ePROs in the follow-up of cancer patients treated with immune checkpoint inhibitors: a retrospective study View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03

AUTHORS

Sanna Iivanainen, Tuomo Alanko, Katriina Peltola, Teemu Konkola, Jussi Ekström, Henri Virtanen, Jussi P. Koivunen

ABSTRACT

PURPOSE: Patient-reported outcome (PRO) follow-up has been shown to improve quality of life (QoL) and survival of cancer patients receiving chemotherapy. Kaiku Health application is a web-based electronic PRO (ePRO) tool which is designed for follow-up of cancer patients receiving immune checkpoint inhibitors (ICI). Purpose of the current study is to investigate whether symptoms collected by Kaiku Health ePRO tool on cancer patients receiving immune checkpoint inhibitors (ICI) follows to symptoms reported in clinical trials and whether coupling of specific symptoms does occur. METHODS: We retrospectively collected data on symptom timing and severity, and QoL of patients followed with Kaiku Health IO module in two Finnish cancer centers between 2017 and 2018. Kaiku Health IO module consists of 18 adaptive questions, which assess the presence and severity of symptoms. Patients were requested (via e-mail) to fill online symptom questionnaires with 3-7 day interval and QoL questionnaires (QLQ-C30) with 1-2 month interval. RESULTS: The IO module was used to follow 37 patients who had filled in total 559 symptom questionnaires. There was good adherence to ePRO follow-up with a median of 11 questionnaires filled per patient. The reported symptoms and their severity follow closely what has been seen in clinical trials investigating ICIs. Correlation analysis of the symptoms showed the strongest positive correlations between itching and rash; nausea and vomiting, decreased appetite, or stomach pain; cough and shortness of breath. CONCLUSIONS: The results of the current study suggest that real-world symptom data collected through the ePRO application on cancer patients receiving ICI therapy aligns with the data from clinical trials. Correlations between different symptoms occur, which might reflect therapeutic efficiency, side effects, or tumor progression. These correlations should be further investigated with data coupled to clinical outcomes. More... »

PAGES

765-774

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00432-018-02835-6

DOI

http://dx.doi.org/10.1007/s00432-018-02835-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111577142

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30666409


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Download the RDF metadata as:  json-ld nt turtle xml License info

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Turtle is a human-readable linked data format.

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RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00432-018-02835-6'


 

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