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Effectiveness and safety of four drainage methods for lung abscess: a Bayesian network meta-analysis and systematic review

Zhang X, Zheng Y, Pang L, Lv X, Zang N

Frontiers in medicine, 2025

1,453 participants

Abstract

Objective: To compare the efficacy and safety of various pus drainage methods for lung abscess via network meta-analysis.

Methods: Randomized controlled trials (RCTs) from PubMed, Embase, Scopus, Web of Science, VIP, Wanfang, and CNKI were searched up to April 2025. Study quality was assessed using the Cochrane Risk of Bias Tool (v5.4.0). Bayesian network meta-analysis was conducted using Rstudio (v4.4.1).

Results: A total of 23 RCTs (1,453 patients) evaluating four drainage techniques were included. Effective rate: CT-guided percutaneous drainage + antibiotics ranked highest (77% probability), outperforming antibiotics alone (OR = 5.4) and conventional postural drainage + antibiotics (OR = 7.4). Hospital stay: Ultrasound-guided drainage + antibiotics ranked best (89% probability), significantly reducing stay versus conventional postural drainage + antibiotics (MD = -19 days). Symptom resolution: Ultrasound-guided drainage + antibiotics ranked highest for cough (SUCRA 97%) and fever resolution (SUCRA 97%). Lesion reduction: Modified postural drainage + antibiotics ranked highest (98% probability), surpassing conventional postural drainage + antibiotics (OR = 0.48) and antibiotics alone (OR = 0.15).

Conclusion: Comprehensive analysis indicates that ultrasound-guided percutaneous drainage combined with antibiotics demonstrates the highest probability of improvement in key outcome measures, including time to fever resolution, length of hospital stay, and time to cough…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 1,453 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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