up through medical history, examination records and telephone records. Results: J waves were present in 141 patients among all 273 cases. The sensitivity and specificity of cardiac compression by the tumor for J waves were 78.1% and 67.3%, respectively. The odds ratio (OR) of cardiac compression by the tumor to J waves was 7.33 [95% confidence interval (CI): 4.21-12.74; P<0.001]. The Kappa coefficient between J waves and cardiac compression was 0.44±0.05. The significance association between J waves and cardiac compression was independent from other clinical variables (P<0.001). Decreased J wave amplitude was correlated with the disappearance of cardiac compression during follow-up (P=0.03). Patients with J waves had a higher risk of severe cardiac events than those without J waves (OR =2.84, 95% CI: 1.22-6.63; P=0.01). During the follow-up period, we found that the presence of J waves [hazard ratio (HR) =2.28; 95% CI: 1.35-3.84; P=0.002] and cardiac compression by the tumor (HR =2.51; 95% CI: 1.51-4.17; P<0.001) were both negatively correlated with the survival time of patients. Conclusions: The presence of J waves could be used as an effective mean to predict the mechanical impact of esophageal tumor on the heart, and played an important role in predicting the survival of patients.

Indexed as

compressionesophageal tumorheartJ waves

Identifiers

PMID35837153
PMCPMC9274041
OpenAlexW4285555494

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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.