Diffusion of Minimally Invasive Approach for Lung Cancer Surgery in France: A Nationwide, Population-Based Retrospective Cohort Study

Bernard, Alain; Cottenet, Jonathan; Pagès, P; Quantin, Catherine

doi:10.3390/cancers15133283

Cited by 3 publications

(1 citation statement)

References 35 publications

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“…However, one recurring critique, is that certain prognostic factors cannot be taken into account in national hospital databases [16][17][18]. For example, for lung cancer surgery, variables such as preoperative forced expiratory volume (FEV1), American Society of Anesthesiologists score (ASA score), body mass index (BMI), and TNM stage are not considered in studies based on these data [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Is the Validity of Logistic Regression Models Developed with a National Hospital Database Inferior to Models Developed from Clinical Databases to Analyze Surgical Lung Cancers?

Bernard,

Cottenet,

Quantin

2024

Cancers

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In national hospital databases, certain prognostic factors cannot be taken into account. The main objective was to estimate the performance of two models based on two databases: the Epithor clinical database and the French hospital database. For each of the two databases, we randomly sampled a training dataset with 70% of the data and a validation dataset with 30%. The performance of the models was assessed with the Brier score, the area under the receiver operating characteristic (AUC ROC) curve and the calibration of the model. For Epithor and the hospital database, the training dataset included 10,516 patients (with resp. 227 (2.16%) and 283 (2.7%) deaths) and the validation dataset included 4507 patients (with resp. 93 (2%) and 119 (2.64%) deaths). A total of 15 predictors were selected in the models (including FEV1, body mass index, ASA score and TNM stage for Epithor). The Brier score values were similar in the models of the two databases. For validation data, the AUC ROC curve was 0.73 [0.68–0.78] for Epithor and 0.8 [0.76–0.84] for the hospital database. The slope of the calibration plot was less than 1 for the two databases. This work showed that the performance of a model developed from a national hospital database is nearly as good as a performance obtained with Epithor, but it lacks crucial clinical variables such as FEV1, ASA score, or TNM stage.

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Section: Introductionmentioning

confidence: 99%

Is the Validity of Logistic Regression Models Developed with a National Hospital Database Inferior to Models Developed from Clinical Databases to Analyze Surgical Lung Cancers?

Bernard,

Cottenet,

Quantin

2024

Cancers

Self Cite

View full text Add to dashboard Cite

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Open versus minimally invasive surgery: risk of new persistent opioid use

Rashid,

Woldesenbet,

Munir

et al. 2024

Journal of Gastrointestinal Surgery

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Outcomes and Survival for Early-Stage Non-Small Cell Lung Cancer Following Wedge Resection or Lobectomy: A Propensity Score-Matched Analysis Using a Novel Peruvian Registry

Llalle,

Albán-Sánchez,

Torres-Neyra

et al. 2024

J Chest Surg

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Background Using a previously unreported Peruvian registry of patients treated for early-stage non-small cell lung cancer (NSCLC), this study explored whether wedge resection and lobectomy were equivalent regarding survival and impact on radiologic-pathologic variables. Methods This observational, analytical, longitudinal study used propensity score-matched (PSM) analysis of a single-center retrospective registry of 2,570 patients with pathologic stage I–II NSCLC who were treated with wedge resection (n=1,845) or lobectomy (n=725) during 2000–2020. After PSM, 650 cases were analyzed (resection, n=325; lobectomy, n=325) through preoperative and clinical variables, including patients with ≥1 lymph node removed. Kaplan-Meier curves and multivariable Cox proportional hazard models were created for 5-year overall survival (OS), disease-free survival (DFS), and locoregional-recurrence-free survival (LRFS). Results The principal complication was operative pain persisting >7 days for lobectomy versus wedge resection (58% vs. 23%, p=0.034) and shorter hospital stays for resection than for lobectomy (5.3 days vs. 12.8 days, p=0.009). The 5-year OS (84.3% vs. 81.2%, p=0.09) and DFS (79.1% vs. 74.1%, p=0.07) were similar and statistically insignificant between resections and lobectomies, respectively. LRFS was worse overall following wedge resection than lobectomy (79.8% vs. 91.1%, p<0.02). Nevertheless, in the PSM analysis, both groups experienced similar LRFS when the resection margin was >10 mm (90.9% vs. 87.3%, p<0.048) and ≥4 lymph nodes were removed (82.8% vs. 79.1%, p<0.011). Conclusion Both techniques led to similar OS and DFS at 5 years; however, successful LRFS required a wedge resection with a surgical margin and adequate lymph node removal to obtain outcomes similar to lobectomy.

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Diffusion of Minimally Invasive Approach for Lung Cancer Surgery in France: A Nationwide, Population-Based Retrospective Cohort Study

Cited by 3 publications

References 35 publications

Is the Validity of Logistic Regression Models Developed with a National Hospital Database Inferior to Models Developed from Clinical Databases to Analyze Surgical Lung Cancers?

Is the Validity of Logistic Regression Models Developed with a National Hospital Database Inferior to Models Developed from Clinical Databases to Analyze Surgical Lung Cancers?

Open versus minimally invasive surgery: risk of new persistent opioid use

Outcomes and Survival for Early-Stage Non-Small Cell Lung Cancer Following Wedge Resection or Lobectomy: A Propensity Score-Matched Analysis Using a Novel Peruvian Registry

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