Patients over 65 years are assigned lower ECOG PS scores than younger patients, although objectively measured physical activity is no different

Broderick, Julie; Hussey, Juliette; Kennedy, M. John; Donnell, D. M. O'

doi:10.1016/j.jgo.2013.07.010

Cited by 31 publications

(18 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…model due largely to its unstable predictive ability as demonstrated by a survey from the St. James's Hospital Cancer Center (Dublin, Ireland). 28 Nevertheless, future validation studies considering the abovementioned factors would certainly advance the applicability of this nomogram model for predicting OS among GC patients.…”

Section: Discussionmentioning

confidence: 99%

<p>A Nomogram Based on Preoperative Clinical Bio-Indicators to Predict 5-year Survivals for Patients with Gastric Cancer After Radical Gastrectomy</p>

Yin¹,

Liu²,

Xu³

et al. 2020

CMAR

View full text Add to dashboard Cite

Purpose: This study aimed to improve the prediction of postoperative survival outcomes for patients with gastric cancer (GC) using a nomogram based on preoperative bio-indicators. Patients and Methods: This retrospective study included 303 GC patients who had undergone radical gastrectomy from 2004 to 2013 at the First Affiliated Hospital, Shihezi University. The patients were followed up for 175 months after surgery and then divided into short-term (n=201) or long-term (n=102) survival groups. We used an expectationmaximization method to fill any missing data from the reviewed patient files. We then employed the Cox proportional hazard regression to identify biochemical markers that could predict 5-year overall survival (OS) as an endpoint among GC patients. Based on the results from the biochemical analysis, we developed a nomogram and assessed its performance and reliability. Results: The variables significantly associated with OS in a multivariate analysis were age, body mass index (BMI), cell differentiation, high-density lipoprotein cholesterol (HDL-C), as well as serum potassium or serum magnesium. Combining all these predictors allowed us to establish a nomogram (C-index=0.701) whose accuracy of predicting survival was higher than the TNM staging system established by the 8th American Joint Committee on Cancer (C-index=0.666; p=0.016). Furthermore, decision curve of this nomogram was shown to have an ideal net clinical benefit rate. Conclusion: We have developed an algorithm using preoperative bio-indicators and clinical features to predict prognosis for GC patients. This tool may help clinicians to strategize appropriate treatment options for GC patients prior to surgery.

show abstract

Section: Discussionmentioning

confidence: 99%

<p>A Nomogram Based on Preoperative Clinical Bio-Indicators to Predict 5-year Survivals for Patients with Gastric Cancer After Radical Gastrectomy</p>

Yin¹,

Liu²,

Xu³

et al. 2020

CMAR

View full text Add to dashboard Cite

show abstract

“…56 In another prospective study, 100 treatment-naïve patients with cancer wore an accelerometer before their oncology office visit. 57 A significant inverse association between objectively measured activity and ECOG PS was reported. Accelerometer-assessed activity was able to differentiate patients with clinician-assigned ECOG PS of 0 from those with ECOG PS of 2 to 3 but not from those with ECOG PS of 1.…”

Section: Prior Validation Of Physical Activity Monitors In Oncologymentioning

confidence: 95%

Promise of Wearable Physical Activity Monitors in Oncology Practice

Beg

Gupta

Stewart

et al. 2017

JOP

View full text Add to dashboard Cite

Commercially available physical activity monitors provide clinicians an opportunity to obtain oncology patient health measures to an unprecedented degree. These devices can provide objective and quantifiable measures of physical activity, which are not subject to errors or bias of self-reporting or shorter duration of formal testing. Prior work on so-called quantified-self data was based on older-generation, research-grade accelerometers, which laid the foundation for consumer-based physical activity monitoring devices to be validated as a feasible and reliable tool in patients with cancer. Physical activity monitors are being used in chronic conditions including chronic obstructive pulmonary disease, congestive heart failure, diabetes mellitus, and obesity. Differing demographics, compounded with higher symptom and treatment burdens in patients with cancer, imply that additional work is needed to understand the unique strengths and weaknesses of physical activity monitors in this population. Oncology programs can systematically implement these tools into their workflows in an adaptable and iterative manner. Translating large amounts of data collected from an individual physical activity monitoring device into clinically relevant information requires sophisticated data compilation and reduction. In this article, we summarize the characteristics of older- and newer-generation physical activity monitors, review the validation of physical activity monitors with respect to health-related quality-of-life assessments, and describe the current role of these devices for the practicing oncologist. We also highlight the challenges and next steps needed for physical activity monitors to provide relevant information that can change the current state of oncology practice.

show abstract

“… 3 – 5 In a study comparing physician assessments to objective measurements, 80% of patients who were assigned ECOG PS scores of 0 or 1 actually spent >50% of waking hours resting, which corresponds to a PS score of 3. 6 There is a large variation within ECOG PS categories that necessitates more detailed and discriminate assessment of physical function than what is captured.…”

Section: Assessing the Cancer Patientmentioning

confidence: 99%

Tracking steps in oncology: the time is now

Purswani¹,

Ohri²,

Champ³

2018

CMAR

View full text Add to dashboard Cite

PurposeAccurate evaluation of patients’ health status is a key component of the workup, treatment, and follow-up of cancer patients. Assessments by clinicians (eg, performance status, toxicity grade) and patients (eg, quality of life) play a critical role in current practice but have significant limitations. Technological advances now provide an opportunity to track a new class of objective measures of patient activity, such as daily step counts. Here, we describe recent efforts to incorporate this technology into the field of oncology.DesignWe conducted a structured literature search using MEDLINE electronic database to identify published observational studies of tracking steps in cancer patients and trials of exercise programs for cancer survivors incorporating pedometers until February 2016.ResultsData indicate that physical activity information may supplant existing scales for the assessment of cancer patients’ functional capacity.ConclusionObjective activity monitoring is poised to revolutionize the way health care providers assess cancer patients at the time of diagnosis, during treatment, and in the survivorship setting.

show abstract

Patients over 65 years are assigned lower ECOG PS scores than younger patients, although objectively measured physical activity is no different

Cited by 31 publications

References 31 publications

<p>A Nomogram Based on Preoperative Clinical Bio-Indicators to Predict 5-year Survivals for Patients with Gastric Cancer After Radical Gastrectomy</p>

<p>A Nomogram Based on Preoperative Clinical Bio-Indicators to Predict 5-year Survivals for Patients with Gastric Cancer After Radical Gastrectomy</p>

Promise of Wearable Physical Activity Monitors in Oncology Practice

Tracking steps in oncology: the time is now

Contact Info

Product

Resources

About