ReviewJournal of thoracic disease2018
Optimal management of postoperative parenchymal air leaks.
Review in Journal of thoracic disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 26 citations in OpenAlex.
- The expert consensus document on minimally invasive upper lobectomy for lung cancer in China.Journal of thoracic disease · 2026Review
- Optimal suction pressure on digital drainage systems for the management of postoperative air leaks together with IL-2 therapy: a retrospective cohort study.BMC pulmonary medicine · 2026Article
- Article
- Advancements in the Management of Postoperative Air Leak following Thoracic Surgery: From Traditional Practices to Innovative Therapies.Medicina (Kaunas, Lithuania) · 2024Review
- Contributing to Drainology: removing chest drains after pulmonary resection based on air leak alone.Journal of thoracic disease · 2023Article
- Free of choice on anterior and posterior chest tube position after lung cancer resection.Interactive cardiovascular and thoracic surgery · 2022Article
- Autologous blood patch pleurodesis for prolonged postoperative air leaks.Journal of thoracic disease · 2021Article
- Treatment of postoperative air leak with fresh frozen plasma.Journal of thoracic disease · 2019Article
- Clinical guidelines on perioperative management strategies for enhanced recovery after lung surgery.Translational lung cancer research · 2019Review
- Prolonged air leaks after vats lobectomy: do we need another risk score?Journal of thoracic disease · 2019Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Air leaks are the most common complication after pulmonary resection. Enhanced recovery after surgery (ERAS) programs must be designed to manage parenchymal air leaks. ERAS programs should consider two components when creating protocols for air leaks: assessment and management. Accurate assessment of air leaks using traditional analogues devices, newer digital drainage systems, portable devices and chest X-rays (CXR) are reviewed. Published data suggests that digital drainage systems result in a more confident assessment of air leaks. The literature regarding the management of postoperative air leaks, including the number of chest tubes, the role of applied external suction, invasive maneuvers and discharge with a portable device is reviewed. The key findings are that a single chest drain is adequate in the majority of cases to manage an air leak, the use of applied external suction is unlikely to prevent or prolong an air leak, autologous blood patch pleurodesis may potentially shorten postoperative air leaks and there is sufficient data to support that patients can safely be discharged with a portable drainage system. There is also literature to support the design of protocols for management of postoperative air leaks. Standardization of postoperative care through ERAS programs will allow for the design of larger RCTs to better understand some of the controversies around the management of postoperative air leaks.
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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.