Evidence map›Paper›PMID 35279907›Full record

ArticleCancer science2022

Feasibility study on collecting patient-reported outcomes from breast cancer patients using the LINE-ePRO system.

Tetsu Hayashida, Aiko Nagayama, Tomoko Seki, Maiko Takahashi, Akiko Matsumoto, Anna Kubota, Hiromitsu Jinno, Hiroaki Miyata, Yuko Kitagawa

Abstract read
In one paragraph

Article in Cancer science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Tetsu HayashidaDepartment of Surgery, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-1657-803X
Aiko NagayamaDepartment of Surgery, Keio University School of Medicine, Tokyo, Japan.
Tomoko SekiDepartment of Surgery, Keio University School of Medicine, Tokyo, Japan.
Maiko TakahashiDepartment of Surgery, Keio University School of Medicine, Tokyo, Japan.
Akiko MatsumotoDepartment of Surgery, Teikyo University School of Medicine, Tokyo, Japan.
Anna KubotaDepartment of Health Policy and Management, Keio University School of Medicine, Tokyo, Japan.
Hiromitsu JinnoDepartment of Surgery, Teikyo University School of Medicine, Tokyo, Japan.
Hiroaki MiyataDepartment of Health Policy and Management, Keio University School of Medicine, Tokyo, Japan.
Yuko KitagawaDepartment of Surgery, Keio University School of Medicine, Tokyo, Japan.

Funding

Cross-ministerial Strategic Innovation Promotion ProgramJapan Society for the Promotion of Science 19K09082SHIONOGI IncSHIONOGI Inc.
6 · The paper itself

Abstract

Due to the increasing complexity of cancer treatment, ensuring safety and maintaining the quality of life during treatment are important issues. Patient-reported outcomes (PROs) in oncology are essential for assessing patient symptoms. A feasibility study was undertaken on breast cancer patients by building a PRO data collection system based on LINE, one of the most popular social network service applications in Japan. In this study, one or more predefined PRO questions for each breast cancer patient's clinical situation were sent to the patient's LINE application daily. The patient selected a predefined answer by tapping the screen, but no free-text answers were allowed. Seventy-three patients were enrolled. The median observation period was 435 days (84-656 days), and the total number of PROs collected was 16,417, with a mean of 224.9 reports per patient. Patients on adjuvant endocrine therapy were notified of 2.5 questions per week, and the median number of responses per week and response rate were 2.387 (1.687-11.627) and 95.5%, respectively. Analyzing the results by age group, the number of responses from those aged 60 and above was equal to or higher than that of the younger age group. It was also possible to track each patient's PROs accurately. These results suggested that the design of the system, based on an application used daily, instead of using specifically prepared applications for collecting electronic PROs, was the reason for the favorable acceptance from patients and the satisfactory response rate from all age groups, including the elderly.

Indexed as

Breast NeoplasmsQuality of LifeAgedFeasibility StudiesFemaleHumansPatient Reported Outcome MeasuresSoftwarebreast cancerelectronic patient-reported outcomepatient-reported outcome

Identifiers

PMID35279907
PMCPMC9128183

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.