ReviewCureus2021
Preoperative Lung Ultrasound to Detect Pleural Adhesions: A Systematic Review and Meta-Analysis.
Review in Cureus, 2021. 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
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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, 9 citations in OpenAlex.
- Dry Medical Thoracoscopy with Artificial Pneumothorax Induction: A Scoping Review.Tuberculosis and respiratory diseases · 2026Article
- Perioperative Management of Presumed Schwartz-Jampel Syndrome During Complex Pediatric Spinal Fusion: A Case Report.Case reports in anesthesiology · 2026Article
- Bilateral Lung Points without Pneumothorax: Exploring "Lung Point" Mimics.POCUS journal · 2025Article
- The utility of the low motion area ratio for the preoperative detection of pleural adhesions: dynamic chest radiography analysis.Quantitative imaging in medicine and surgery · 2025Article
- Dry Medical Thoracoscopy with Artificial Pneumothorax Induction Using Veress Needle.Tuberculosis and respiratory diseases · 2025Article
- Application of ultrasound-guided medical thoracoscopy in patients with small amounts or without pleural effusion.BMC pulmonary medicine · 2024Article
- Potential of dynamic chest radiography for preoperative evaluation of pleural adhesions.Journal of thoracic disease · 2023Article
- A novel solution to detect pleural adhesions pre-operatively.Journal of thoracic disease · 2023Article
- Preoperative detection of pleural adhesions using dynamic chest radiography: prospective analysis.Journal of thoracic disease · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The usage of lung ultrasound as a preoperative examination for thoracic surgeries remains controversial. Our systematic review and meta-analysis aimed to evaluate preoperative lung ultrasound diagnostic accuracy for detecting pleural adhesions. We searched articles published in MEDLINE, Embase, CENTRAL, and the International Clinical Trials Registry Platform until October 2020. Inclusion criteria were observational studies, case-control studies, and case series assessing preoperative lung ultrasound diagnostic accuracy. The study quality of included articles was evaluated using the modified quality assessment of diagnostic accuracy studies-2 tool. The pooled sensitivity and specificity were calculated using the bivariate random-effects model. The overall quality of evidence was summarized using the grading of recommendations, assessment, development, and evaluation approach. Eleven articles were included in our systematic review. A high risk of bias was noted regarding undefined pleural adhesions and non-predefined pathological diagnosis. Based on the ten articles included for meta-analysis, the pooled sensitivity and specificity were 71% [95% confidence interval (CI), 56%-82%], and 96% (95% CI, 89%-99%), respectively. The overall quality of evidence was moderate. Our systematic review revealed that lung ultrasound had high specificity. It may serve as a rule-in test for detecting pleural adhesions before thoracic surgeries, which may assist surgeons in preparation for a prolonged surgery or increased risk of complications that occurred by trocar insertion such as bleeding and persistent air leak.
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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.