Correlation between perioperative outcomes and long-term survival for non-small lung cancer treated at major centers.
Carcinoma, Non-Small-Cell Lung
/ mortality
Female
Hospitals, High-Volume
/ statistics & numerical data
Humans
Long Term Adverse Effects
/ mortality
Lung Neoplasms
/ mortality
Male
Middle Aged
Neoplasm Grading
Neoplasm Staging
Outcome Assessment, Health Care
/ methods
Pneumonectomy
/ adverse effects
Postoperative Complications
/ mortality
Public Reporting of Healthcare Data
Risk Factors
Survival Analysis
United States
/ epidemiology
long-term outcomes
non–small cell lung cancer
overall survival
perioperative outcomes
Journal
The Journal of thoracic and cardiovascular surgery
ISSN: 1097-685X
Titre abrégé: J Thorac Cardiovasc Surg
Pays: United States
ID NLM: 0376343
Informations de publication
Date de publication:
Jan 2022
Jan 2022
Historique:
received:
01
06
2020
revised:
01
11
2020
accepted:
16
11
2020
pubmed:
17
1
2021
medline:
27
1
2022
entrez:
16
1
2021
Statut:
ppublish
Résumé
The public is placing increased emphasis on specialty specific rankings, thereby affecting patients' choices of clinical care programs. In the spirit of transparency, public reporting initiatives are underway or being considered by various surgical specialties whose databases rank programs based on short-term outcomes. Of concern, short-term risk avoidance excludes important comparative cases from surgical database participation and may adversely affect overall long-term oncologic treatment team results. To assess the validity of comparing short-term perioperative and long-term survival outcomes of all patients treated at major centers, we studied the correlations between these variables. The National Cancer Database was queried for patients diagnosed with non-small cell lung carcinoma (NSCLC) between 2008 and 2012, yielding 5-year follow-up data for all patients at centers treating at least 100 patients annually. Mortality (30- and 90-day), unplanned 30-day readmissions, and hospital length of stay were modeled using logistic regression with sex, race, age, Charlson-Deyo combined comorbidity, extent of surgery, income, insurance status, histology, grade, and analytic stage as predictors, all with 2-way interaction terms. The differences between the predicted rates and observed rates were calculated for each short-term outcome, and the average of these was used to create a short-term metric (STM). A similar approach was used to create a long-term metric (LTM) that used overall survival as a single dependent variable. Centers were ranked into deciles based on these metrics. Visual plotting as well as correlation coefficients were used to judge correlation between STM and LTM. A total of 298,175 patients from 541 centers were included in this analysis, of whom 102,860 underwent surgical resection for NSCLC. The correlation between STM and LTM was negative using parametric estimates (Pearson correlation coefficient = -0.09 [P = .03] and -0.22 [P < .01]) and nonparametric estimates (Spearman rank correlation coefficient = -0.09 [P = .02] and -0.22 [P < .01]) for squamous cell carcinoma and adenocarcinoma, respectively. Short-term perioperative outcome rankings correlate poorly with long-term survival outcome rankings when cancer treatment centers are compared. Factors explaining this discrepancy merit further study. Rankings based on short-term outcomes alone may be incomplete for public reporting.
Sections du résumé
BACKGROUND
BACKGROUND
The public is placing increased emphasis on specialty specific rankings, thereby affecting patients' choices of clinical care programs. In the spirit of transparency, public reporting initiatives are underway or being considered by various surgical specialties whose databases rank programs based on short-term outcomes. Of concern, short-term risk avoidance excludes important comparative cases from surgical database participation and may adversely affect overall long-term oncologic treatment team results. To assess the validity of comparing short-term perioperative and long-term survival outcomes of all patients treated at major centers, we studied the correlations between these variables.
METHODS
METHODS
The National Cancer Database was queried for patients diagnosed with non-small cell lung carcinoma (NSCLC) between 2008 and 2012, yielding 5-year follow-up data for all patients at centers treating at least 100 patients annually. Mortality (30- and 90-day), unplanned 30-day readmissions, and hospital length of stay were modeled using logistic regression with sex, race, age, Charlson-Deyo combined comorbidity, extent of surgery, income, insurance status, histology, grade, and analytic stage as predictors, all with 2-way interaction terms. The differences between the predicted rates and observed rates were calculated for each short-term outcome, and the average of these was used to create a short-term metric (STM). A similar approach was used to create a long-term metric (LTM) that used overall survival as a single dependent variable. Centers were ranked into deciles based on these metrics. Visual plotting as well as correlation coefficients were used to judge correlation between STM and LTM.
RESULTS
RESULTS
A total of 298,175 patients from 541 centers were included in this analysis, of whom 102,860 underwent surgical resection for NSCLC. The correlation between STM and LTM was negative using parametric estimates (Pearson correlation coefficient = -0.09 [P = .03] and -0.22 [P < .01]) and nonparametric estimates (Spearman rank correlation coefficient = -0.09 [P = .02] and -0.22 [P < .01]) for squamous cell carcinoma and adenocarcinoma, respectively.
CONCLUSIONS
CONCLUSIONS
Short-term perioperative outcome rankings correlate poorly with long-term survival outcome rankings when cancer treatment centers are compared. Factors explaining this discrepancy merit further study. Rankings based on short-term outcomes alone may be incomplete for public reporting.
Identifiants
pubmed: 33451832
pii: S0022-5223(20)33194-9
doi: 10.1016/j.jtcvs.2020.11.108
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
265-273Commentaires et corrections
Type : CommentIn
Type : CommentIn
Informations de copyright
Copyright © 2020 The American Association for Thoracic Surgery. Published by Elsevier Inc. All rights reserved.