Use of NHS PREDICT Tool and Prognostic Factors for Survival in Patients with Breast Cancer

Year 2024, , 105 - 111, 30.08.2024

Koh Chee Keong , Wan Zainira Wan Zain , Zalına Zaharı , Maya Mazuwın Yahya , Hussain Mohamad

https://doi.org/10.18678/dtfd.1419974

Abstract

Aim: The PREDICT tool is used to estimate survival in breast cancer patients according to the types of treatment given. This study aimed to assess the accuracy of the PREDICT tool and identify the prognostic factors for survival in patients with breast cancer.
Material and Methods: A retrospective study was performed based on data collected from the Hospital Sultanah Nur Zahirah, Terengganu, Malaysia. All female patients diagnosed with stage I to IV breast cancer were identified from the year 2011 to 2017.
Results: Based on data from 355 eligible patients, the predicted and observed 5-year overall survival rates were 75.8% and 75.2%, respectively. The model performed fairly well, with the area under the curve (AUC) of 0.747 (95% confidence interval (CI): 0.69-0.81) in the predicted 5-year overall survival. Among the 585 patients diagnosed with stage I to IV breast cancer, stage at the presentation (stage III hazard ratio (HR): 5.80, 95% CI: 1.69-19.94, p=0.005, stage IV HR: 10.61, 95% CI: 3.09-36.49, p<0.001), without surgical treatment (HR: 2.29, 95% CI: 1.73-3.00, p<0.001), without radiotherapy (HR: 1.92, 95% CI: 1.41-2.62, p<0.001), and without neoadjuvant chemotherapy (HR: 0.63, 95% CI: 0.47-0.86, p=0.003) were associated with death in breast cancer patients.
Conclusion: The PREDICT tool accurately estimated the 5-year overall survival in the study center. It might serve as a useful prognostication tool during consultation. Late stages of the disease, patients without surgical treatment, and patients without radiotherapy were associated with a higher risk of death in breast cancer.

Keywords

breast cancer, 5-year overall survival, PREDICT

Meme Kanserli Hastalarda Hayatta Kalma için NHS PREDICT Aracının Kullanımı ve Prognostik Faktörler

Abstract

Amaç: PREDICT aracı, meme kanseri hastalarında verilen tedavi türlerine göre sağkalımı tahmin etmek için kullanılır. Bu çalışmanın amacı, PREDICT aracının doğruluğunu değerlendirmek ve meme kanserli hastalarda sağkalım için prognostik faktörleri belirlemektir.
Gereç ve Yöntemler: Malezya'nın Terengganu şehrindeki Sultanah Nur Zahirah Hastanesi'nden toplanan verilere dayalı olarak geriye dönük bir çalışma yapıldı. 2011 ve 2017 yılları arasında evre I ila IV meme kanseri tanısı alan tüm kadın hastalar belirlendi.
Bulgular: Uygun 355 hastadan elde edilen verilere dayanarak, öngörülen ve gözlemlenen 5 yıllık genel sağkalım oranları sırasıyla %75,8 ve %75,2 idi. Model, öngörülen 5 yıllık genel sağkalımda 0,747 (%95 GA: 0,69-0,81) eğri altında kalan alan (area under the curve, AUC) ile oldukça iyi performans gösterdi. Evre I ila IV meme kanseri tanısı alan 585 hasta arasında, başvuru anındaki evre (evre III hazard oranı (hazard ratio, HR): 5,80, %95 GA: 1,69-19,94, p=0,005, evre IV HR: 10,61, %95 GA: 3,09-36,49, p<0,001), cerrahi tedavi olmaması (HR: 2,29, %95 GA: 1,73-3,00, p<0,001), radyoterapi olmaması (HR: 1,92, %95 GA: 1,41-2,62, p<0,001) ve neoadjuvan kemoterapi olmaması (HR: 0,63, %95 GA: 0,47-0,86, p=0,003) meme kanseri hastalarında ölümle ilişkiliydi.
Sonuç: PREDICT aracı çalışma merkezindeki 5 yıllık genel sağkalımı doğru bir şekilde tahmin etti. Konsültasyon sırasında yararlı bir prognoz aracı olarak hizmet edebilir. Hastalığın ileri evreleri, cerrahi tedavi uygulanmayan hastalar ve radyoterapi uygulanmayan hastalar meme kanserinde daha yüksek ölüm riskiyle ilişkilidir.

Keywords

PREDICT, meme kanseri, 5 yıllık genel sağkalım

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