ReviewDiagnostics (Basel, Switzerland)2020
Diagnostics in Pleural Disease.
Review in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 22 citations in OpenAlex.
- Ultrasound-Guided Pleural Needle Biopsy Which Needle for Which Patient: A Prospective Randomized Study.Balkan medical journal · 2025Trial
- Non-invasive prediction of non-tuberculous benign pleural effusion: can we avoid unnecessary pleural biopsies?BMC pulmonary medicine · 2026Article
- Artificial Intelligence in Pleural Diseases: Current Applications and Next Steps.Thoracic research and practice · 2026Article
- Extracellular Vesicles Contribute to the Pathophysiology and Progression of Pleural Fibrosis by Promoting Mesothelial-to-Mesenchymal Transition and Neoangiogenesis.American journal of respiratory cell and molecular biology · 2025Article
- Clinical overview of the physiology and pathophysiology of pleural fluid movement: a narrative review.ERJ open research · 2024Review
- Sarcopenia and Pleural Effusions: Exploring a Potential Link.Muscles (Basel, Switzerland) · 2024Review
- Infective Pleural Effusions-A Comprehensive Narrative Review Article.Clinics and practice · 2024Review
- Deep learning model for pleural effusion detection via active learning and pseudo-labeling: a multisite study.BMC medical imaging · 2024Article
- Development and validation of a radiomics nomogram for diagnosis of malignant pleural effusion.Discover oncology · 2023Article
- Assessment of a Large-Scale Unbiased Malignant Pleural Effusion Proteomics Study of a Real-Life Cohort.Cancers · 2022Article
- Contrast-enhanced ultrasound guided pleural biopsy improves diagnostic confidence for pleural based lesions: a 3-year prospective study.BMC pulmonary medicine · 2021Article
- Development and Validation of a Scoring System for Early Diagnosis of Malignant Pleural Effusion Based on a Nomogram.Frontiers in oncology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pleural disease diagnostics represent a sprawling topic that has enjoyed a renaissance in recent years from humble beginnings. Whilst pleural patients are heterogeneous as a population and in the aetiology of the disease with which they present, we provide an overview of the typical diagnostic approach. Pleural fluid analysis is the cornerstone of the diagnostic pathway; however, it has many shortcomings. Strong cases have been made for more invasive upfront investigations, including image-guided biopsies or local anaesthetic thoracoscopy, in selected populations. Imaging can guide the diagnostic process as well as act as a vehicle to facilitate therapies, and this is never truer than with the recent advances in thoracic ultrasound.
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.