Prognostic Utility of the Modified Systemic Inflammation Score for Patients Undergoing Oral Cavity Cancer Surgery
2024

Prognostic Utility of the Modified Systemic Inflammation Score for Oral Cavity Cancer Surgery

Sample size: 320 publication 10 minutes Evidence: high

Author Information

Author(s): Fang Ku-Hao, Lo Sheng-Wei, Kudva Adarsh, De Vito Andrea, Tsai Yuan-Hsiung, Hsu Cheng-Ming, Chang Geng-He, Huang Ethan I., Tsai Ming-Shao, Tsai Ming-Hsien, Liao Chun-Ta, Kang Chung-Jan, Tsai Yao-Te

Primary Institution: Chang Gung Memorial Hospital

Hypothesis

The modified systemic inflammation score (mSIS) effectively indicates prognosis in patients with oral cavity squamous cell carcinoma (OCSCC) undergoing surgery.

Conclusion

The mSIS reliably predicts overall survival and disease-free survival in OCSCC patients undergoing surgery.

Supporting Evidence

  • High preoperative mSIS scores correlate with unfavorable clinicopathological features.
  • Kaplan–Meier analysis showed that a high mSIS is associated with lower 5-year overall survival and disease-free survival rates.
  • Multivariable analysis confirmed mSIS = 2 as an independent risk factor for both disease-free survival and overall survival.

Takeaway

Doctors can use a score called mSIS to help predict how well patients with mouth cancer will do after surgery.

Methodology

The study retrospectively reviewed data from 320 OCSCC patients who underwent curative surgery, classifying them based on preoperative lymphocyte-to-monocyte ratio and serum albumin levels.

Potential Biases

Potential selection bias due to the retrospective nature of the study.

Limitations

The study's retrospective, single-center design may introduce selection bias, and the prognostic value of mSIS was not validated with an independent dataset.

Participant Demographics

Most participants were male (90.3%), with a median age of 61 years, and 63.4% were younger than 65 years.

Statistical Information

P-Value

p<0.001

Confidence Interval

95% CI, 0.723–0.786

Statistical Significance

p<0.001

Digital Object Identifier (DOI)

10.3390/diagnostics14242856

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