Keywords
Breast Neoplasms; Genital Neoplasms, Dietitian; Survivorship; Nutrition Assessment; Body Composition; Patient Reported Outcome Measures; Telemedicine
To align with the EU Beating Cancer Plan, feasible and innovative solutions that monitor specific needs of cancer survivors, improve quality of life and long-term disease-free survival need to be investigated. The Linking You to Support and Advice (LYSA) Trial was a multisite, randomized feasibility trial, co-designed with public and patient involvement. Eligible participants had early-stage hormone receptor (HR)-positive breast or gynaecologic cancer, completed primary curative treatment within 12 months and had internet access (NCT05035173). The 12-month intervention involved a dietitian and nurse-led clinic targeting symptom management. Detailed protocols targeted towards dietetic services and interventions are limited in this cohort. The dietetic component of the LYSA Trial aims to evaluate the impact of using electronic patient reported outcomes (ePROs) on diet quality and body composition in HR-positive breast and gynaecologic cancer survivors. Over 12 months, changes in dietary intake, nutritional risk, body weight, lean tissue mass, adipose tissue mass and muscle strength will be assessed.
Comprehensive anthropometric and nutritional assessments were conducted at baseline and 12 months for both study arms. These included body composition through bioelectrical impedance analysis and World Cancer Research Fund/American Institute for Cancer Research (WCRF/AICR) diet quality score. Participants in the experimental arm completed ePROs every 2 months for one year, assessing malnutrition risk, physical activity and weight gain concerns. A trigger-initiated nutritional management pathway, delivered via a telehealth platform was developed for worsening or severe individualised symptoms.
This protocol outlines the implementation of a dietetic cancer survivorship clinic, within a randomised control trial. The use of ePROs and digital technologies offers viable and innovative solutions to monitor the nutrition-specific needs of cancer survivors. Findings will inform the development of future dietetic survivorship services.
ClinicalTrials.gov , NCT05035173 . Retrospectively registered on September 5, 2021. Registered on OSF: doi:10.17605/OSF.IO/JM7FX.
Breast Neoplasms; Genital Neoplasms, Dietitian; Survivorship; Nutrition Assessment; Body Composition; Patient Reported Outcome Measures; Telemedicine
Breast cancer is reported to make up 30% of all invasive cancer incidences in Ireland, with the 5-year observed survival being 78%1. The 5-year observed survival in cervix cancer is 63% and uterus cancer is 71%1. Advances in treatment and early detection have seen improvements in 5-year net survival, however this has also seen the insufficient, uncoordinated management of late and long-term effects of treatment1,2. These effects encompass a wide range of symptoms, including physiological, psychological, cognitive, social, sexual, and nutritional challenges3. They may be equal or more disabling than a cancer diagnosis and its treatment and can significantly affect quality of life4. Furthermore, an individual’s transition from “active patient” to “survivor” is often challenging and associated with lifestyle and behavioural changes, including those related to diet and nutrition5–7. In Ireland, cancer survivorship is regarded as a distinct and important phase of the cancer journey and a priority in the National Cancer Strategy (2017–2026) and it is broadly accepted that a cancer survivor is defined as a person “living with and beyond cancer”, from the point of diagnosis and continuing until the end of life8.
Chemotherapy receipt, menopausal status and adjuvant endocrine therapy are all proposed to be major contributors to alterations in body compositions throughout the cancer journey7,9–14. Furthermore, these factors play a key role in the treatment of gynaecologic cancers15,16. The use of an adjuvant endocrine therapy, such as a selective oestrogen receptor modulator (SERM) or an aromatase inhibitor (AI) can reduce the risk of breast cancer recurrence by 30–50% after 5 years of therapy and improve disease free survival14,17. These adjuvant endocrine therapies are associated with side effects that impact quality of life, physical activity, sleep and mood, as well as accelerating menopausal status and symptoms4,18. Whilst the impact of chemotherapy and radiotherapy on body composition has been well documented, literature around the impact of adjuvant endocrine therapy is limited in comparison. Body composition alterations include decreasing lean tissue mass and increasing adipose tissue mass, with Aleixo et al. identifying sarcopenia and obesity as important risk factors for adjuvant endocrine therapy toxicity and intolerance19. Furthermore, sarcopenia has been identified as an independent factor in disease-free-survival and overall survival17. Weight gain after breast cancer is reported in up to 90% of patients14. It is widely reported that breast cancer survivors, those with Grade 2 or 3 obesity (defined as Body Mass Index [BMI] >35) have a worse survival compared to those with normal weight. There are inconsistent conclusions for the association of Grade 1 obesity (defined as BMI > 25) with survival outcomes19.
Changes in body composition and dietary quality in breast and gynaecologic cancer survivors are due to a myriad of complex factors including genetic predisposition, socio-demographic factors, menopausal status, hormone-receptor status, clinical presentation and treatment modality. There is well documented evidence that body composition parameters, including lean tissue mass and adipose tissue, are suggested to be predictors of survival. In light of this, the National Comprehensive Cancer Network’s Survivorship Guidelines recommend that a multi-disciplinary approach is used and that providers should be competent advising survivors how to achieve an optimal body composition, including low overall body fat and higher amounts of muscle mass20. Adjuvant therapies, including endocrine therapies, have significantly improved survival rates in female cancers, but also lead to a range of short- and long-term nutritional risks. These nutritional risks extend beyond those traditionally associated with cancer treatment, including increased risk of bone disease, cardiovascular disease, obesity and metabolic disturbances secondary to their treatment21–24. These are further compounded by treatment induced menopause25. The unique nutritional challenges faced by this cohort highlights the need for targeted dietetic care post-treatment to enhance long-term survival support chronic disease risk reduction and improve quality of life.
Despite this need, the implementation of high-quality dietetic outpatient survivorship care can be hindered by personnel shortages, access to the multidisciplinary team and travel barriers26. A growing body of evidence supports the use of electronic and remote means as a supplement to usual care to aid the management of physical side effects, psycho-social effects, health promotion and disease prevention in post treatment care for cancer survivors26. Digital solutions offer a promising approach to delivering holistic, patient-centered care, particularly in rural areas27. Virtual consultations extend the reach of dietitians, reduce the burden of and need for in person visits and enhance patient engagement. The use of patient reported outcomes (PROs) allows healthcare professionals to monitor specific symptoms in real time and provide intervention in an efficient and timely manner. Dietetic interventions for cancer survivors are highly accepted5,28,29 and have been shown to be feasible across a range of delivery modalities30–40. In particular, telephone consultations have shown to be feasible and effective in oncology weight management research30,32,34,38.
Despite growing recognition of the acceptability and feasibility of dietetic care in the post-treatment phase, there are currently no dedicated dietetic survivorship services embedded within the Irish healthcare system. This represents a critical gap, particularly given the well-documented nutritional challenges faced by cancer survivors, including changes in body composition, persistent treatment-related side effects, and increased risk of comorbidities. Although the LYSA Trial’s protocol paper has been published, it provides only a high-level summary of the dietetic intervention, offering limited insight into the practicalities of its implementation or the rationale behind its design41. The dietetic component of the LYSA intervention is both novel and complex, incorporating trigger-initiated follow-up, electronic patient-reported outcomes (ePROs), and a hybrid model of in-person and remote delivery. These elements reflect an innovative, patient-centred approach tailored to the real-world constraints of outpatient oncology care. Given the increasing emphasis on scalable and resource-efficient survivorship models, a dedicated protocol paper is warranted to describe the development, structure, and operationalisation of this intervention in detail.
This manuscript therefore aims to expand on the LYSA Trial’s primary protocol and address this gap by outlining the design, delivery, and rationale of a dietetic survivorship clinic tailored for breast and gynaecologic cancer survivors in an Irish outpatient oncology setting. In doing so, it offers a replicable model for integrating structured nutritional care into cancer survivorship services, with potential relevance both nationally and internationally as healthcare systems seek to optimise post-treatment support.
The LYSA trial is an multi-centre randomized control trial (RCT) with an active comparator and experimental arm. LYSA assesses the feasibility of introducing a complex intervention incorporating a nurse-led and dietitian-led cancer survivorship clinic, symptom management through ePROs (Figure 1)42.
The aims of the dietetic aspect of this survivorship clinic in HR-positive breast and gynaecologic cancer survivors enrolled in the LSYA Trial are:
- Assess the feasibility of delivering a dietetic survivorship clinic using ePROs in an Irish medical oncology outpatient setting.
- Evaluate changes in dietary intake and diet quality over a 12-month period in the experimental arm compared to usual care.
- Evaluate changes in body composition and related outcomes including body weight, lean tissue mass, adipose tissue mass, muscle strength, nutritional risk and weight gain concern over a 12-month period in the experimental arm compared to usual care.
The trial was conducted in accordance with the Declaration of Helsinki, the application sections of the ICH E6 Good Clinical Practices and the terms of approval of the responsible research ethics committee across two Irish cancer centres [CREC Cork Teaching Hospitals ECM 3 08/12/2020; CREC Galway University Hospitals 121/21]. The trial is registered with ClinicalTrials.gov [NCT05035173].
Women (assigned female sex at birth) with early-stage hormone-receptor positive breast or gynaecologic cancer who had completed primary curative therapy within the past 12 months were eligible to participate in the study. A detailed inclusion and exclusion criteria are outlined in the LYSA Primary Protocol41. Written informed consent was obtained from eligible participants by the research nurse in person at the regional cancer centre or via video call.
The sample size was based on the recruitment of the largest possible sample given the numbers of potentially eligible patients during the time frame of the study and funding availability to facilitate the feasibility and pilot efficacy objectives: n=20041. The first participant was recruited on 24th March 2021. Randomisation was conducted by the study’s principal statistician via an electronic data capture platform, (Castor Electronic Data Capture [EDC]). Randomisation was stratified by cancer diagnosis in a 1:1 ratio for breast cancer, cervical cancer and endometrial cancer using a computer-generated randomisation list using randomly sized blocks of size 4, 6, or 8. Research team members were not blinded to participants’ group allocation due to the intervention’s nature.
The dietetic data for both arms was collected by the clinical research dietitians at two sites on approved case report forms (CRFs). All data was entered into Castor EDC, designed specifically for the LYSA trial. The Castor EDC meets international guidelines with respect to data protection standards. The study data was assessed for incompatible, discrepant, or clinically implausible values. Any concerning data was reconciled against the original source data. Following the completion of data “cleaning”, the Castor EDC Database was locked. The source data, including dietetic CRFs, was filed in the participants’ medical notes as per hospital guidelines at the point of study completion.
Baseline and 12-Month Assessments:
The measurements tools used at baseline (T0) and 12-month (T12) survivorship clinics were the same for both arms as described in Table 1. The experimental arm was informed of their body composition and handgrip strength measurements as part of the intervention.
At or prior to the baseline (T0) clinic, the research nurse at each site sent the initial electronic survey to the participant’s designated email addresses via Castor EDC. This electronic survey aimed to evaluate various factors including body weight (kg), height (cm), Malnutrition Screening Tool score (MST)43, weight gain concern, and physical activity status, utilising the Nordic Physical Activity Questionnaire-short44. Upon survey completion, then attended the LYSA Survivorship Clinic in an outpatient regional cancer centre. Consultations were guided by survey results. Participants were assigned 60 minutes with the dietitian and 60 minutes with the nurse, reaching a maximum of five participants at each clinic site per week. The clinics included a mixture of participants at both baseline (T0) and 12 months (T12).
The dietitian completed the following anthropometric measurements and nutritional assessments during the baseline and 12-month outpatient appointments:
Body Mass Index: BMI was calculated by the participant’s weight in kg to the nearest 0.1kg, using the SECA Model 799 weighing scales, and their height in metres to the 0.01m, using SECA 206 stadiometer.
Waist Circumference: Waist circumference was measured to the nearest 0.1cm following the WHO STEPS Manual45. The measurement was conducted three times, and the mean value was used.
Body Composition: Body composition was measured via bioelectrical impedance analysis (BIA) using the Fresenius Kabi Body Composition Monitor (BCM, Fresenius Medical Care, Bad Homburg, Germany). Measurements included lean tissue mass, lean tissue index, adipose tissue mass, fat tissue index, total body water, body cell mass, extracellular water and intracellular water. Participants who had pacemakers, implanted electronic devices or were pregnant were excluded from this measurement. The quality value for each measurement aimed to be > 85.
Handgrip Strength: Handgrip strength was measured using Jamar dynamometer (Jamar Hydraulic Hand Dynamometer, Model 091011725, Sammons Preston Roylan, Nottinghamshire, UK), using the second handle position as recommended by the American Society of Hand Therapists. The measurement was taken three times on each hand, alternating each measurement to allow a break. The average of three measurements was taken.
Multiple 24-Hour Dietary Recall: Two 24-hour dietary recalls were conducted using a weekday and weekend-day to allow accurate energy intake46. The multiple pass method was used to standardised the 24 hour recall47. The dietary recall was entered by the research dietitian into Nutritics software, for nutritional analysis.
Food Frequency Questionnaire: The EPIC NORFOLK FFQ was used (version CAMB/PQ/6/1205) to allow a comprehensive overview of each participant’s dietary habits over the course of one year48. The participant’s completed the FFQ between their first baseline clinic visit and their follow up virtual clinic visit at T0 (Figure 2). Participants verbally reported their FFQ answers to the dietitian, who then entered them into a FETA template for nutritional analysis. Following their 12-month visit, participants returned the FFQ by post using a stamped and labelled envelope provided by the research dietitian.
24HR: 24-hour; BIA: Bioelectrical Impedance Analysis; BMI: Body Mass Index; FFQ: Food Frequency Questionnaire; LYSA: Linking You to Support and Advice; MST: Malnutrition Screening Tool; PCN: Personalised Nutritional Counselling; RD: Registered Dietitian; WCRF/AICR: World Cancer Research Fund/American Institute for Cancer Research; WGC: Weight Gain Concern.
Diet Quality: Diet quality is assessed using the WCRF/AICR standardized scoring system. The score includes 8 of the 10 Cancer Prevention Recommendations49,50. The score specifically investigates BMI; waist circumference; physical activity status; intake of fruit, vegetables and fibre, percentage of total kilocalories from ultra-processed foods (UPFs), red and processed meat, sugar sweetened beverages and alcohol; and breast-feeding history50,51. Each recommendation is scored as 1 (meeting recommendation), 0.5 (partially meeting recommendation) or 0 (not meeting recommendation) points49–51. The scores range from 0 to 8 points, with higher scores reflecting greater adherence to recommendations. The dietitian calculated this score using anthropometric data, 24 hour recall dietary intake and food frequency questionnaire from baseline and 12 months. Scores from the UPF recommendation were calculated as tertiles, using the complete data set from 24-hour dietary recalls at baseline and 12 months. Dietitians manually calculated the total percentage of kilocalories from UPF consumed using Nutritics software.
Experimental arm intervention
Following the baseline anthropometric and nutritional assessments, the experimental arm received a written “Nutrition Pack” containing “Healthy Eating For Cancer Survivors”,52 a booklet containing the WCRF Recommendations and healthy recipes; the Health Service Executive (HSE) Weekly Low Risk Guidelines for Alcohol; Let’s Get Active Leaflet; and two sample walking programmes. The information was verbally relayed to participants by the dietitian via a telehealth platform, which allowed for information to be described and adapted to fit the individual’s own circumstances. Following this education session, the experimental arm received personalised nutritional counselling following the Nutrition Care Process53 and the behaviour change model54 to ensure that dietetic care was standardised across both sites.
Following the Nutrition Care Process, Nutrition Assessment and Diagnosis was conducted at the baseline outpatient visit. At the baseline virtual visit (Figure 2), using the behavioural change model54, motivational interviewing55 and shared decision-making56, the Nutrition Intervention was conducted. This determined the dietetic prescription, formulated achievable goals and directed action. Nutrition Monitoring and Evaluation was conducted using the trigger-initiated ePROs every 2 months. This was assessed through electronic surveys, received via email.
ePROs trigger system
The ePROs collected at baseline and month 12 for both arms, and additionally at 2, 4, 6, 8, 10 for the experimental arm, were translated into a colour-coordinated trigger system. There was a maximum of two dietitians at each site conducting dietetic consultations using a standardised approach.
Dietetic ePROs survey questions were broken into two sections: 1) diet and 2) exercise, with questions directly translating into the trigger scoring system (Table 2).
Participants triggered a nutritional pathway if they had: an MST score of 2-7; BMI >30; or a BMI 25.5-30kg/m2 and weight gain concern (Figure 2).
The research nurse used the R Project for Statistical Computing and the RStudio integrated development environment (IDE) statistical software packages to produce a trigger list for research dietitians (Figure 3). If participants triggered, they were contacted by the research dietitian and a review was conducted using the telehealth platform T-Pro or via telephone consultation. Participants were contacted by the research dietitian up to three times within a week of the trigger. If participants did not make contact, they were classed as a “did not attend” (DNA) and were reviewed at the next survey.
24HR: 24-hour; BIA: Bioelectrical Impedance Analysis; BMI: Body Mass Index; FFQ: Food Frequency Questionnaire; LYSA: Linking You to Support and Advice; MST: Malnutrition Screening Tool; PCN: Personalised Nutritional Counselling; RD: Registered Dietitian; WCRF/AICR: World Cancer Research Fund/American Institute for Cancer Research; WGC: Weight Gain Concern.
The research dietitians had access to the nursing trigger list, which included symptoms such as fatigue, urinary urgency, constipation, diarrhoea, insomnia and fear of recurrence, to allow for a comprehensive dietetic assessment. Nutritional counselling was adapted to the specific trigger, and the subsequent dietetic assessment that was conducted. Overall, nutritional counselling focused on optimal body composition, including muscle mass and bone mineral density, regardless of body weight, through protein and calcium intake. Protein intake was targeted at 1.5 – 2.0g Protein per kilogram of body weight per day (kg/BW/d)57 and standard nutrition support advice, as per the National Clinical Guideline 2258, was given to participants with an MST >2 and/or a BMI <18.5, including food fortification and the use of oral nutritional supplements when required. For participants with MST >2 and/or a BMI <18.5, a goal of 25-30kcal and 1.5 – 2.0g Protein per kilogram of body weight was set, as per ESPEN Guidelines59.
For participants with BMI >=25.5 and WGC or BMI >30, behavioural change and motivational interviewing was incorporated as part of the care plan, as per the INDI Position on Optimal Approaches to Adult Weight Management Services in Ireland60. Stable dietary and meal patterns were established focusing on optimal protein intake and where appropriate, recommendations included up to a 600kcal daily energy deficit60. SMART (specific, measurable, achievable, relevant and timebound) goals were established at each consultation, following a patient-led approach. At subsequent trigger-initiated consultations, these SMART goals were evaluated, with external triggers and antecedents to eating behaviours identified. In individual cases where clinical judgement dictated appropriate, the dietitian could review before the next 2-month survey.
The experimental arm completed their endpoint survey at 12 months and were invited to attend the 12-month Survivorship Clinic. Participant results were compared from baseline and if clinically appropriate, a final personalised nutritional counselling session was conducted. For participants where clinical judgement dictated appropriate, a consented referral to the relevant Community Nutrition and Dietetic Service was made for nutrition support or weight management.
Active comparator arm
Following the baseline anthropometric and nutritional assessments, participants randomized to the active comparator arm underwent routine surveillance. They completed their endpoint survey at 12 months, assessing MST score, body weight, weight gain concern and physical activity status (Figure 3). The ePROs were translated into a colour-coordinated trigger system by the research nurse.
Upon completion of their 12-month survey, the active comparator arm was invited to attend the 12-month (T12) Outpatient Survivorship Clinic. Participants who had triggered at their 12-month survey were offered a personalised nutritional counselling session which was conducted at the point of study completion (Figure 3). They also received the same Nutrition Pack as the experimental arm, posted to them upon completion of the study. For active comparator arm participants where clinical judgement dictated appropriate, a consented referral to the relevant Community Nutrition and Dietetic Service was made for nutrition support or weight management.
The study was deemed low risk by the study sponsor based on the stated intervention. The process for adverse events is outlined in the Primary Protocol41.
The statistical analysis has been published the in the Primary Protocol41. Data will be processed and analysed using descriptive and inferential statistics using the R Studio Package. Preliminary analyses will be carried out to ensure that the assumptions of normality, linearity or homoscedasticity are not violated. Means and standard deviations will be presented for normally distributed data, while medians and interquartile ranges will be used to describe non-parametric data. Chi Squared test or Fishers exact tests will be used to compare categorical variables. Mann Whitney U tests will be used to investigate differences in continuous, non-parametric data.
Participants demographics and cancer characteristics, including menopausal status and adjuvant endocrine therapy use, will be presented as descriptive statistics including mean (SD), median (range) and proportions.
A generalised linear mixed model test will be performed to determine the mean differences in lean tissue mass, adipose tissue mass, body weight, handgrip strength, waist circumference and other health outcomes between women in the experimental arm and the active comparator arm over time and group by time interaction.
Nutritics will be utilized to capture dietary intake information, and data from the multiple 24HDR assessments will be analyzed using the UK’s composition of foods data from McCance and Widdowson’s integrated dataset61, the United States Department of Agriculture (USDA) Food Composition Database62, and the Irish food composition database63. Data concerning changes in nutritional status will be complemented by nutrient data from the European Prospective Investigation into Cancer Study EPIC-Norfolk Food Frequency Questionnaire (FFQ)48 based on version 6 (CAMB/PQ/6/1205). Data gathered via the FFQ will be entered into a validated processing tool, the FFQ EPIC Tool for Analysis (FETA), based on the Compositional Analyses from Frequency Estimates (CAFE) system64. Changes in diet quality scores will be based on the WCRF/AICR standardized scoring system50,51, with higher scores representing a better diet quality.
The study team members are collaborating with a public and patient involvement (PPI) panel in the design, development, implementation, analysis, and dissemination of the study. The PPI panel includes patient advocates who have had breast or gynaecologic cancers, and stakeholders including clinical and academic experts, wider members of the multidisciplinary team and community support groups.
The primary aim of the Linking You to Support and Advice (LYSA) randomized controlled trial is to evaluate, for the first time, the feasibility of nurse- and dietitian-led survivorship clinics for early-stage breast and gynaecologic cancer survivors in Irish cancer centres, using electronic patient-reported outcomes (ePROs). The purpose of this protocol paper is to describe the implementation of the dietetic intervention in detail to contribute to the growing body of literature around supportive care.
Meeting the nutrition-specific needs of this growing cohort of cancer survivors may prove a challenge in today’s climate. Research globally has reported that access to a dietitian is a barrier: in breast and gynaecologic survivors, only 12–34% reported engaging with a dietitian at least once post-treatment28,29 but 35–60% reported moderate to severe nutrition impact symptoms29, perceived muscle loss, dietary problems and the desire to engage with a dietitian28. The impact of body composition as a prognostic outcome has been well documented57, but it is still not incorporated into routine care within the Irish setting. A greater effort should be in place to make body composition assessment accessible to all healthcare and medical professionals, not only through primary curative treatment but particularly following its completion, to monitor the impact and effect of the former.
Sarcopenia is common in breast and gynaecologic cancers, affecting 11–67% of patients65–71. It is now recognised to include muscle strength and performance, no longer solely characterised by low muscle mass57. Low muscle mass has been associated with increased toxicity-related endocrine therapy discontinuation (OR 2.18, p = 0.036), subsequently worse ipsilateral breast tumour recurrence and disease-free survival (HR 9.47, p = 0.002; HR 4.53, p = 0.001)14, and a 71% increased mortality risk in breast cancer survivors67. Sarcopenic obesity, characterised by high adiposity and low muscle mass, further increases mortality and treatment complications, with BMI proving an unreliable prognostic factor14,72. Chemotherapy contributes to metabolic syndrome in 73% of patients and increases inflammation by 32%21, while cancer treatments can also accelerate bone loss, with a 21% reduction in bone density within 6 months21–24. Whilst chemotherapy and endocrine therapy are associated with increased visceral adipose tissue (VAT) in breast cancer69,70 research examining the effects of endocrine therapy on muscle mass in breast cancer has been variable, with one study showing an increase muscle mass70 but others demonstrated a decrease in skeletal muscle index73,74. Further long-term research is warranted to contribute to the understanding of endocrine therapies relationship with body composition. The LYSA Trial will provide the first Irish data set, comparing changes in muscle mass during the first years of endocrine therapy (active comparator arm) and the impact of dietary counselling (experimental arm) for a 12 month period.
Oncology dietitians, who have upskilled in the area of body composition analysis, are in the unique position to assess, diagnose, intervene and monitor important prognostic factors, such as muscle mass and adipose tissue mass. The impact of a body composition assessment should not be ignored, however in routine clinical assessment due to a myriad of factors, anthropometric measurements are limited to weight, height and BMI. The breast and gynaecologic cancer cohort may be particularly at risk of sarcopenic obesity due to the impact of menopausal status and adjuvant endocrine therapy as well as weight gain during systemic anti-cancer treatment. Given the inconsistencies of BMI as a prognosis factor in individuals with overweight or obesity in relation to DFS, assessment of body composition has evolved to be a more informative approach19. This protocol details the use of practical and accessible techniques for assessing body composition in the outpatient setting, including handgrip strength (HGS), waist circumference (WC), and bioelectrical impedance analysis (BIA). These methods are not only feasible for routine clinical use by dietitians in acute and outpatient settings but also hold promise as valid indicators of nutritional and functional status. While each has known limitations—such as HGS being potentially affected by aromatase inhibitor–induced arthralgia, or BIA being contraindicated in certain clinical scenarios—this protocol offers a structured approach to their use, supporting consistency and reliability. Importantly, the study has the potential to compare and validate HGS and WC against BIA, and to explore how these accessible tools correlate with clinical outcomes. In doing so, this work may provide an evidence base for inexpensive, scalable methods that can enhance dietetic practice and improve patient care.
Weight management in this patient cohort may be considered novel or even taboo among healthcare providers. Traditionally, weight maintenance or gain has been a key dietary goal during systemic anti-cancer treatment. Outside of the acute oncology setting, access to specialist oncology dietitians is often limited. Excess adipose tissue increases the risk of cancer recurrence, particularly in breast and gynaecologic cancer survivors, and raises the likelihood of chronic diseases such as type 2 diabetes and cardiovascular disease—the leading cause of death among postmenopausal women74. A recent study of 1,000 women aged 50–69 found that 90% desired weight loss, and over 70% engaged in dieting behaviours75. In Ireland, 37% of cancer survivors reported trying or following an alternative diet, while 30% avoided specific foods28. These findings highlight the need for effective, sustainable weight management interventions that improve body composition and dietary quality. Such interventions could offer a three-fold benefit: reducing cancer recurrence risk, lowering chronic disease risk, and preventing harmful dieting behaviours.
The availability of oncology dietitians remains a challenge. In U.S. cancer centres, the patient-to-dietitian ratio is 1:2,380, with only 8.7% offering tele-dietetics or e-coaching76. In Ireland, the ratio is even higher at 1:4,50077. Ireland has eight designated cancer centres, with four in the capital and 14 additional centres with oncology or haematology consultants8. The Irish Society of Clinical Nutrition and Metabolism reported that in 2019, only five full-time equivalent oncology dietitians worked outside the capital, and no dedicated dietetic survivorship services existed in any centre8. Innovative and feasible pathways for dietetic intervention and support are being explored globally78–81 however, to our knowledge, this is the first dedicated dietetic survivorship clinic based in an Irish regional cancer centre using ePROs to reach survivors in both rural and urban areas.
The sphere of telemedicine and telehealth has grown rapidly in the wake of COVID19 pandemic. If used effectively as a supplement to standard routine care, the use of electronic patient reported outcomes can allow healthcare professionals to closely monitor cancer survivors and related symptoms and intervene in a timely fashion. In 2023, a systematic review analysing over 15 randomised control trials (n=2363 cancer survivors) reported that mobile health dietary interventions may be an effective strategy for cancer survivors82. The review reported significantly improved quality of life (p=0.04), reduced weight (p=0.01) and waist circumference (p<0.01), however the trials included did not report lean body mass or fat tissue mass as an outcome82. The trials conducted the interventions over a variety of timepoints; from 4 weeks to 24 months82. Interestingly, only 3 RCTs reported interventions that were provided by a dietitian, other interventions were provided by cancer survivors, fully automated systems, medical students and unspecified healthcare professionals82. The review concluded that larger scale RCTs with rigorous study design are needed to examine the effect of dietary interventions delivered via mobile health interventions. The LYSA study design aligns with the EU Beating Cancer Plan which focuses on innovation, by tapping into the potential that digitalisation and new technologies offer.
Traditional survivorship care often relies on body weight or BMI as crude proxies for nutritional status, which can mask important changes in lean tissue and fat distribution—especially in female cancer survivors exposed to endocrine therapy and treatment-induced menopause. This protocol addresses these limitations by incorporating BIA to assess body composition, offering a more sensitive and nuanced measure of nutritional status than weight alone; including muscle strength measurements to capture functional outcomes, which are critical indicators of sarcopenia and quality of life57. The ability to track longitudinal changes in these parameters over 12 months, rather than relying on cross-sectional or self-reported data, is a significant strength to this protocol. Moreover, integrating body composition assessment within a comprehensive nutritional framework – including dietary intake, cancer-specific dietary quality, nutritional risk, and electronic patient reported outcomes – addresses a critical gap, as at the time of writing, no dietetic protocol encompassed this scope, or if one exists, it remains inaccessible due to lack of publication.
The LYSA randomized controlled trial represents a significant step toward addressing the gaps in survivorship care for early-stage breast and gynecologic cancer survivors in Ireland. By integrating dietetic and nursing support with ePROs this study aims to provide a scalable, accessible model for a dietetic survivorship service. Given the impact of body composition and dietary quality on cancer recurrence and chronic disease, this protocol emphasizes the importance of a comprehensive dietetic assessment and intervention in this cohort. With limited access to oncology dietitians, LYSA explores feasible dietary interventions and digital health strategies to enhance survivorship care. By aligning with the EU Beating Cancer Plan, this trial leverages innovation to improve patient outcomes and inform future models of care.
The study was conducted in accordance with the Declaration of Helsinki and approved by the Clinical Research Ethics Committee of the University Teaching’s Hospital [CREC] (ECM 4 (y) 20/10/20) and Galway Clinical Research Ethics Committee (121/21, 08/02/22).
Informed consent was obtained from all subjects involved in the study.
CONSORT and TIDiER Checklists relating to this protocol are available via Open Science Framework Repository: https://doi.org/10.17605/OSF.IO/JM7FX.
Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
Conceptualization: RMC, JH
Methodology: RMC, JH, SJC, KOC, LR, DD, BP, KB, AD, FB
Software: BP, KOC, LR, AD
Validation: KOC, SC, NF, KJ
Formal analysis: DD and BP
Investigation: KEJ, KOC, NF, AD and VMcS
Resources: RMC, JH
Data curation: KEJ, AD, KOC, NF, VMcS
Writing—original draft preparation: KEJ, SJC
Writing—review and editing: KEJ, SJC, VMcS, AD, KB, FB, KOC, LR, NF, KM, DD, BP, AL, JH, RC
Visualization: KEJ, SJC, KOC, LR, JH, RC
Supervision: SJC, RC, JH
Project administration: KM, KOC
Funding acquisition: RC, JH
All authors have read and agreed to the published version of the manuscript.
The authors would like to thank the study participants, nurses, dietitians, and medical and healthcare professionals who assisted in every aspect of this research. We would like to particularly thank the PPI panel, staff members at the Cancer Support Houses Cork Arc, and Recovery Haven Kerry for their invaluable input and contribution to this research. We would also like to acknowledge the continued support of the UCC Cancer Trials Group and the National Cancer Control Programme throughout this research. RC has received salary support from Breakthrough Cancer Research.
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