Systematic review and meta‑analysis of factors predicting postoperative lung function after lung cancer resection
Introduction: Lung resection continues to be the most effective treatment for early-stage lung cancer. Prediction of postoperative lung function is particularly important when evaluating patient eligibility for surgery, as it helps assess the likelihood of experiencing difficulty breathing after the...
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| Format: | Article |
| Language: | English |
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Termedia Publishing House
2024-07-01
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| Series: | Videosurgery and Other Miniinvasive Techniques |
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| Online Access: | https://www.mp.pl/videosurgery/issue/article/17892/ |
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| _version_ | 1832582551049338880 |
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| author | Hongling Wang Lihong He Xiaoyun Hu Gongxue Xian |
| author_facet | Hongling Wang Lihong He Xiaoyun Hu Gongxue Xian |
| author_sort | Hongling Wang |
| collection | DOAJ |
| description | Introduction: Lung resection continues to be the most effective treatment for early-stage lung cancer. Prediction of postoperative lung function is particularly important when evaluating patient eligibility for surgery, as it helps assess the likelihood of experiencing difficulty breathing after the operation.
Aim: We aimed to identify the most common methods used to predict postoperative lung function in clinical practice and to compare their accuracy.
Materials and methods: A systematic review and meta-analysis were performed to synthesize research focused on the prediction of postoperative lung function. A total of 10 studies were included in the analysis. The Cochrane risk of bias tool was utilized to evaluate the risk of bias in the studies. Additionally, a meta-analysis of the mean difference between the predicted and measured values of forced expiratory volume in 1 second (FEV1) was conducted. The I2 value was computed as a metric of coherence among studies, while funnel plots and the Begg test were used to evaluate the likelihood of publication bias.
Results: The analyzed studies had a low risk of bias. The meta-analysis showed that computed tomography (CT) volume and density measurement had the highest level of accuracy for predicting postoperative FEV1, with a mean difference between the predicted and actual value of 83 ml (95% CI, 41–116).
Conclusions: The results indicate that using CT volume and density is the optimal method for predicting postoperative FEV1. Additional research is necessary to establish the connection between the type of surgical procedure, adopted thresholds, and outcomes reported by patients. |
| format | Article |
| id | doaj-art-e2fd0f7c26ce4a558b9601aa7dfbc853 |
| institution | Kabale University |
| issn | 1895-4588 2299-0054 |
| language | English |
| publishDate | 2024-07-01 |
| publisher | Termedia Publishing House |
| record_format | Article |
| series | Videosurgery and Other Miniinvasive Techniques |
| spelling | doaj-art-e2fd0f7c26ce4a558b9601aa7dfbc8532025-01-29T16:35:47ZengTermedia Publishing HouseVideosurgery and Other Miniinvasive Techniques1895-45882299-00542024-07-01190328929810.20452/wiitm.2024.17892Systematic review and meta‑analysis of factors predicting postoperative lung function after lung cancer resectionHongling Wang0Lihong He1Xiaoyun Hu2Gongxue Xian3Department of Interventional Surgery, Yantaishan Hospital, Yantai City, ChinaOutpatient Department, The General Hospital of Western Theater Command of Chinese People’s Liberation Army, Chengdu, Sichuan, ChinaOperating room, Hai’an Traditional Chinese Medicine Hospital, Hai’an, Jiangsu, ChinaOutpatient Department, The General Hospital of Western Theater Command of Chinese People’s Liberation Army, Chengdu, Sichuan, ChinaIntroduction: Lung resection continues to be the most effective treatment for early-stage lung cancer. Prediction of postoperative lung function is particularly important when evaluating patient eligibility for surgery, as it helps assess the likelihood of experiencing difficulty breathing after the operation. Aim: We aimed to identify the most common methods used to predict postoperative lung function in clinical practice and to compare their accuracy. Materials and methods: A systematic review and meta-analysis were performed to synthesize research focused on the prediction of postoperative lung function. A total of 10 studies were included in the analysis. The Cochrane risk of bias tool was utilized to evaluate the risk of bias in the studies. Additionally, a meta-analysis of the mean difference between the predicted and measured values of forced expiratory volume in 1 second (FEV1) was conducted. The I2 value was computed as a metric of coherence among studies, while funnel plots and the Begg test were used to evaluate the likelihood of publication bias. Results: The analyzed studies had a low risk of bias. The meta-analysis showed that computed tomography (CT) volume and density measurement had the highest level of accuracy for predicting postoperative FEV1, with a mean difference between the predicted and actual value of 83 ml (95% CI, 41–116). Conclusions: The results indicate that using CT volume and density is the optimal method for predicting postoperative FEV1. Additional research is necessary to establish the connection between the type of surgical procedure, adopted thresholds, and outcomes reported by patients.https://www.mp.pl/videosurgery/issue/article/17892/computed tomography perfusioncomputed tomography volume and densitylobectomylung cancerpostoperative pulmonary function |
| spellingShingle | Hongling Wang Lihong He Xiaoyun Hu Gongxue Xian Systematic review and meta‑analysis of factors predicting postoperative lung function after lung cancer resection Videosurgery and Other Miniinvasive Techniques computed tomography perfusion computed tomography volume and density lobectomy lung cancer postoperative pulmonary function |
| title | Systematic review and meta‑analysis of factors predicting postoperative lung function after lung cancer resection |
| title_full | Systematic review and meta‑analysis of factors predicting postoperative lung function after lung cancer resection |
| title_fullStr | Systematic review and meta‑analysis of factors predicting postoperative lung function after lung cancer resection |
| title_full_unstemmed | Systematic review and meta‑analysis of factors predicting postoperative lung function after lung cancer resection |
| title_short | Systematic review and meta‑analysis of factors predicting postoperative lung function after lung cancer resection |
| title_sort | systematic review and meta analysis of factors predicting postoperative lung function after lung cancer resection |
| topic | computed tomography perfusion computed tomography volume and density lobectomy lung cancer postoperative pulmonary function |
| url | https://www.mp.pl/videosurgery/issue/article/17892/ |
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