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Comparative Study
. 2020 May;11(5):1265-1270.
doi: 10.1111/1759-7714.13391. Epub 2020 Mar 19.

Real world study for the concordance between IBM Watson for Oncology and clinical practice in advanced non-small cell lung cancer patients at a lung cancer center in China

Shuyang Yao  1 , Ruotian Wang  1 , Kun Qian  1 , Yi Zhang  1
Affiliations
Comparative Study

Real world study for the concordance between IBM Watson for Oncology and clinical practice in advanced non-small cell lung cancer patients at a lung cancer center in China

Shuyang Yao et al. Thorac Cancer. 2020 May.

Abstract

Background: IBM Watson for Oncology (WFO) provides physicians with evidence-based treatment options. This study was designed to explore the concordance of the suggested therapeutic regimen for advanced non-small cell lung (NSCLC) cancer patients between the updated version of WFO and physicians in our department, in order to reflect the differences of cancer treatment between China and the United States.

Methods: Retrospective data from 165 patients with advanced NSCLC from September 2014 to March 2018 were entered manually into WFO. WFO recommendations were provided in three categories: recommended, for consideration, and not recommended. Concordance was analyzed by comparing the treatment decisions proposed by WFO with the real treatment. Potential influenced factors were also analyzed.

Results: Overall, the treatment recommendations were concordant in 73.3% (121/165) of cases. When two alternative drugs such as icotinib and nedaplatin were included as "for consideration," the total consistency could be elevated from 73.3% to 90.3%(149/165). The logistic regression analysis showed that gender (P = 0.096), ECOG (P = 0.0.502), smoking (P = 0.455), and pathology (P = 0.633) had no effect on consistency, but stages (P = 0.019), including stage ≤III (77.8%, 21/27) and stage IV (93.5%, 129/138) had significant effects on consistency.

Conclusions: In China, most of the treatment recommendations of WFO are consistent with the real world treatment. Factors such as patient preferences, prices, drug approval and medical insurance are also taken into consideration, and they ultimately affect the inconsistency. To be comprehensively and rapidly applied in China, localization needs to be accelerated by WFO.

Keywords: Advanced disease; Watson for Oncology; artificial intelligence; concordance; non-small cell lung cancer.

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Figures

Figure 1
Figure 1
Concordance between WFO and our center treatment by gender, ECOG, smoking, stage and pathology. Concordance (formula image) inconsistency and (formula image) consistency.
See this image and copyright information in PMC

References

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