Publications by authors named "J Lykke"
Objective: This clinical trial investigated the safety and efficacy of single-cycle pembrolizumab in patients with localized deficient mismatch repair (dMMR) colon cancer.
Background: Neoadjuvant immunotherapy has induced remarkable rates of pathological complete response in patients with dMMR colon cancer. However, the optimal length and type of treatment are yet to be determined.
Long-Term Outcomes in Patients With Locally Advanced Rectal Cancer Following R1 Resection After Either Induction Chemotherapy and Chemoradiotherapy or Chemoradiotherapy Alone.
Clin Colorectal Cancer
October 2024
Introduction: Total neoadjuvant treatment (TNT) with induction chemotherapy (ICT) followed by chemoradiotherapy (CRT) has improved long-term outcomes for patients with locally advanced rectal cancer (LARC). However, long-term outcomes have not been investigated for patients with incomplete (R1) resection separately. This study investigates overall survival (OS), disease-free survival (DFS) and local and distant recurrence rates in patients with R1 resection after preoperative treatment with ICT and CRT or CRT.
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- The study investigates the link between cardiac output (CO) and hypertension disorders during pregnancy, specifically preeclampsia, in women with and without fetal growth restriction (FGR).
- In a cohort of 906 pregnant women, findings suggest that low CO is a significant risk factor for preeclampsia, especially in those below 37 weeks of gestation, with women having FGR being at an even higher risk.
- The research highlights the potential importance of monitoring third-trimester cardiovascular function to identify women at risk for preeclampsia, although more studies are needed to confirm these findings.
Objective: To predict birth weight at various potential gestational ages of delivery based on data routinely available at the first antenatal visit.
Design: Individual participant data meta-analysis.
Data Sources: Individual participant data of four cohorts (237 228 pregnancies) from the International Prediction of Pregnancy Complications (IPPIC) network dataset.