Evidence map›Paper›PMID 33112242›Full record

ArticleJMIR formative research2020

Follow-Up of Cancer Patients Receiving Anti-PD-(L)1 Therapy Using an Electronic Patient-Reported Outcomes Tool (KISS): Prospective Feasibility Cohort Study.

Sanna Iivanainen, Tuomo Alanko, Pia Vihinen, Teemu Konkola, Jussi Ekstrom, Henri Virtanen, Jussi Koivunen

Registry-linked trialAbstract read
In one paragraph

Article in JMIR formative research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03928938 (Follow-up of Cancer Patients Receiving Immune Checkpoint Inhibitor Therapy by Electronic Patient Reported Outcomes-tool), which is not on this map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03928938 nacompletednot on this map

Follow-up of Cancer Patients Receiving Immune Checkpoint Inhibitor Therapy by Electronic Patient Reported Outcomes-tool

TypeinterventionalSponsorOulu University HospitalRan2017 to 2022Enrolled43ConditionsCancerArmsElectronic patient reported outcomes
3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Exploring the role of health-related quality of life measures in predictive modelling for oncology: a systematic review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
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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

7 authors.

Sanna IivanainenDepartment of Oncology and Radiotherapy, Oulu University Hospital, Oulu, Finland.ORCID https://orcid.org/0000-0003-1075-1134
Tuomo AlankoDocrates Cancer Center, Helsinki, Finland.ORCID https://orcid.org/0000-0002-1649-9040
Pia VihinenDevelopment Unit, Hospital District of South-West Finland, Turku, Finland.ORCID https://orcid.org/0000-0003-1763-5363
Teemu KonkolaKaiku Health Oy, Helsinki, Finland.ORCID https://orcid.org/0000-0001-5832-580X
Jussi EkstromKaiku Health Oy, Helsinki, Finland.ORCID https://orcid.org/0000-0001-8644-5032
Henri VirtanenKaiku Health Oy, Helsinki, Finland.ORCID https://orcid.org/0000-0002-1744-5458
Jussi KoivunenDepartment of Oncology and Radiotherapy, Oulu University Hospital, Oulu, Finland.ORCID https://orcid.org/0000-0001-6425-1640

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmune checkpoint inhibitors (ICIs) have become a standard of care for various tumor types. Their unique spectrum of side effects demands continuous and long-lasting assessment of symptoms. Electronic patient-reported outcome (ePRO) follow-up has been shown to improve survival and quality of life of cancer patients treated with chemotherapy.

objectiveThis study aimed to investigate whether ePRO follow-up of cancer patients treated with ICIs is feasible. The study analyzed (1) the variety of patient reported symptoms, (2) etiology of alerts, (3) symptom correlations, and (4) patient compliance.

methodsIn this prospective, one-arm, multi-institutional study, we recruited adult cancer patients whose advanced cancer was treated with anti-programmed cell death protein 1 (PD)- ligand (L)1 agents in outpatient settings. The ePRO tool consisted of a weekly questionnaire evaluating the presence of typical side effects, with an algorithm assessing the severity of the symptom according to National Cancer Institute Common Terminology Criteria for Adverse Events and an urgency algorithm sending alerts to the care team. A patient experience survey was conducted monthly. The patients were followed up to 6 months or until disease progression.

resultsA total of 889 symptom questionnaires was completed by 37 patients (lung cancer, n=15; melanoma, n=9; genitourinary cancer, n=9; head and neck cancer, n=4). Patients showed good adherence to ePRO follow-up. The most common grade 1 symptoms were fatigue (28%) and itching (13%), grade 2 symptoms were loss of appetite (12%) and nausea (12%), and grade 3-4 symptoms were cough (6%) and loss of appetite (4%). The most common reasons for alerts were loss of appetite and shortness of breath. In the treatment benefit analysis, positive correlations were seen between clinical benefit and itching as well as progressive disease and chest pain.

conclusionsAccording to the results, ePRO follow-up of cancer patients receiving ICIs is feasible. ePROs capture a wide range of symptoms. Some symptoms correlate to treatment benefit, suggesting that individual prediction models could be generated.

trial registrationClinical Trials Register, NCT3928938; https://clinicaltrials.gov/ct2/show/NCT03928938.

Indexed as

anti-PD-(L)1 therapyePROimmune checkpoint inhibitorsside-effectssymptoms

Identifiers

PMID33112242
PMCPMC7657724

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Registered trials

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.