Observational studyBMC pulmonary medicine2019
The predictive value of PaO
Observational study in BMC pulmonary medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed, 12 citations in OpenAlex.
- Comparison of pulmonary ventilation/perfusion tomography and conventional diagnostic techniques in the diagnosis of pulmonary thromboembolism.Journal of thoracic disease · 2026Article
- Interaction between oxygen saturation and renal function on 30-day mortality in emergency department patients.Scientific reports · 2026Article
- ECG Abnormalities and Biomarkers Enable Rapid Risk Stratification in Normotensive Patients With Acute Pulmonary Embolism.The clinical respiratory journal · 2025Article
- Risk of early clinical deterioration and 30-day mortality in pulmonary embolism intermediate-high-risk patients with patent foramen ovale.Internal and emergency medicine · 2024Article
- Assessment of sST2 Behaviors to Evaluate Severity/Clinical Impact of Acute Pulmonary Embolism.International journal of molecular sciences · 2023Article
- Detection of pulmonary embolism severity using clinical characteristics, hematological indices, and machine learning techniques.Frontiers in neuroinformatics · 2022Article
- Effects of percutaneous catheter intervention on pulmonary hemodynamic indexes and safety in elderly patients with acute pulmonary embolism.American journal of translational research · 2021Article
- Mortality Prediction Using SOFA Score in Critically Ill Surgical and Non-Surgical Patients: Which Parameter Is the Most Valuable?Medicina (Kaunas, Lithuania) · 2020Observational
- Machine learning-based risk of pulmonary embolism in stroke patients with lower extremity deep vein thrombosis construction and validation of a prediction model.Frontiers in neurologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
backgroundRapid stratification and appropriate treatment on admission are critical to saving lives of patients with acute pulmonary embolism (PE). None of the clinical prediction tools perform well when applied to all patients with acute PE. It may be important to integrate respiratory features into the 2014 European Society of Cardiology model. First, we aimed to assess the relationship between the arterial partial pressure of oxygen/fraction of inspired oxygen (PaO
methodsA prospective single-center observational cohort study was conducted in Beijing Hospital from January 2010 to November 2017. Arterial blood gas analysis data captured on admission, clinical characteristics, risk factors, laboratory data, imaging findings, and in-hospital mortality were compared between survivors and non-survivors. The area under the receiver operating characteristic curve (AUC) for in-hospital mortality based on the PaO
resultsBody mass index, history of cancer, PaO
conclusionA simple determination of the PaO
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.