ArticleRespiratory research2025
A nomogram model based on clinical and 3D-EIT parameters for CTEPH diagnosis.
Article in Respiratory research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Novel three-dimensional electrical impedance tomography for noninvasive detection of lung perfusion.Journal of thoracic disease · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundChronic thromboembolic pulmonary hypertension (CTEPH) is easily misdiagnosed. Three-dimensional (3D) electrical impedance tomography (EIT) can monitor the whole-lung perfusion at the bedside. In this study, three-dimensional electrical impedance tomography (3D-EIT) features in patients with suspected chronic thromboembolic pulmonary hypertension (CTEPH) was investigated, and nomogram models based on clinical and 3D-EIT parameters were constructed to identify CTEPH.
methodsPatients with pulmonary hypertension (PH) due to left heart disease and chronic hypoxia were excluded. The enrolled patients were divided into CTEPH and Non-CTEPH groups by confirmatory tests. Then, history and laboratory results were collected and 3D-EIT examination was performed. Out of 70 enrolled patients, 50 cases were used as the training set to construct the nomogram model. Obtained nomogram diagnostic model was calibrated and then evaluated using receiver operating characteristic (ROC) curves, decision curve analysis (DCA), and clinical impact curves (CIC).
resultsThrough a comprehensive univariate analysis, Wald test, Akaike information criterion (AIC), and Bayesian information criterion (BIC), the nomogram model for CTEPH diagnosis based on 50 patients was constructed using venous thromboembolism (VTE) history, D-dimer, maximum of corresponding regional ventilation/perfusion ratio (V/Qmax), range between the maximum and minimum values of regional perfusion (P-Range) and the percentage of ventilation/perfusion match area (VQMatch). The C-index of the nomogram model in the training set was 0.926 (95% CI: 0.859-0.993). In the training set and test set, the nomogram model had a larger area under the curve (AUC) than models containing only VTE history, VTE history + D-dimer and EIT parameters. Both DCA and CIC analyses indicate that this model can provide significant clinical benefits.
conclusionsA nomogram model combining clinical and 3D-EIT parameters facilitated the diagnosis of CTEPH. CLINICAL TRIAL NUMBER: Not applicable.
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.