FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4379280652> ?p ?o ?g. }

• W4379280652 endingPage "e18804" @default.
• W4379280652 startingPage "e18804" @default.
• W4379280652 abstract "e18804 Background: Step count, as measured by a wearable accelerometer, has been shown to have a relationship to premature death, cardiovascular events, functional decline, longer stay, and higher rehospitalization rates. However, few cancer studies or trials have incorporated accelerometers to measure response to active treatment. We developed the DigiBioMarC™ smartphone application for cancer patients to enable participation in decentralized clinical trials and remote cancer care by collecting informed consent, ePROs and accelerometer data using an Apple Watch. This analysis assessed whether daily step data were associated with participants clinical events. Methods: We tested the feasibility of the DigiBioMarC application along with the Apple Watch for approximately 4 weeks with 50 cancer patients undergoing IV chemotherapy or immunotherapy recruited in a fully decentralized study through Kaiser Permanente Northern California. Participants used the app for at least 28 days and were provided with an Apple Watch if they did not already have one. Data pre-processing was performed to identify periods of missing data and non-wear time. Step count was calculated for each calendar day and days that included at least ten hours of wear time while awake were considered sufficient and included in the analysis. Specific clinical events were collected from the patients’ electronic health records (EHR) up to six months following the study. Results: Thirteen participants experienced at least one clinical event, and there were 5 deaths. Using Cox regression, patients with more sufficient days were less likely to die during follow up (p = 0.122) than patients with fewer sufficient days. On sufficient days, median daily steps < = 2,510 were associated with one or more adverse clinical events, while daily steps > 2,510 were associated with no clinical events and had a longer time to adverse clinical event (p = 0.068) compared to those with less than or equal to 2,510 median daily steps on sufficient days. Daily median step count on sufficient days predicted clinical event occurrence with an accuracy of 0.833. Conclusions: Findings from this feasibility study support the hypothesis that daily stepping behavior is a valid real-world digital measure to predict clinical events in patients undergoing cancer treatment. Although the predictive models did not reach statistical significance (p < 0.05), this is likely due to the low frequency of clinical events in the dataset. These findings indicate that future investigations with larger sample sizes are warranted as this may be a beneficial tool for decentralized trials or care when patients have longer periods of time between clinical visits. In patients undergoing cancer treatment, real-world based step data extracted from wearables can provide early indication of poor or declining health." @default.
• W4379280652 created "2023-06-05" @default.
• W4379280652 creator A5001159304 @default.
• W4379280652 creator A5002289512 @default.
• W4379280652 creator A5005820008 @default.
• W4379280652 creator A5006826428 @default.
• W4379280652 creator A5014507062 @default.
• W4379280652 creator A5022425798 @default.
• W4379280652 creator A5023541244 @default.
• W4379280652 creator A5033429378 @default.
• W4379280652 creator A5092083124 @default.
• W4379280652 date "2023-06-01" @default.
• W4379280652 modified "2023-09-25" @default.
• W4379280652 title "Correlation between step count and clinical outcomes for patients with cancer during treatment: A feasibility study." @default.
• W4379280652 doi "https://doi.org/10.1200/jco.2023.41.16_suppl.e18804" @default.
• W4379280652 hasPublicationYear "2023" @default.
• W4379280652 type Work @default.
• W4379280652 citedByCount "0" @default.
• W4379280652 crossrefType "journal-article" @default.
• W4379280652 hasAuthorship W4379280652A5001159304 @default.
• W4379280652 hasAuthorship W4379280652A5002289512 @default.
• W4379280652 hasAuthorship W4379280652A5005820008 @default.
• W4379280652 hasAuthorship W4379280652A5006826428 @default.
• W4379280652 hasAuthorship W4379280652A5014507062 @default.
• W4379280652 hasAuthorship W4379280652A5022425798 @default.
• W4379280652 hasAuthorship W4379280652A5023541244 @default.
• W4379280652 hasAuthorship W4379280652A5033429378 @default.
• W4379280652 hasAuthorship W4379280652A5092083124 @default.
• W4379280652 hasConcept C121608353 @default.
• W4379280652 hasConcept C126322002 @default.
• W4379280652 hasConcept C1862650 @default.
• W4379280652 hasConcept C195910791 @default.
• W4379280652 hasConcept C50382708 @default.
• W4379280652 hasConcept C535046627 @default.
• W4379280652 hasConcept C71924100 @default.
• W4379280652 hasConceptScore W4379280652C121608353 @default.
• W4379280652 hasConceptScore W4379280652C126322002 @default.
• W4379280652 hasConceptScore W4379280652C1862650 @default.
• W4379280652 hasConceptScore W4379280652C195910791 @default.
• W4379280652 hasConceptScore W4379280652C50382708 @default.
• W4379280652 hasConceptScore W4379280652C535046627 @default.
• W4379280652 hasConceptScore W4379280652C71924100 @default.
• W4379280652 hasFunder F4320332161 @default.
• W4379280652 hasIssue "16_suppl" @default.
• W4379280652 hasLocation W43792806521 @default.
• W4379280652 hasOpenAccess W4379280652 @default.
• W4379280652 hasPrimaryLocation W43792806521 @default.
• W4379280652 hasRelatedWork W2075770537 @default.
• W4379280652 hasRelatedWork W2127090176 @default.
• W4379280652 hasRelatedWork W2136015758 @default.
• W4379280652 hasRelatedWork W2365364931 @default.
• W4379280652 hasRelatedWork W2394411987 @default.
• W4379280652 hasRelatedWork W2418638721 @default.
• W4379280652 hasRelatedWork W2765324034 @default.
• W4379280652 hasRelatedWork W4226370902 @default.
• W4379280652 hasRelatedWork W4280612490 @default.
• W4379280652 hasRelatedWork W1909278487 @default.
• W4379280652 hasVolume "41" @default.
• W4379280652 isParatext "false" @default.
• W4379280652 isRetracted "false" @default.
• W4379280652 workType "article" @default.