Literature DB >> 8608472

Clinical symptoms and comorbidity: significance for the prognostic classification of cancer.

J F Piccirillo1, A R Feinstein.   

Abstract

BACKGROUND: In 1992, the Cancer Registries Amendment Act allotted 30 million dollars annually for five years to establish a national program of cancer registries. Because the cornerstone of cancer staging is the Tumor, Node, Metastasis (TNM) system, this article is devoted to a brief history of the system, to important concepts of clinical biology that should be included in classification systems for cancer, and to sources and potential solutions for current problems.
METHODS: A qualitative review of published literature on cancer staging, prognosis, and treatment effectiveness was performed, notes from previous American Joint Committee on Cancer (AJCC) meetings were reviewed, and a discussion with a former AJCC member was completed.
RESULTS: Despite an excellent description of a tumor's size and extent of anatomic spread, the TNM system does not alone account for the cancer's clinical biology which is manifested by both the structural form of a tumor its physiological function in a patient. Important prognostic information can be determined by a patient's symptoms, which reflect some of a tumor's biologic behavior, and by comorbidity that is not a feature of the cancer itself. Five reasons were identified for the adherence to a strictly morphologic staging system.
CONCLUSIONS: Widespread use of the TNM system during the past 30 years has unquestionably helped to standardize the classification of cancer and to improve prognostic estimates. Nevertheless, the estimates remain relatively imprecise, impairing the evaluation of treatment effectiveness. A prime scientific challenge in current cancer staging is to incorporate the omitted patient-based variables to produce an improved clinical system of classification.

Entities:  

Mesh:

Year:  1996        PMID: 8608472

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  34 in total

Review 1.  Defining comorbidity: implications for understanding health and health services.

Authors:  Jose M Valderas; Barbara Starfield; Bonnie Sibbald; Chris Salisbury; Martin Roland
Journal:  Ann Fam Med       Date:  2009 Jul-Aug       Impact factor: 5.166

2.  Development of a New Clinical Severity Staging System for Patients With Nonmetastatic Papillary Thyroid Carcinoma.

Authors:  Omar A Karadaghy; Dorina Kallogjeri; Jay F Piccirillo
Journal:  JAMA Otolaryngol Head Neck Surg       Date:  2017-12-01       Impact factor: 6.223

Review 3.  Integration of Chinese medicine with Western medicine could lead to future medicine: molecular module medicine.

Authors:  Chi Zhang; Ge Zhang; Ke-ji Chen; Ai-ping Lu
Journal:  Chin J Integr Med       Date:  2016-04-09       Impact factor: 1.978

4.  Inspiratory muscle weakness, diaphragm immobility and diaphragm atrophy after neck dissection.

Authors:  Anne Flavia Silva Galindo Santana; Pedro Caruso; Pauliane Vieira Santana; Gislaine Cristina Lopes Machado Porto; Luiz Paulo Kowalski; Jose Guilherme Vartanian
Journal:  Eur Arch Otorhinolaryngol       Date:  2018-03-05       Impact factor: 2.503

5.  Relation of comorbidities and patient navigation with the time to diagnostic resolution after abnormal cancer screening.

Authors:  Elizabeth M Whitley; Peter C Raich; Donald J Dudley; Karen M Freund; Electra D Paskett; Steven R Patierno; Melissa Simon; Victoria Warren-Mears; Frederick R Snyder
Journal:  Cancer       Date:  2016-09-20       Impact factor: 6.860

6.  Prognostic impact of comorbidity in patients with bladder cancer.

Authors:  Ifeanyichukwu I Megwalu; Anna Vlahiotis; Mohamed Radwan; Jay F Piccirillo; Adam S Kibel
Journal:  Eur Urol       Date:  2007-11-05       Impact factor: 20.096

7.  Comparison of comorbidity collection methods.

Authors:  Dorina Kallogjeri; Sheila M Gaynor; Marilyn L Piccirillo; Raymond A Jean; Edward L Spitznagel; Jay F Piccirillo
Journal:  J Am Coll Surg       Date:  2014-03-19       Impact factor: 6.113

8.  Adult Comorbidity Evaluation 27 score as a predictor of survival in endometrial cancer patients.

Authors:  Pratibha S Binder; Jeffrey F Peipert; D Kallogjeri; Rebecca A Brooks; L Stewart Massad; David G Mutch; Matthew A Powell; Premal H Thaker; Carolyn K McCourt
Journal:  Am J Obstet Gynecol       Date:  2016-07-22       Impact factor: 8.661

9.  Comorbidities and survival in a large cohort of patients with newly diagnosed myelodysplastic syndromes.

Authors:  Rong Wang; Cary P Gross; Stephanie Halene; Xiaomei Ma
Journal:  Leuk Res       Date:  2009-03-25       Impact factor: 3.156

10.  A prospective cohort study evaluating the prognostic impact of clinical characteristics and comorbid conditions of hospitalized adult and pediatric cancer patients with candidemia.

Authors:  E Velasco; R Bigni
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2008-06-12       Impact factor: 3.267

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