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ISSN 1029-3019 (Electronic)

2017, Number 04

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MediSan 2017; 21 (04)

Statistical analysis involving the identification of mortality prediction factors due to breast cancer

Moraga RA, Zamora ML, Sagaró CNM, Moraga RA, Rodríguez GA

Language: Spanish
References: 19
Page: 395-406
PDF size: 1226.96 Kb.


ABSTRACT

An analytical observational study was carried out to evaluate the usefulness of a new technique of statistical analysis involving the identification of mortality prediction factors due to breast cancer in Santiago de Cuba, from September, 2013 to the same month in 2014. According to the logistical regression, the poor prediction factors were the neural invasion, radiotherapy; according to statistical involving analysis, neural invasion, radiotherapy, vascular invasion and histological differentiation stage III. The statistical involving analysis was a suitable technique that complements the logistical regression in the identification of prediction factors, with which a better understanding of causation is achieved and the quality of this type of investigations increases.


REFERENCES

  1. González Longoria LB. Factores pronósticos anatomopatológicos de supervivencia en el cáncer de mama. MEDISAN. 2012 [citado 12 Ene 2016];16(12).

  2. Pita Fernández S, Valdés Cañedo FA. Determinación de factores pronósticos. Cad Aten Primaria. 1997;4:26-9.

  3. Álvarez Goyanes RI. Evaluación de factores pronósticos y predictivos en cáncer de mama en Cuba. Su papel en la terapia personalizada [Tesis doctoral]. La Habana: Instituto Nacional de Oncología y Radiobiología, 2011 [citado 12 Ene 2016].

  4. Flores Luna L, Salazar Martínez E, Duarte Torres RM, Torres Mejía G, Alonso Ruiz P, Lazcano Ponce E. Factores pronósticos relacionados con la supervivencia del cáncer de mama. Salud Pública Mex. 2008;50:119-25.

  5. Zamora Matamoros L, Orús Báguena P, Díaz Silvera J. El análisis estadístico implicativo, instrumento común de investigación en una experiencia de cooperación multidisciplinar: “visualizar” una expresión de discontinuidad del rendimiento académico en estudiantes universitarios de Matemática y Computación usando análisis estadístico implicativo. Quaderni di Ricerca di Ricerca in Didattica (Mathematics). 2010;20(Suppl1):451-75.

  6. Orús Báguena P, Zamora Matamoros L, Gregori Huerta P. Trabajos teóricos. Conceptos fundamentales del análisis estadístico implicativo (ASI) y su soporte computacional CHIC. En: Teoría y aplicaciones del análisis estadístico implicativo: primera aproximación en lengua hispana. Castellón: Universitat Jaume I de Castellón; 2009.p.65-103.

  7. Sung Gwe A, Hak Min L, Sang Hoon Ch, Seung Ah L, Seung Hyun H, Joon J, et al. Prognostic factors for patients with bone-only metastasis in Breast Cancer. Yonsei Med J. 2013;54(5):1168–77.

  8. Phillips KA, Milne RL, Friedlander ML, Jenkins MA, McCredie MR, Giles GG, et al. Prognosis of premenopausal breast cancer and childbirth prior to diagnosis. J Clin Oncol. 2004;22(4):699-705.

  9. Kroman N, Wohlfahrt J, Andersen KW, Mouridsen HT, Westergaard T, Melbye M. Time since childbirth and prognosis in primary breast cancer: population based study. BMJ. 1997;315(7112):851–5.

  10. Early Breast CancerTrialists' Collaborative Group, McGale P, Taylor C, Correa C, Cutter D, Duane F, et al. Effect of radiotherapy after mastectomy and axillary surgery on 10-year recurrence and 20-year breast cancer mortality: meta-analysis of individual patient data for 8135 women in 22 randomised trials. Lancet. 2014;383(9935):2127-35.

  11. Hoffman HJ, Khan A, Ajmera KM, Zolfaghari L, Schenfeld JR, Levine PH. Initial response to chemotherapy, not delay in diagnosis, predicts overall survival in inflammatory breast cancer cases. Am J Clin Oncol. 2014;37(4):315-21.

  12. Early Breast CancerTrialists' Collaborative Group. Favourable and unfavourable effects on long-term survival of radiotherapy for early breast cancer: an overview of the randomised trials. Lancet. 2000;355(9217):1757-70.

  13. Yaming Li, Meena M, Qiang H, Qifeng Y, Bruce H. Post-mastectomy radiotherapy for breast cancer patients with T1-T2 and 1-3 positive lymph nodes: a meta-analysis. PLoS One. 2013;8(12):81765.

  14. Budach W, Kammers K, Boelke E, Matuschek Ch. Adjuvant radiotherapy of regional lymph nodes in breast cancer -a meta-analysis of randomized trials. Radiat Oncol. 2013;8:267.

  15. Early Breast Cancer Trialists' Collaborative Group. Effect of radiotherapy after breast-conserving surgery on 10-year recurrence and 15-year breast cancer death: meta-analysis of individual patient data for 10 801 women in 17 randomised trials. Lancet. 2011;378(9804):1707–16.

  16. Petrelli F, Barni S. Surgery of primary tumors in stage IV breast cancer: an updated meta-analysis of published studies with meta-regression. Med Oncol. 2012;29(5):3282-90.

  17. Sangwoo K, Hojung N, Doheon L. Exploring molecular links between lymph node invasion and cancer prognosis in human breast cancer. BMC Syst Biol. 2011; 5(Suppl 2):4.

  18. Pinder SE, Ellis IO, Galea M, O'Rouke S, Blamey RW, Elston CW. Pathological prognostic factors in breast cancer. III. Vascular invasion: relationship with recurrence and survival in a large study with long-term follow-up. Histopathology. 1994;24(1):41-7.

  19. Mannelqvist M, Wik E, Stefansson IM, Akslen LA. An 18-gene signature for vascular invasion is Associated with Aggressive Features and Reduced Survival in Breast Cancer. PLoSOne. 2014;9(6):98787.




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