Evidence map›Paper›PMID 41834984›Full record

ArticleSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2026

[Development and Validation of a Risk Prediction Model for Secondary Pulmonary Infarction in Elderly Patients With Acute Pulmonary Embolism].

Shijun Chen, Mohan Weng, Yunxiang Lü, Yanru Jiang, Yingying Pang

Abstract readValidation StudyEnglish Abstract
PubMed Full text at PMC Publisher
In one paragraph

Article in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 2026. 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
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Shijun Chen（ 233000）Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Bengbu Medical University, Bengbu 233000, China.ORCID 0009-0006-3620-4904
Mohan Weng（ 233000）Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Bengbu Medical University, Bengbu 233000, China.
Yunxiang Lü（ 233000）Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Bengbu Medical University, Bengbu 233000, China.
Yanru Jiang（ 233000）Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Bengbu Medical University, Bengbu 233000, China.
Yingying Pang（ 233000）Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Bengbu Medical University, Bengbu 233000, China.ORCID 0009-0005-3272-274X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the risk factors for secondary pulmonary infarction (PI) in elderly patients with acute pulmonary embolism (PE) and to construct a risk prediction model based on these factors. Methods: This study enrolled 147 elderly PE patients hospitalized at our institution from July 2018 to September 2022. Patients were divided into a secondary PI group ( Conclusion: Elderly PE patients with alcohol consumption, chronic bronchitis, coronary heart disease, emphysema, diabetes, or elevated D-dimer levels have a higher risk of secondary PI. The predictive model demonstrates high discriminatory power and accuracy, aiding clinical assessment of secondary PI in PE patients.

Indexed as

Pulmonary EmbolismPulmonary InfarctionAcute DiseaseAgedAged, 80 and overBronchitis, ChronicCoronary DiseaseFemaleFibrin Fibrinogen Degradation ProductsHumansMaleRisk AssessmentRisk FactorsFibrin Fibrinogen Degradation Productsfibrin fragment DAcute pulmonary embolismAgedComplicationsPulmonary infarctionRisk prediction model

Identifiers

PMID41834984
PMCPMC12979978

What Socratic holds

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LicenceCC BY-NC
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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.