ArticleBJS open2025
Financial burden of complications in lung resection surgery: scoping review.
Article in BJS open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Best practices for respiratory function training in perioperative patients with lung cancer: A scoping review and evidence synthesis.Asia-Pacific journal of oncology nursing · 2026Review
- A transfer learning-based hybrid deep- and machine-learning regression approach for predicting the postoperative pulmonary function.European radiology experimental · 2026Article
- Effectiveness of electrical stimulation for postoperative rehabilitation of lung cancer: a systematic review and meta-analysis.Journal of thoracic disease · 2026Article
- Prehabilitation moves from theory to practice: time to act?Journal of thoracic disease · 2026Article
- A nomogram for predicting intra-operative conversion to endotracheal intubation during non-intubated spontaneous ventilation anesthesia in pulmonary resection: development of a risk prediction model in hypoxic and high-risk patients.Frontiers in medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLung resection surgery is a common procedure in the treatment of lung cancer. It has been associated with a high cost burden, with complications considered a substantial contributor to associated expenses. This review sought to understand and describe the financial burden associated with complications of lung resection surgery.
methodsKey databases (Ovid MEDLINE and Embase, Cochrane CENTRAL) were searched up to 14 October 2024. Studies reporting on costs of at least one complication of lung resection surgery, including lobectomy, wedge resection, segmentectomy, sleeve resection, pneumonectomy, or a combination of these, were included. Following identification of eligible articles, all relevant data were extracted. Quality assessment tools, including the Scottish Intercollegiate Guidelines Network Checklists for Economic Evaluations and Cohort Studies and the Risk Of Bias In Non-randomized Studies-of Interventions tool, were used to confirm articles for inclusion.
resultsIn all, 31 articles were identified for inclusion: 2 prospective and 29 retrospective studies. All lung-specific complications and all but one non-pulmonary complication were associated with increased hospitalization costs. Hospital expenses also increased with increasing numbers and grades of complications.
conclusionSubstantial variation in the definitions of costs and complications across studies has rendered a comparison of findings between studies challenging. Greater uniformity in definitions and classifications of costs and complications in future studies will facilitate further characterization of the cost burden of specific complications.
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.