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Record W4413560610 · doi:10.1200/op-25-00087

Assessing an eHealth Intervention on Quality of Life in Patients With Chronic Lymphocytic Leukemia and Myelodysplastic Syndromes: The MyPal Randomized Controlled Trial

2025· article· en· W4413560610 on OpenAlexaboutno aff
Thomas Chatzikonstantinou, Maria Vasilopoulou, Dimitrios Kyrou, Georgios Karakatsoulis, Panagiotis Argyropaidas, Sotiria Besikli‐Dimou, Panos Bonotis, Maria Chatzimina, Jana Didi, Christos Demosthenous, Tina Garani-Papadatos, Stefan Hoffman, Christine Kakalou, Eleni Kazantzaki, Stephan Kiefer, Lefteris Koumakis, Julie Ling, Marcel Meyerheim, Cathy Payne, Christina Papangelou, Sheila Payne, Charalampos Pontikoglou, Jonathan Reston, Harriet Ryblom, Annette Sander, Fatima Schera, Karin E. Smedby, George Zacharioudakis, Anastasia Chatzidimitriou, Michael Doubek, Niki Stavroyianni, Paolo Ghia, Helen Α. Papadaki, Richard Rosenquist, Norbert Graf, Pantelis Natsiavas, Κώστας Σταματόπουλος, Christina Karamanidou

Bibliographic record

VenueJCO Oncology Practice · 2025
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineQuality of life (healthcare)Randomized controlled trialeHealthPhysical therapyIntervention (counseling)Palliative careClinical trialInternal medicineClinical endpointHealth carePsychiatryNursing

Abstract

fetched live from OpenAlex

PURPOSE The MyPal study (ClinicalTrials.gov identifier: NCT04370457 ) is a randomized controlled clinical trial assessing an eHealth intervention on the quality of life (QoL) of patients with chronic lymphocytic leukemia (CLL) and myelodysplastic syndromes (MDS). METHODS Patients who were receiving or had previously received treatment for CLL or MDS were randomly assigned (1:1) to access the MyPal digital health platform versus standard of care. The MyPal platform included a smartphone application used to report QoL status and symptoms via standardized questionnaires or spontaneous reporting. The primary end point was QoL at 12 months, assessed by the European Organisation for Research and Treatment of Cancer (EORTC) QLQ-C30 General Questionnaire and the EuroQol EQ-5D-3L. Secondary end points included physical and emotional functioning, measured by the Integrated Palliative Care Outcome Scale (IPOS) scale, satisfaction with care, measured by the EORTC PATSAT-C33, and overall survival (OS). Additionally, the Edmonton Symptom Assessment System (ESAS), Brief Pain Inventory (BPI), and Emotion Thermometers (ET) QoL questionnaires were assessed only in the intervention group. RESULTS A total of 171 patients (97 and 74 in the control and intervention arms, respectively) who answered multiple questionnaires were analyzed. The intervention group reported a significant decrease in pain (β 2 = –0.48 [–0.77 to –0.19], P < .001) compared with the control group (β 1 = 0.3 [0.09 to 0.5], P = .01). Communication and pain measured by IPOS reduced equally in both groups (β 2 = 0 [–0.03 to 0.02], P = .82; β 2 = –0.01 [–0.02 to 0], P = .1, respectively). Family involvement significantly increased over time only for the intervention group. The other items of EORTC QLQ-C30, EuroQol EQ-5D-3L, IPOS, and PATSAT-C33 remained unchanged in both groups. The intervention group displayed a significant improvement in all ESAS, BPI, and ET scales. OS was similar in both groups. CONCLUSION The MyPal intervention improved several QoL aspects and led to a statistically significant decrease in pain compared with the control group.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0100.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.424
Teacher spread0.388 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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