Algorithms to identify radiotherapy intent in unresected non-metastatic non-small-cell lung cancer: an I-O Optimise analysis.

This study aimed to develop and evaluate the performance of algorithms for identifying radiotherapy (RT) treatment intent in real-world data from patients with non-metastatic non-small-cell lung cancer (NSCLC). Using data from IPO-Porto hospital (Portugal) and the REAL-Oncology database (England), three algorithms were developed based on available RT information (#1: RT duration, #2: RT duration and type, #3: RT dose) and tested versus reference datasets. Study results showed that all three algorithms had good overall accuracy (91-100%) for patients receiving RT plus systemic anticancer therapy (SACT) and algorithms #2 and #3 also had good accuracy (>99%) for patients receiving RT alone.

Use of quantitative bias analysis to evaluate single-arm trials with real-world data external controls.

Purpose: Use of real-world data (RWD) for external controls added to single-arm trials (SAT) is increasingly prevalent in regulatory submissions. Due to inherent differences in the data-generating mechanisms, biases can arise. This paper aims to illustrate how to use quantitative bias analysis (QBA).

Real-world treatment patterns and survival outcomes for patients with stage III non-small cell lung cancer in Spain: a nationwide cohort study.

Background: The burden of non-small cell lung cancer (NSCLC) remains high in Spain, with lung cancer accounting for 20% of cancer-related deaths annually. Programs such as the Spanish Thoracic Tumour Registry (TTR) and the global I-O Optimise initiative have been developed to observe patients in clinical practice with the aim of improving outcomes. This analysis examined treatment patterns and survival in patients with stage III NSCLC from the TTR.

How Do People with Experience of Infertility Value Different Aspects of Assistive Reproductive Therapy? Results from a Multi-Country Discrete Choice Experiment.

Objectives: Assistive reproductive therapies can help those who have difficulty conceiving but different forms of assistive reproductive therapies are associated with different treatment characteristics. We undertook a large, multinational discrete choice experiment to understand patient preferences for assistive reproductive therapies.

Methods: We administered an online discrete choice experiment with persons who had experience with subfertility or assistive reproductive therapies in the USA, UK, the Nordic region (Denmark, Norway, Sweden, Finland), Spain, and China.

Association between mode of delivery and body mass index at 4-5 years in White British and Pakistani children: the Born in Bradford birth cohort.

Background: Globally, it is becoming more common for pregnant women to deliver by caesarean section (CS). In 2020, 31% of births in England were CS, surpassing the recommended prevalence of CS. Concerns have been raised regarding potential unknown consequences of this mode of delivery.

Is the public supportive and willing to pay for a national assistive reproductive therapies programme? Results from a multicountry survey.

Objectives: To understand attitudes towards infertility and willingness to pay (WTP) towards a publicly funded national assistive reproductive therapies (ART) programme.

Design: Attitudes survey with dichotomous and open-ended WTP questions.

Setting: Online survey administered in the USA, UK, Norway, Sweden, Finland, Denmark and China.