ArticleEClinicalMedicine2019
Predicting Postoperative Lung Function Following Lung Cancer Resection: A Systematic Review and Meta-analysis.
Article in EClinicalMedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07436598 (Preoperative Three-Dimensional Virtual Resection Predicts Postoperative Pulmonary Function After Anatomical Resection), which is not on this map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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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.
Preoperative Three-Dimensional Virtual Resection Predicts Postoperative Pulmonary Function After Anatomical Resection : A Prospective Longitudinal Study
Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Risk factors for pneumonia after radical gastrectomy for gastric cancer: a systematic review and meta-analysis.BMC cancer · 2025Pooled it
- Predictive accuracy of the Kristersson/Olsen formula after lung resection: a prospective study comparing minimally invasive surgery and thoracotomy.BMC pulmonary medicine · 2026Article
- Association of lung perfusion single-photon emission computed tomography (SPECT) with postoperative lung function decline after segmentectomy.Journal of thoracic disease · 2026Article
- Pulmonary function prediction in lung cancer resection candidates: the latest insights.Breathe (Sheffield, England) · 2025Article
- Observational
- SPECT/CT Accurately Predicts Postoperative Lung Function in Patients with Limited Pulmonary Reserve Undergoing Resection for Lung Cancer.Journal of clinical medicine · 2024Article
- Predicting Postoperative Lung Function in Patients with Lung Cancer Using Imaging Biomarkers.Diseases (Basel, Switzerland) · 2024Article
- Predicting postoperative lung function using ventilation SPECT/CT in patients with lung cancer.Journal of thoracic disease · 2024Article
- Cohort study investigating evolution and factors associated with dyspnoea after anatomic lung resection.Journal of thoracic disease · 2024Article
- The role of the diaphragm in prediction of respiratory function in the immediate postoperative period in lung cancer patients using a machine learning model.World journal of surgical oncology · 2023Article
- Prediction of Postoperative Lung Function in Lung Cancer Patients Using Machine Learning Models.Tuberculosis and respiratory diseases · 2023Article
- Outcomes and pulmonary function after sleeve lobectomy compared with pneumonectomy in patients with non-small cell lung cancer.Thoracic cancer · 2023Article
- Dynamic chest radiography in the workup of lung cancer.Journal of thoracic disease · 2022Article
- Reliability of dynamic perfusion digital radiography as an alternative to pulmonary perfusion scintigraphy in predicting postoperative lung function and complications.Journal of thoracic disease · 2022Article
- A Comprehensive Survey on the Progress, Process, and Challenges of Lung Cancer Detection and Classification.Journal of healthcare engineering · 2022Review
- A preliminary study identifies early postoperative lung volume changes in patients with non-small cell lung cancer following video-assisted thoracic surgery using CT volumetry.Molecular and clinical oncology · 2021Article
- Dynamic perfusion digital radiography for predicting pulmonary function after lung cancer resection.World journal of surgical oncology · 2021Article
- Risk Stratification of Postoperative Dyspnoea: Is it Time to Change Practice?EClinicalMedicine · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLung resection remains the gold standard treatment for early stage lung cancer; prediction of postoperative lung function is a key selection criterion for surgery with the aim of determining risk of postoperative dyspnoea. We aimed to identify the different prediction techniques used, and compare their accuracy.
methodsA systematic review and meta-analysis sought to synthesise studies conducted that assess prediction of postoperative lung function up to 18/02/2018 (n = 135). PROBAST was used to assess risk of bias in studies, 17 studies were judged to be at low risk of bias.
findingsMeta-analysis revealed CT volume and density measurement to be the most accurate (mean difference 71 ml) and precise (standard deviation 207 ml) of the reported techniques used for predicting FEV1; evidence for predicting gas transfer was lacking.
interpretationThe evidence suggests using CT volume and density is the preferred technique in the prediction of postoperative FEV1. Further studies are required to ensure that the methods and thresholds we propose are linked to patient reported outcomes.
fundingSalary support for NKO, RM, PN, BN, and AMT was provided by University Hospitals Birmingham NHS Foundation Trust.
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