Literature DB >> 17543584

TAME: development of a new method for summarising adverse events of cancer treatment by the Radiation Therapy Oncology Group.

Andy Trotti1, Thomas F Pajak, Clement K Gwede, Rebecca Paulus, Jay Cooper, Arlene Forastiere, John A Ridge, Deborah Watkins-Bruner, Adam S Garden, K Kian Ang, Wally Curran.   

Abstract

BACKGROUND: We aimed to examine deficiencies in established methods of summarising adverse events, and to create a new reporting system (TAME) for summarising the toxicity burden of cancer treatment. TAME consolidates traditional adverse-event data into three risk domains: short-term (acute) Toxicity (T), Adverse long-term (late) effects (A), and Mortality risk (M) generated by a treatment programme (E=End results); and assigns treatments to risk classes for each risk domain.
METHODS: We examined formally an established method for summarising adverse events (the max-grade method) in five trials of patients with head and neck cancer done between September, 1991, and August, 2000, by the Radiation Therapy Oncology Group (RTOG) that involved 13 treatment groups (2304 patients). We calculated TAME summary metrics that included time and multiplicity factors in the same patient groups. We compared relative T values with relative values for toxic effects from the max-grade approach. We also calculated the range of individual patient T scores in two groups from one of the trials (the laryngeal-preservation trial).
RESULTS: The max-grade method systematically excluded 29-70% of total reported high-grade (grade 3-4) acute adverse events, contained progressive bias, and favoured higher toxicity programmes. Relative T values in the 13 treatment programmes tested showed an increase of almost 500% in acute toxicity burden (100-590) between treatment groups compared with a 170% increase (100-270) between treatment groups by use of the max-grade method. The difference between these two summary systems was statistically significant (mean difference -102 [95% CI -167 to -37], p=0.005, t test for paired differences). Four risk classes were designated for acute and relative late effects: low (100-140), moderate (150-390), high (400-490), and extreme (>or=500). The distribution of individual patient T scores showed that 82 (60%) patients who received concurrent platinum-radiotherapy for larynx preservation reported two or more high-grade events, and 34 (20%) reported four or more high-grade events; these findings differed significantly from the distribution of individual patient T scores for patients who received radiotherapy alone, in which 32 (19%) reported two or more high-grade events and 3 (3%) reported four or more high-grade events (p<0.0001). The max-grade method also systematically excluded 26-48% of high-grade (grade 3-4) late adverse events. However, less variation was noted in the relative risk of late events (100-270) by the TAME method for late effects.
INTERPRETATION: Traditional methods for summarising adverse events systematically exclude important data, giving an inaccurate impression of the toxicity burden in complex multimodality trials. By contrast, T values use data on all high-grade adverse events. T values are proportional to the intensity of treatment, showing a 500% increase between treatment groups in acute toxicity burden in RTOG trials of head and neck cancer done during this study interval. TAME reporting provides a concise and uniform method to compare relative risk among treatment options. Future studies should include testing the performance of the TAME system in additional datasets (from different research organisations and disease sites), prospective correlation of TAME endpoints with predefined outcome measures, and assessment of its usefulness in clinical decision making.

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Year:  2007        PMID: 17543584     DOI: 10.1016/S1470-2045(07)70144-4

Source DB:  PubMed          Journal:  Lancet Oncol        ISSN: 1470-2045            Impact factor:   41.316


  55 in total

1.  [Multimodal laryngeal preservation: current data-based opinion].

Authors:  A Dietz; A Boehm; G Wichmann; D Niederwieser; S Dietzsch; M Fuchs
Journal:  HNO       Date:  2012-01       Impact factor: 1.284

Review 2.  Current concepts of organ preservation in head and neck cancer.

Authors:  C-J Wang; R Knecht
Journal:  Eur Arch Otorhinolaryngol       Date:  2010-11-25       Impact factor: 2.503

3.  Adoption of transoral robotic surgery compared with other surgical modalities for treatment of oropharyngeal squamous cell carcinoma.

Authors:  Jennifer R Cracchiolo; Benjamin R Roman; David I Kutler; William I Kuhel; Marc A Cohen
Journal:  J Surg Oncol       Date:  2016-07-08       Impact factor: 3.454

4.  Enhancing patient-provider communication with the electronic self-report assessment for cancer: a randomized trial.

Authors:  Donna L Berry; Brent A Blumenstein; Barbara Halpenny; Seth Wolpin; Jesse R Fann; Mary Austin-Seymour; Nigel Bush; Bryant T Karras; William B Lober; Ruth McCorkle
Journal:  J Clin Oncol       Date:  2011-01-31       Impact factor: 44.544

5.  Impact of Neck Disability on Health-Related Quality of Life among Head and Neck Cancer Survivors.

Authors:  Marci L Nilsen; Lingyun Lyu; Michael A Belsky; Leila J Mady; Dan P Zandberg; David A Clump; Heath D Skinner; Shyamal Das Peddada; Susan George; Jonas T Johnson
Journal:  Otolaryngol Head Neck Surg       Date:  2019-10-15       Impact factor: 3.497

Review 6.  [Measuring quality of life in head and neck cancer. Current status and future needs].

Authors:  A Dietz; A Meyer; S Singer
Journal:  HNO       Date:  2009-09       Impact factor: 1.284

7.  Changing the perspective: current trends in the assessment of functional outcome in patients with head and neck cancer.

Authors:  Uta Tschiesner
Journal:  Curr Oncol Rep       Date:  2011-04       Impact factor: 5.075

Review 8.  Treatment de-intensification strategies for head and neck cancer.

Authors:  Jacqueline R Kelly; Zain A Husain; Barbara Burtness
Journal:  Eur J Cancer       Date:  2016-10-15       Impact factor: 9.162

9.  Quantitative tool to evaluate the somatic burden due to chemotherapy-induced adverse events: the somatic burden score.

Authors:  Michael Koehler; Thomas Fischer; Siegfried Kropf; Joerg Frommer
Journal:  Support Care Cancer       Date:  2014-07-05       Impact factor: 3.603

10.  Estimating global treatment toxicity burden from adverse-event data.

Authors:  Shing M Lee; Dawn L Hershman; Jieling Miao; Xiaobo Zhong; Joseph M Unger; Ying Kuen Ken Cheung
Journal:  Cancer       Date:  2017-11-07       Impact factor: 6.860

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