Evidence map›Paper›PMID 34636732›Full record

ArticleJMIR cancer2021

Measuring the Time to Deterioration for Health-Related Quality of Life in Patients With Metastatic Breast Cancer Using a Web-Based Monitoring Application: Longitudinal Cohort Study.

Katharina Brusniak, Manuel Feisst, Linda Sebesteny, Andreas Hartkopf, Joachim Graf, Tobias Engler, Andreas Schneeweiss, Markus Wallwiener, Thomas Maximilian Deutsch

Open access · goldAbstract read
In one paragraph

Article in JMIR cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 24% of its field
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.

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

6 citing papers in PubMed, 15 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Katharina BrusniakDepartment of Gynecology and Obstetrics, University Hospital Heidelberg, Heidelberg, Germany.ORCID https://orcid.org/0000-0003-2005-9432
Manuel FeisstInstitute of Medical Biometry and Informatics, University of Heidelberg, Heidelberg, Germany.ORCID https://orcid.org/0000-0002-5016-9731
Linda SebestenyDepartment of Gynecology and Obstetrics, University Hospital Heidelberg, Heidelberg, Germany.ORCID https://orcid.org/0000-0001-9589-346X
Andreas HartkopfDepartment of Women's Health, University Hospital Tübingen, Tübingen, Germany.ORCID https://orcid.org/0000-0003-1227-1118
Joachim GrafDepartment of Women's Health, University Hospital Tübingen, Tübingen, Germany.ORCID https://orcid.org/0000-0003-2208-0446
Tobias EnglerDepartment of Women's Health, University Hospital Tübingen, Tübingen, Germany.ORCID https://orcid.org/0000-0002-8063-2053
Andreas SchneeweissDepartment of Medical Oncology, National Center for Tumor Diseases, Heidelberg, Germany.ORCID https://orcid.org/0000-0002-2429-4512
Markus WallwienerDepartment of Gynecology and Obstetrics, University Hospital Heidelberg, Heidelberg, Germany.ORCID https://orcid.org/0000-0002-4139-9340
Thomas Maximilian DeutschDepartment of Gynecology and Obstetrics, University Hospital Heidelberg, Heidelberg, Germany.ORCID https://orcid.org/0000-0003-0621-1290
Heidelberg University · DEUniversity Children's Hospital Tübingen · DEGerman Cancer Research Center · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth-related quality of life (HRQoL) is used to evaluate the treatment of metastatic breast cancer. In a long-term therapy setting, HRQoL can be used as an important benchmark for treatment success. With the help of digital apps, HRQoL monitoring can be extended to more remote areas and be administered on a more frequent basis.

objectiveThis study aims to evaluate 3 common HRQoL questionnaires in metastasized breast cancer in terms of TTD in a digital, web-based setting. We further aim to examine the development of the HRQoL in different systemic treatment groups in each of these evaluation instruments.

methodsA total of 192 patients with metastatic breast cancer were analyzed in this bicentric prospective online cohort study at two German university hospitals. Patients completed questionnaires on HRQoL (EuroQol Visual Analog Scale [EQ-VAS], EuroQol 5 Dimension 5 Level [EQ-5D-5L], European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30 item [EORTC QLQ-C30]) via an online platform over a 6-month period. Treatment schedules and medical history were retrieved from medical records. Unadjusted Cox regression analysis on treatment-related factors was performed. We conducted subgroup analyses in regard to TTD events between different treatments.

resultsThe EQ-VAS showed a higher rate of deterioration after 8 weeks (84/179, 46.9%) than the EQ-5D-5L (47/163, 28.8%) and EORTC QLQ-C30 (65/176, 36.9%). Unadjusted Cox regression revealed significant connections between known metastases in the liver (P=.03, HR 1.64, 95% CI 1.06-2.52) and pleura (P=.04, HR 0.42, 95% CI 0.18-0.96) in the EQ-VAS. Significant relations between EQ-VAS events and single EQ-5D-5L items and the EQ-5D-5L summary score were demonstrated. All treatment groups significantly differed from the CDK4/6 inhibition subgroup in the EQ-VAS.

conclusionsCompared to the EQ-5D-5L and QLQ-C30, the EQ-VAS showed a higher rate of deterioration after 8 weeks. Significant connections to certain metastatic locations were only detected in the EQ-VAS. The EQ-VAS is capable of reflecting the distinctive HRQoL profiles of different systemic treatments as well as the different aspects of HRQoL presented in the EQ-5D-5L. TTD with the EQ-VAS is an adequate mean of examining longitudinal development of HRQoL among breast cancer patients.

Indexed as

breast cancereHealthEORTC QLQ-C30EQ-5D-5LEQ-VAShealth-related quality of lifequality of lifetime to deterioration

Identifiers

PMID34636732
PMCPMC8548964
OpenAlexW3205281125

What OpenQuestion holds

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Registered trials

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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.