Assessment of the impact of multi-cancer early detection test screening intervals on late-stage cancer at diagnosis and mortality using a state-transition model

Objective
Multi-cancer early detection (MCED) tests are novel technologies that detect cancer signals from a broad set of cancer types using a single blood sample. The objective of this study was to estimate the effect of screening with an MCED test at different intervals on cancer stage at diagnosis and mortality endpoints.

Design
The current model is based on a previously published state-transition model that estimated the outcomes of a screening programme using an MCED test when added to usual care for persons aged 50–79. Herein, we expand this analysis to model the time of cancer diagnosis and patient mortality with MCED screening undertaken using different screening schedules. Screening intervals between 6 months and 3 years, with emphasis on annual and biennial screening, were investigated for two sets of tumour growth rate scenarios: ‘fast (dwell time=2–4 years in stage I) and ‘fast aggressive’ (dwell time=1–2 years in stage I), with decreasing dwell times for successive stages.

Setting
Inputs for the model include (1) published MCED performance measures from a large case-control study by cancer type and stage at diagnosis and (2) Surveillance, Epidemiology and End Results (SEER) data describing stage-specific incidence and cancer-specific survival for persons aged 50–79 in the US for all cancer incidence.

Outcome measures
We used the following outcome measures: diagnostic yield, stage shift, and mortality.

Results
Annual screening under the fast tumour growth scenario was associated with more favourable diagnostic yield. There were 370 more cancer signals detected/year/100,000 people screened, 49% fewer late-stage diagnoses, and 21% fewer deaths within 5 years than usual care. Biennial screening had a similar, but less substantial, impact (292 more cancer signals detected/year/100,000 people screened; 39% fewer late-stage diagnoses, and 17% fewer deaths within 5 years than usual care). Annual screening prevented more deaths within 5 years than biennial screening for the fast tumour growth scenario. However, biennial screening had a higher positive predictive value (54% vs 43%); it was also more efficient per 100,000 tests in preventing deaths within 5 years (132 vs 84), but prevented fewer deaths per year.

Conclusion
Adding MCED test screening to usual care at any interval could improve patient outcomes. Annual MCED test screening provided more overall benefit than biennial screening. Modelling the sensitivity of outcomes to different MCED screening intervals can inform timescales for investigation in trials.

Leggi
Maggio 2025

Female sex workers perceptions, concerns and acceptability of OraQuick HIV self-test in Woldia town, North Wollo, Ethiopia: a qualitative study

Objective
To explore female sex workers’ perception, concern and acceptability of OraQuick HIV self-test (HIVST) in Woldia town, North Wollo, Ethiopia, in 2024.

Design
The study used a phenomenological design and the Integrated Behaviour Model as a theoretical framework.

Setting
Woldia town, Ethiopia, is the capital city of North Wollo Zone.

Participants
Twenty female sex workers and 18 key informants in Woldia town were involved.

Results
Most participants had a positive attitude towards testing with these devices and anticipated positive consequences, such as enhanced privacy, decreased waiting time, reduced transportation costs, increased accessibility for immobile individuals, elevated utility in index case screening and testing programmes and the provision of confidential, trustworthy and reliable test results. Most female sex workers perceived that significant people in their social environment approved and used OraQuick HIVST. The facilitators to uptake of OraQuick HIVST among female sex workers included privacy, ease of use and nonrequierement for trained healthcare providers when testing. Thus, most female sex workers were confident in their ability to test themselves and interpret their test result using OraQuick HIVST.
To optimise uptake of testing using OraQuick, female sex workers proposed supplying kits in an easily accessible manner, increasing awareness about the kit and advocating for and promoting that the kits are strategies to facilitate HIVST uptake and maximise individuals’ self-efficacy. The perceived possible concerns or barriers to the uptake of OraQuick HIVST included a shortage of kits, doubts about reliability prior to education, absence of policies or guidelines for HIVST, lack of post-test counselling and immediate treatment for positive individuals, potential psychological trauma such as suicidal ideation or attempts, lack of linkage to care for those with reactive results and inaccurate reporting of positive results or result concealment.

Conclusion
This finding suggests that OraQuick HIVST was acceptable to female sex workers in the study area, with the majority of female sex workers having a positive attitude, supportive social norms and self-efficacy. Therefore, interventions to increase awareness, advocate for the kit and address perceived concerns or barriers to HIVST are needed to maximise its uptake in the study setting.

Leggi
Maggio 2025

Health in All Networks Simulator: mixed-methods protocol to test social network interventions for resilience, health and well-being of adults in Amsterdam

Background
Social networks are an important, although overlooked, component of community-based health promotion. Advances in social network research have highlighted different social network intervention (SNI) strategies to improve community-based health promotion. The aim of this project is to collaborate with community and policy stakeholders to explore how to best apply these SNI strategies to improve the resilience, health and well-being of adults in Amsterdam, and more broadly in the Netherlands.

Methods and analysis
To this end, we will collaboratively develop an intervention planning tool called the ‘Health in All Networks Simulator (HANS)’. This tool will be capable of virtually testing different SNI strategies and forecasting their possible impact on resilience, health and well-being. Taking a mixed-methods approach consisting of a combination of interviews, group model building workshops and agent-based modelling with members of two communities in Amsterdam and policy stakeholders, we will foster a shared learning process while ensuring ownership and relevance of HANS to ongoing community-based health promotion practice.

Ethics and dissemination
The research project has been approved by the research ethics committee of Wageningen University (approval numbers: 2024-039; 2024-226). HANS will be shared directly with stakeholders. The results will be made available to the public via open-access publications and conferences.

Leggi
Aprile 2025

New Blood Test Shows Promise in Detecting Pancreatic Cancer

Pancreatic cancer is considered the third deadliest cancer in the US, resulting in more than 50 000 deaths each year, partially because tumors of the pancreas often go undetected until later stages. Although early-stage and localized pancreatic cancer has a much higher survival rate, there are no reliable US Food and Drug Administration–approved screening methods to detect tumors before they spread to the lymph nodes or other organs.

Leggi
Aprile 2025

Protocol of the pilot study to test and evaluate the iCARE tool: a machine learning-based e-platform tool to make health prognoses and support decision-making for the care of older persons with complex chronic conditions

Introduction
The provision of optimal care for older adults with complex chronic conditions (CCCs) poses significant challenges due to the interplay of multiple medical, pharmacological, functional and psychosocial factors. To address these challenges, the I-CARE4OLD project, funded by the EU-Horizon 2020 programme, developed an advanced clinical decision support tool—the iCARE tool—leveraging large longitudinal data from millions of home care and nursing home recipients across eight countries. The tool uses machine learning techniques applied to data from interRAI assessments, enriched with registry data, to predict health trajectories and evaluate pharmacological and non-pharmacological interventions. This study aims to pilot the iCARE tool and assess its feasibility, usability and impact on clinical decision-making among healthcare professionals.

Methods and analysis
A minimum of 20 participants from each of the seven countries (Italy, Belgium, the Netherlands, Poland, Finland, Czechia and the USA) participated in the study. Participants were general practitioners, geriatricians and other medical specialists, nurses, physiotherapists and other healthcare providers involved in the care of older adults with CCC. The study design involved pre-surveys and post-surveys, tool testing with hypothetical patient cases and evaluations of predictions and treatment recommendations. Two pilot modalities—decision loop and non-decision loop—were implemented to assess the effect of the iCARE tool on clinical decisions. Descriptive statistics and bivariate and multivariate analysis will be conducted. All notes and text field data will be translated into English, and a thematic analysis will be performed. The pilot testing started in September 2024, and data collection ended in January 2025. At the time this protocol was submitted for publication, data collection was complete but data analysis had not yet begun.

Ethics and dissemination
Ethical approvals were granted in each participating country before the start of the pilot. All participants gave informed consent to participate in the study. The results of the study will be published in peer-reviewed journals and disseminated during national and international scientific and professional conferences and meetings. Stakeholders will also be informed via the project website and social media, and through targeted methods such as webinars, factsheets and (feedback) workshops. The I-CARE4OLD consortium will strive to publish as much as possible open access, including analytical scripts. Databases will not become publicly available, but the data sets used and/or analysed as part of the project can be made available on reasonable request and with the permission of the I-CARE4OLD consortium.

Leggi
Aprile 2025