Literature DB >> 26784705

American Joint Committee on Cancer acceptance criteria for inclusion of risk models for individualized prognosis in the practice of precision medicine.

Michael W Kattan1, Kenneth R Hess2, Mahul B Amin3, Ying Lu4, Karl G M Moons5, Jeffrey E Gershenwald6, Phyllis A Gimotty7, Justin H Guinney8, Susan Halabi9, Alexander J Lazar10, Alyson L Mahar11, Tushar Patel12, Daniel J Sargent13, Martin R Weiser14, Carolyn Compton15.   

Abstract

The American Joint Committee on Cancer (AJCC) has increasingly recognized the need for more personalized probabilistic predictions than those delivered by ordinal staging systems, particularly through the use of accurate risk models or calculators. However, judging the quality and acceptability of a risk model is complex. The AJCC Precision Medicine Core conducted a 2-day meeting to discuss characteristics necessary for a quality risk model in cancer patients. More specifically, the committee established inclusion and exclusion criteria necessary for a risk model to potentially be endorsed by the AJCC. This committee reviewed and discussed relevant literature before creating a checklist unique to this need of AJCC risk model endorsement. The committee identified 13 inclusion and 3 exclusion criteria for AJCC risk model endorsement in cancer. The emphasis centered on performance metrics, implementation clarity, and clinical relevance. The facilitation of personalized probabilistic predictions for cancer patients holds tremendous promise, and these criteria will hopefully greatly accelerate this process. Moreover, these criteria might be useful for a general audience when trying to judge the potential applicability of a published risk model in any clinical domain. CA Cancer J Clin 2016;66:370-374.
© 2016 American Cancer Society. © 2016 American Cancer Society.

Entities:  

Keywords:  decision making; evidence-based medicine; patient preferences; personalized medicine

Mesh:

Year:  2016        PMID: 26784705      PMCID: PMC4955656          DOI: 10.3322/caac.21339

Source DB:  PubMed          Journal:  CA Cancer J Clin        ISSN: 0007-9235            Impact factor:   508.702


  10 in total

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Review 2.  Estimation of failure probabilities in the presence of competing risks: new representations of old estimators.

Authors:  T A Gooley; W Leisenring; J Crowley; B E Storer
Journal:  Stat Med       Date:  1999-03-30       Impact factor: 2.373

3.  2010 TNM staging system for cutaneous melanoma...and beyond.

Authors:  Jeffrey E Gershenwald; Seng-jaw Soong; Charles M Balch
Journal:  Ann Surg Oncol       Date:  2010-06       Impact factor: 5.344

4.  Translating clinical research into clinical practice: impact of using prediction rules to make decisions.

Authors:  Brendan M Reilly; Arthur T Evans
Journal:  Ann Intern Med       Date:  2006-02-07       Impact factor: 25.391

5.  Prediction models need appropriate internal, internal-external, and external validation.

Authors:  Ewout W Steyerberg; Frank E Harrell
Journal:  J Clin Epidemiol       Date:  2015-04-18       Impact factor: 6.437

6.  Improving the quality of cancer staging.

Authors:  Elliot A Asare; Mary Kay Washington; Donna M Gress; Jeffrey E Gershenwald; Frederick L Greene
Journal:  CA Cancer J Clin       Date:  2015-05-07       Impact factor: 508.702

7.  Evaluating the yield of medical tests.

Authors:  F E Harrell; R M Califf; D B Pryor; K L Lee; R A Rosati
Journal:  JAMA       Date:  1982-05-14       Impact factor: 56.272

8.  Assessing the generalizability of prognostic information.

Authors:  A C Justice; K E Covinsky; J A Berlin
Journal:  Ann Intern Med       Date:  1999-03-16       Impact factor: 25.391

9.  Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration.

Authors:  Karel G M Moons; Douglas G Altman; Johannes B Reitsma; John P A Ioannidis; Petra Macaskill; Ewout W Steyerberg; Andrew J Vickers; David F Ransohoff; Gary S Collins
Journal:  Ann Intern Med       Date:  2015-01-06       Impact factor: 25.391

10.  Sample size considerations for the external validation of a multivariable prognostic model: a resampling study.

Authors:  Gary S Collins; Emmanuel O Ogundimu; Douglas G Altman
Journal:  Stat Med       Date:  2015-11-09       Impact factor: 2.373

  10 in total
  80 in total

1.  Prognostic Molecular Classification of Appendiceal Mucinous Neoplasms Treated with Cytoreductive Surgery and Hyperthermic Intraperitoneal Chemotherapy.

Authors:  Jing Su; Guangxu Jin; Konstantinos I Votanopoulos; Lou Craddock; Perry Shen; Jeff W Chou; Shadi Qasem; Stacey S O'Neill; Kathleen Cummins Perry; Lance D Miller; Edward A Levine
Journal:  Ann Surg Oncol       Date:  2020-01-24       Impact factor: 5.344

2.  Factors Affecting Sentinel Node Metastasis in Thin (T1) Cutaneous Melanomas: Development and External Validation of a Predictive Nomogram.

Authors:  Andrea Maurichi; Rosalba Miceli; Hanna Eriksson; Julia Newton-Bishop; Jérémie Nsengimana; May Chan; Andrew J Hayes; Kara Heelan; David Adams; Roberto Patuzzo; Francesco Barretta; Gianfranco Gallino; Catherine Harwood; Daniele Bergamaschi; Dorothy Bennett; Konstantinos Lasithiotakis; Paola Ghiorzo; Bruna Dalmasso; Ausilia Manganoni; Francesca Consoli; Ilaria Mattavelli; Consuelo Barbieri; Andrea Leva; Umberto Cortinovis; Vittoria Espeli; Cristina Mangas; Pietro Quaglino; Simone Ribero; Paolo Broganelli; Giovanni Pellacani; Caterina Longo; Corrado Del Forno; Lorenzo Borgognoni; Serena Sestini; Nicola Pimpinelli; Sara Fortunato; Alessandra Chiarugi; Paolo Nardini; Elena Morittu; Antonio Florita; Mara Cossa; Barbara Valeri; Massimo Milione; Giancarlo Pruneri; Odysseas Zoras; Andrea Anichini; Roberta Mortarini; Mario Santinami
Journal:  J Clin Oncol       Date:  2020-03-13       Impact factor: 44.544

3.  Early squamous cell carcinoma of the oral tongue with histologically benign lymph nodes: A model predicting local control and vetting of the eighth edition of the American Joint Committee on Cancer pathologic T stage.

Authors:  Shaum Sridharan; Lester D R Thompson; Bibianna Purgina; Charles D Sturgis; Akeesha A Shah; Brian Burkey; Madalina Tuluc; David Cognetti; Bin Xu; Kevin Higgins; Juan C Hernandez-Prera; Dominick Guerrero; Manish M Bundele; Seungwon Kim; Umamaheswar Duvvuri; Robert L Ferris; William E Gooding; Simion I Chiosea
Journal:  Cancer       Date:  2019-06-07       Impact factor: 6.860

Review 4.  The evolution of nasopharyngeal carcinoma staging.

Authors:  Rui Guo; Yan-Ping Mao; Ling-Long Tang; Lei Chen; Ying Sun; Jun Ma
Journal:  Br J Radiol       Date:  2019-07-12       Impact factor: 3.039

5.  Revisiting AJCC TNM staging for renal cell carcinoma: quest for improvement.

Authors:  Umang Swami; Roberto H Nussenzveig; Benjamin Haaland; Neeraj Agarwal
Journal:  Ann Transl Med       Date:  2019-03

Review 6.  Molecular substratification of bladder cancer: moving towards individualized patient management.

Authors:  Anirban P Mitra
Journal:  Ther Adv Urol       Date:  2016-03-28

7.  Evaluating TNM stage prognostic ability in a population-based cohort of gastric adenocarcinoma patients in a low-incidence country.

Authors:  Alyson L Mahar; Brandon Zagorski; Daniel Kagedan; Matthew Dixon; Abraham El-Sedfy; Jovanka Vasilevska-Ristovska; Daniela Cortinovis; Corwyn Rowsell; Calvin Law; Lucy Helyer; Lawrence Paszat; Natalie Coburn
Journal:  Can J Public Health       Date:  2018-08-08

Review 8.  Molecular mechanisms of the preventable causes of cancer in the United States.

Authors:  Erica A Golemis; Paul Scheet; Tim N Beck; Eward M Scolnick; David J Hunter; Ernest Hawk; Nancy Hopkins
Journal:  Genes Dev       Date:  2018-06-26       Impact factor: 11.361

9.  Individualized outcome prognostication for patients with laryngeal cancer.

Authors:  Connor W Hoban; Lauren J Beesley; Emily L Bellile; Yilun Sun; Matthew E Spector; Gregory T Wolf; Jeremy M G Taylor; Andrew G Shuman
Journal:  Cancer       Date:  2017-11-07       Impact factor: 6.860

10.  Prognostic and predictive parameters in breast pathology: a pathologist's primer.

Authors:  Kimberly H Allison
Journal:  Mod Pathol       Date:  2020-11-05       Impact factor: 7.842

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