Moving away from chemotherapy in newly diagnosed Philadelphia chromosome‐positive B‐cell acute lymphoblastic leukaemia

Haddad, Fady G.; Kourié, Hampig Raphaël; Saleh, Khalil

doi:10.1111/bjh.19012

Cited by 4 publications

(1 citation statement)

References 12 publications

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“…There is well documented evidence that age and performance score alone are not good predictors of frailty, and may not identify all patients at risk of adverse outcomes 4–9 . Several scores for assessing frailty have been developed and investigated in different branches of medicine 7–27 . Ferrara et al proposed definitions for lack of fitness for both intensive and non‐intensive chemotherapy 28 .…”

Section: Introductionmentioning

confidence: 99%

The Haemato‐Oncology Frailty (HOF) score to assess frailty in lymphoma

Ramdany,

Lofaro,

Deplano

2023

European J of Haematology

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Morbidity and mortality during chemotherapy in older adults with haematological malignancy can be unpredictable. The Haemato‐Oncology Frailty (HOF) score was previously found to predict outcomes in a cohort of patients with plasma cell myeloma. In this study, we assess its utility in assessing frailty in patients with lymphoma, and compare its performance to that of two other frailty scores. The HOF score was able to predict progression‐free survival in this population, and was also shown to have potential in assessing the dynamism of frailty during chemotherapy. It performed well when compared to the Charlson Comorbidity Index (CCI) score and the Haematopoietic Cell Transplantation‐Specific Comorbidity Index (HCTCI), although the study was not powered to assess for non‐inferiority. The HOF score is a new score with the potential for application in different haematological malignancies.

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Section: Introductionmentioning

confidence: 99%

The Haemato‐Oncology Frailty (HOF) score to assess frailty in lymphoma

Ramdany,

Lofaro,

Deplano

2023

European J of Haematology

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Effectiveness of mHealth App–Based Interventions for Increasing Physical Activity and Improving Physical Fitness in Children and Adolescents: Systematic Review and Meta-Analysis

Wang,

Zhu,

Shuling

et al. 2024

JMIR Mhealth Uhealth

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Background The COVID-19 pandemic has significantly reduced physical activity (PA) levels and increased sedentary behavior (SB), which can lead to worsening physical fitness (PF). Children and adolescents may benefit from mobile health (mHealth) apps to increase PA and improve PF. However, the effectiveness of mHealth app–based interventions and potential moderators in this population are not yet fully understood. Objective This study aims to review and analyze the effectiveness of mHealth app–based interventions in promoting PA and improving PF and identify potential moderators of the efficacy of mHealth app–based interventions in children and adolescents. Methods We searched for randomized controlled trials (RCTs) published in the PubMed, Web of Science, EBSCO, and Cochrane Library databases until December 25, 2023, to conduct this meta-analysis. We included articles with intervention groups that investigated the effects of mHealth-based apps on PA and PF among children and adolescents. Due to high heterogeneity, a meta-analysis was conducted using a random effects model. The Cochrane Risk of Bias Assessment Tool was used to evaluate the risk of bias. Subgroup analysis and meta-regression analyses were performed to identify potential influences impacting effect sizes. Results We included 28 RCTs with a total of 5643 participants. In general, the risk of bias of included studies was low. Our findings showed that mHealth app–based interventions significantly increased total PA (TPA; standardized mean difference [SMD] 0.29, 95% CI 0.13-0.45; P<.001), reduced SB (SMD –0.97, 95% CI –1.67 to –0.28; P=.006) and BMI (weighted mean difference –0.31 kg/m2, 95% CI –0.60 to –0.01 kg/m2; P=.12), and improved muscle strength (SMD 1.97, 95% CI 0.09-3.86; P=.04) and agility (SMD –0.35, 95% CI –0.61 to –0.10; P=.006). However, mHealth app–based interventions insignificantly affected moderate to vigorous PA (MVPA; SMD 0.11, 95% CI –0.04 to 0.25; P<.001), waist circumference (weighted mean difference 0.38 cm, 95% CI –1.28 to 2.04 cm; P=.65), muscular power (SMD 0.01, 95% CI –0.08 to 0.10; P=.81), cardiorespiratory fitness (SMD –0.20, 95% CI –0.45 to 0.05; P=.11), muscular endurance (SMD 0.47, 95% CI –0.08 to 1.02; P=.10), and flexibility (SMD 0.09, 95% CI –0.23 to 0.41; P=.58). Subgroup analyses and meta-regression showed that intervention duration was associated with TPA and MVPA, and age and types of intervention was associated with BMI. Conclusions Our meta-analysis suggests that mHealth app–based interventions may yield small-to-large beneficial effects on TPA, SB, BMI, agility, and muscle strength in children and adolescents. Furthermore, age and intervention duration may correlate with the higher effectiveness of mHealth app–based interventions. However, due to the limited number and quality of included studies, the aforementioned conclusions require validation through additional high-quality research. Trial Registration PROSPERO CRD42023426532; https://tinyurl.com/25jm4kmf

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Effectiveness of mHealth App–Based Interventions for Increasing Physical Activity and Improving Physical Fitness in Children and Adolescents: Systematic Review and Meta-Analysis (Preprint)

Wang,

Zhu,

Shuling

et al. 2023

Preprint

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BACKGROUND Background: The COVID-19 pandemic has significantly reduced physical activity (PA) levels and increased sedentary behavior (SB), which can lead to worsening physical fitness (PF). Children and adolescents may benefit from mobile health apps (mHealth apps) to increase PA and improve PF. However, the effectiveness of mHealth app-based interventions and potential moderators in this population are not yet fully understood. OBJECTIVE Objectives: This study aims to review and analyze the effectiveness of mHealth app-based interventions in promoting PA and improving PF, and identify potential moderators of efficacy of mHealth app-based interventions in children and adolescents. METHODS Methods: We searched for articles published in the PubMed, Web of Science, EBSCO, and Cochrane Library databases until October 25, 2022 to conduct this meta-analysis. Subgroup analysis was performed to identify potential influences that impact effect sizes. RESULTS Results: We included 15 randomized controlled trials with a total of 2476 participants. Our findings showed that mHealth app-based interventions significantly increased total PA (TPA) (standardized mean difference [SMD] 0.24, 95% confidence interval [CI] 0.01–0.48, P=0.04), reduced body mass index (BMI) (weighted mean difference [WMD] −0.39, 95% CI −0.67 to −0.10, P=0.0009), and improved muscle strength (WMD 2.86, 95% CI 1.57 to 4.16, P=0.0001) in children and adolescents. However, mHealth app-based interventions insignificantly affected SB (SMD −0.18, 95% CI −0.38 to 0.02, P=0.09), moderate-to-vigorous PA (MVPA) (WMD 0.11, 95% CI −0.69 to 0.90, P=0.79), waist circumference (WMD −0.16, 95% CI −2.66 to 2.99, P=0.91), and cardiorespiratory fitness (WMD −0.14, 95% CI −0.50 to 0.23, P=0.46). Subgroup analyses indicated that mHealth app interventions based on social cognitive theory (SCT) with 7 behavior change technique (BCT) clusters could produce higher effect sizes for TPA; mHealth app interventions based on age 13～18 years old, research apps, a combination of SCT and self-determination theory, 7 BCT clusters, and intervention duration of 20～24 weeks revealed higher effect sizes for SB; and mHealth app interventions based on age 3～6 years old, research apps, SCT, 7 BCT clusters, and intervention duration of 12 weeks revealed higher effect sizes for BMI. CONCLUSIONS Conclusions: Our meta-analysis suggests that mHealth app-based interventions may have beneficial effects on TPA, BMI, and muscle strength but not on SB, MVPA, waist circumference, and cardiorespiratory fitness in children and adolescents. Moderating effects, including theoretical paradigm and BCT clusters, were significantly related to higher effectiveness of mHealth app-based interventions on TPA. Similarly, moderating effects, including age, theoretical paradigm, BCT clusters, types of apps, and intervention duration, were significantly related to higher effectiveness of mHealth app-based interventions on SB and BMI but not on MVPA. However, the small sample size and high heterogeneity of the included literature still necessitate further studies to validate our findings. CLINICALTRIAL Trial Registration: PROSPERO CRD42023426532

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Moving away from chemotherapy in newly diagnosed Philadelphia chromosome‐positive B‐cell acute lymphoblastic leukaemia

Cited by 4 publications

References 12 publications

The Haemato‐Oncology Frailty (HOF) score to assess frailty in lymphoma

The Haemato‐Oncology Frailty (HOF) score to assess frailty in lymphoma

Effectiveness of mHealth App–Based Interventions for Increasing Physical Activity and Improving Physical Fitness in Children and Adolescents: Systematic Review and Meta-Analysis

Effectiveness of mHealth App–Based Interventions for Increasing Physical Activity and Improving Physical Fitness in Children and Adolescents: Systematic Review and Meta-Analysis (Preprint)

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