• J. Thorac. Cardiovasc. Surg. · Jan 2022

    Correlation between perioperative outcomes and long-term survival for non-small lung cancer treated at major centers.

    • Mark Hennon, Adrienne Groman, Abhinav Kumar, Lawson Castaldo, Sabrina George, Todd Demmy, Kristopher Attwood, and Sai Yendamuri.
    • J. Thorac. Cardiovasc. Surg. 2022 Jan 1; 163 (1): 265-273.

    BackgroundThe 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.MethodsThe 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.ResultsA 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.ConclusionsShort-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.Copyright © 2020 The American Association for Thoracic Surgery. Published by Elsevier Inc. All rights reserved.

      Pubmed     Full text   Copy Citation     Plaintext  

      Add institutional full text...

    Notes

     
    Knowledge, pearl, summary or comment to share?
    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…

What will the 'Medical Journal of You' look like?

Start your free 21 day trial now.

We guarantee your privacy. Your email address will not be shared.