Evidence map›Paper›PMID 40536791›Full record

ArticleThe clinical respiratory journal2025

ECG Abnormalities and Biomarkers Enable Rapid Risk Stratification in Normotensive Patients With Acute Pulmonary Embolism.

Siqi Jiao, Ying Liu, Haoming He, Qing Li, Zhe Wang, Yinong Chen, Longyang Zhu, Shuwen Zheng, Furong Yang, Zhenguo Zhai and 1 more

Abstract read
In one paragraph

Article in The clinical respiratory journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. The Prognostic Value of Troponin in Acute Pulmonary Embolism: A Systematic Review and Meta-Analysis.Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions · 2025
    Pooled it
  2. Review
  3. 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

11 authors.

Siqi JiaoPeking University Health Science Center, China-Japan Friendship Hospital, Beijing, China.ORCID https://orcid.org/0000-0001-7812-9793
Ying LiuBeijing Ditan Hospital, Capital Medical University, Beijing, China.
Haoming HeDepartment of Cardiology, China-Japan Friendship Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Qing LiPeking University Health Science Center, China-Japan Friendship Hospital, Beijing, China.
Zhe WangDepartment of Cardiology, China-Japan Friendship Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yinong ChenPeking University Health Science Center, China-Japan Friendship Hospital, Beijing, China.
Longyang ZhuPeking University Health Science Center, China-Japan Friendship Hospital, Beijing, China.
Shuwen ZhengSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Furong YangSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Zhenguo ZhaiDepartment of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-7096-8792
Yihong SunDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe patients with suspected pulmonary embolism (PE) were usually screened using electrocardiogram (ECG) and blood panel of D-dimer, troponin, and blood gas analysis in the emergency.

objectivesThis study aimed to explore a rapid risk model to predict in-hospital adverse events for normotensive PE patients.

methodsPatients with acute PE having normal blood pressure on appearance were retrospectively enrolled at China-Japan Friendship Hospital from January 2017 to February 2020. The in-hospital adverse events were defined as death and clinical deterioration during hospitalization. The risk model for in-hospital adverse events was generated by multivariate regression analysis. The discrimination ability of the model was compared with PESI, Bova, and FAST risk score, and evaluated by the receiver operating characteristic curve (ROC), net reclassification improvement (NRI), and integrated discrimination improvement index (IDI).

resultsOf the 213 patients, 35 (16.4%) experienced in-hospital adverse events,y including 15 deaths. The average age was 69 ± 19 years, and 118 (44.6%) were females. Multiple logistic regression analysis showed that independent risk factors associated with in-hospital adverse events were low QRS voltage in ECG (OR: 5.321; 95% CI: 1.608-7.310), positive age-adjusted D-dimer (OR: 2.061; 95% CI: 0.622-6.836), positive troponin (OR: 3.504; 95% CI: 1.744-8.259), and PaO

conclusionECG abnormalities and biomarkers on admission may provide a rapid and effective approach to identify patients with poor prognoses during hospitalization.

Indexed as

ElectrocardiographyPulmonary EmbolismAcute DiseaseAgedAged, 80 and overBiomarkersBlood Gas AnalysisBlood PressureChinaFemaleFibrin Fibrinogen Degradation ProductsHospital MortalityHumansJapanMaleMiddle AgedBiomarkersFibrin Fibrinogen Degradation Productsfibrin fragment DTroponinacute pulmonary embolismin‐hospital adverse eventslow to moderate riskprognosis

Identifiers

PMID40536791
PMCPMC12178209

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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.