Literature DB >> 26764250

Optimizing the G8 Screening Tool for Older Patients With Cancer: Diagnostic Performance and Validation of a Six-Item Version.

Claudia Martinez-Tapia1, Florence Canoui-Poitrine2, Sylvie Bastuji-Garin3, Pierre Soubeyran4, Simone Mathoulin-Pelissier5, Christophe Tournigand6, Elena Paillaud7, Marie Laurent7, Etienne Audureau8.   

Abstract

BACKGROUND: A multidimensional geriatric assessment (GA) is recommended in older cancer patients to inventory health problems and tailor treatment decisions accordingly but requires considerable time and human resources. The G8 is among the most sensitive screening tools for selecting patients warranting a full GA but has limited specificity. We sought to develop and validate an optimized version of the G8. PATIENTS AND METHODS: We used a prospective cohort of cancer patients aged ≥ 70 years referred to geriatricians for GA (2007-2012: n = 729 [training set]; 2012-2014: n = 414 [validation set]). Abnormal GA was defined as at least one impaired domain across seven validated tests. Multiple correspondence analysis, multivariate logistic regression, and bootstrapped internal validation were performed sequentially.
RESULTS: The final model included six independent predictors for abnormal GA: weight loss, cognition/mood, performance status, self-rated health status, polypharmacy (≥ 6 medications per day), and history of heart failure/coronary heart disease. For the original G8, sensitivity was 87.2% (95% confidence interval, 84.3-89.7), specificity 57.7% (47.3-67.7), and area under the receiver-operating characteristic curve (AUROC) 86.5% (83.5-89.6). The modified G8 had corresponding values of 89.2% (86.5-91.5), 79.0% (69.4-86.6), and 91.6% (89.3; 93.9), with higher AUROC values for all tumor sites and stable properties on the validation set.
CONCLUSION: A modified G8 screening tool exhibited better diagnostic performance with greater uniformity across cancer sites and required only six items. If these features are confirmed in other settings, the modified tool may facilitate selection for a full GA in older patients with cancer. IMPLICATIONS FOR PRACTICE: Several screening tools have been developed to identify older patients with cancer likely to benefit from a complete geriatric assessment, but none combines appropriate sensitivity and specificity. Based on a large prospective cohort study, an optimized G8 tool was developed, combining a systematic statistical approach with expert judgment to ensure optimal discriminative power and clinical relevance. The improved screening tool achieves high sensitivity, high specificity, better homogeneity across cancer types, and greater parsimony with only six items needed, facilitating selection for a full geriatric assessment. ©AlphaMed Press.

Entities:  

Keywords:  Cancer; Frailty; Geriatric assessment; Sensitivity and specificity

Mesh:

Year:  2016        PMID: 26764250      PMCID: PMC4746091          DOI: 10.1634/theoncologist.2015-0326

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159


  20 in total

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Authors:  Siri R Kristjansson; Arild Nesbakken; Marit S Jordhøy; Eva Skovlund; Riccardo A Audisio; Hans-Olaf Johannessen; Arne Bakka; Torgeir B Wyller
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Review 2.  Diagnostic and prognostic prediction models.

Authors:  J M T Hendriksen; G J Geersing; K G M Moons; J A H de Groot
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3.  Screening tools for multidimensional health problems warranting a geriatric assessment in older cancer patients: an update on SIOG recommendations†.

Authors:  L Decoster; K Van Puyvelde; S Mohile; U Wedding; U Basso; G Colloca; S Rostoft; J Overcash; H Wildiers; C Steer; G Kimmick; R Kanesvaran; A Luciani; C Terret; A Hurria; C Kenis; R Audisio; M Extermann
Journal:  Ann Oncol       Date:  2014-06-16       Impact factor: 32.976

Review 4.  Frailty screening methods for predicting outcome of a comprehensive geriatric assessment in elderly patients with cancer: a systematic review.

Authors:  Marije E Hamaker; Judith M Jonker; Sophia E de Rooij; Alinda G Vos; Carolien H Smorenburg; Barbara C van Munster
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5.  Comprehensive geriatric assessment in the decision-making process in elderly patients with cancer: ELCAPA study.

Authors:  Philippe Caillet; Florence Canoui-Poitrine; Johanna Vouriot; Muriel Berle; Nicoleta Reinald; Sebastien Krypciak; Sylvie Bastuji-Garin; Stephane Culine; Elena Paillaud
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6.  Prognostic value of geriatric assessment in older patients with advanced breast cancer receiving chemotherapy.

Authors:  A A Aaldriks; E J Giltay; S le Cessie; L G M van der Geest; J E A Portielje; B C Tanis; J W R Nortier; E Maartense
Journal:  Breast       Date:  2013-02-14       Impact factor: 4.380

7.  Predictors of early death risk in older patients treated with first-line chemotherapy for cancer.

Authors:  Pierre Soubeyran; Marianne Fonck; Christèle Blanc-Bisson; Jean-Frédéric Blanc; Joël Ceccaldi; Cécile Mertens; Yves Imbert; Laurent Cany; Luc Vogt; Jerôme Dauba; Francis Andriamampionona; Nadine Houédé; Anne Floquet; Francois Chomy; Véronique Brouste; Alain Ravaud; Carine Bellera; Muriel Rainfray
Journal:  J Clin Oncol       Date:  2012-04-16       Impact factor: 44.544

8.  Screening older cancer patients: first evaluation of the G-8 geriatric screening tool.

Authors:  C A Bellera; M Rainfray; S Mathoulin-Pélissier; C Mertens; F Delva; M Fonck; P L Soubeyran
Journal:  Ann Oncol       Date:  2012-01-16       Impact factor: 32.976

Review 9.  Comprehensive geriatric assessment for older patients with cancer.

Authors:  Martine Extermann; Arti Hurria
Journal:  J Clin Oncol       Date:  2007-05-10       Impact factor: 44.544

Review 10.  Impacts of geriatric evaluation and management programs on defined outcomes: overview of the evidence.

Authors:  L Z Rubenstein; A E Stuck; A L Siu; D Wieland
Journal:  J Am Geriatr Soc       Date:  1991-09       Impact factor: 5.562

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Journal:  Oncologist       Date:  2017-04-13

2.  Changes in the Use of Comprehensive Geriatric Assessment in Clinical Trials for Older Patients with Cancer over Time.

Authors:  Olivia Le Saux; Claire Falandry; Hui K Gan; Benoit You; Gilles Freyer; Julien Péron
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Review 3.  Treatment of Metastatic Prostate Cancer in Older Adults.

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Journal:  Curr Oncol Rep       Date:  2016-10       Impact factor: 5.075

4.  Integrating patient-centered factors in the risk assessment of MDS.

Authors:  Rena J Buckstein
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2019-12-06

Review 5.  Targeted Agents for HER2-Positive Breast Cancer: Optimal Use in Older Patients.

Authors:  Jasmeet Chadha Singh; Stuart M Lichtman
Journal:  Drugs Aging       Date:  2021-08-23       Impact factor: 4.271

6.  Reliable Prediction of Post-Operative Complications' Rate Using the G8 Screening Tool: A Prospective Study on Elderly Patients Undergoing Surgery for Kidney Cancer.

Authors:  Fabio Traunero; Francesco Claps; Tommaso Silvestri; Maria Carmen Mir; Luca Ongaro; Michele Rizzo; Andrea Piasentin; Giovanni Liguori; Francesca Vedovo; Antonio Celia; Carlo Trombetta; Nicola Pavan
Journal:  J Clin Med       Date:  2022-06-30       Impact factor: 4.964

7.  Global Risk Indicator and Therapy for Older Patients With Diffuse Large B-Cell Lymphoma: A Population-Based Study.

Authors:  Mengyang Di; Tamra Keeney; Emmanuelle Belanger; Orestis A Panagiotou; Adam J Olszewski
Journal:  JCO Oncol Pract       Date:  2021-11-30

Review 8.  Treatment of Urothelial Cancer in Elderly Patients: Focus on Immune Checkpoint Inhibitors.

Authors:  Gray Jodon; Stacy M Fischer; Elizabeth R Kessler
Journal:  Drugs Aging       Date:  2018-05       Impact factor: 3.923

Review 9.  Challenges and Opportunities in the Management of Diffuse Large B-Cell Lymphoma in Older Patients.

Authors:  Mengyang Di; Scott F Huntington; Adam J Olszewski
Journal:  Oncologist       Date:  2020-12-09       Impact factor: 5.837

10.  Folfirinox in elderly patients with pancreatic or colorectal cancer-tolerance and efficacy.

Authors:  Jean-Florian Guion-Dusserre; Aurélie Bertaut; François Ghiringhelli; Julie Vincent; Valérie Quipourt; Sophie Marilier; Zoé Tharin; Leila Bengrine-Lefevre
Journal:  World J Gastroenterol       Date:  2016-11-14       Impact factor: 5.742

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