SynthesisJournal of clinical monitoring and computing2023
Individualized positive end-expiratory pressure guided by respiratory mechanics during anesthesia for the prevention of postoperative pulmonary complications: a systematic review and meta-analysis.
Synthesis in Journal of clinical monitoring and computing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.
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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.
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Who cites it
9 citing papers in PubMed, 3 syntheses or guidelines pooled it, 14 citations in OpenAlex.
- Individualised positive end-expiratory pressure to minimise driving pressure and postoperative pulmonary complications in minimally invasive thoracic and abdominal surgery a systematic review and meta-analysis.British journal of anaesthesia · 2026Pooled it
- Non-drug perioperative interventions to reduce postoperative pulmonary complications after abdominal surgery: systematic review and meta-analysis.BMJ (Clinical research ed.) · 2026Pooled it
- Effect of driving pressure-guided positive end-expiratory pressure on respiratory mechanics and clinical outcomes in surgical patients: a systematic review and meta-analysis of randomized controlled trials.Annals of medicine · 2025Pooled it
- Trial
- Adjustment of positive end-expiratory pressure based on body mass index during general anaesthesia: a randomised controlled trial.Anaesthesia · 2025Trial
- "Tailored" vs. "one-size-fits-all": current knowledge of individualized PEEP and constant PEEP strategy during the perioperative period.European journal of medical research · 2025Review
- Optimizing Ventilation Strategies to Reduce Pulmonary Complications in Frail Patients: A Comparative Study.Medical science monitor : international medical journal of experimental and clinical research · 2025Observational
- Preoperative evaluation: Impact on early perioperative hemodynamic and respiratory complications.BMC anesthesiology · 2024Observational
- [Focus on ventilation, oxygen therapy and weaning 2022-2024 : Summary of selected intensive care studies].Die Anaesthesiologie · 2024Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The optimization of positive end-expiratory pressure (PEEP) according to respiratory mechanics [driving pressure or respiratory system compliance (Crs)] is a simple and straightforward strategy. However, its validity to prevent postoperative pulmonary complications (PPCs) remains unclear. Here, we performed a meta-analysis to assess such efficacy. We searched PubMed, Embase, and the Cochrane Library to identify randomized controlled trials (RCTs) that compared personalized PEEP based on respiratory mechanics and constant PEEP to prevent PPCs in adults. The primary outcome was PPCs. Fourteen studies with 1105 patients were included. Compared with those who received constant PEEP, patients who received optimized PEEP exhibited a significant reduction in the incidence of PPCs (RR = 0.54, 95% CI 0.42 to 0.69). The results of commonly happened PPCs (pulmonary infections, hypoxemia, and atelectasis but not pleural effusion) also supported individualized PEEP group. Moreover, the application of PEEP based on respiratory mechanics improved intraoperative respiratory mechanics (driving pressure and Crs) and oxygenation. The PEEP titration method based on respiratory mechanics seems to work positively for lung protection in surgical patients undergoing general anesthesia.
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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.