Comparison of clinical outcomes and quality of life for robotic versus laparoscopic surgery in elderly patients with mid-low rectal cancer: a multicenter cohort study with inverse probability of treatment weighting analysis
Background: The rising incidence of rectal cancer (RC) in elderly patients contrasts with the scarcity of robust evidence comparing robotic-assisted and laparoscopic resection in this population. This study evaluated clinical outcomes and quality-of-life (QoL) metrics between these approaches in elderly patients with mid-low RC. Methods: Consecutive patients aged 70 years or older with mid-low RC who underwent minimally invasive resection at two tertiary centers from January 2017 to December 2024 were categorized into robotic (n=211) and laparoscopic (n=812) cohorts. Outcomes were analyzed using inverse probability of treatment weighting (IPTW) based on propensity scores. Results: < 0.05). For patients with T4 stage tumors, the robotic approach demonstrated superior cancer-specific survival compared to laparoscopy, a benefit that was maintained after IPTW. Conclusions: Robotic-assisted surgery is a safe and feasible alternative for elderly patients with mid-low RC, offering reduced perioperative complications, superior functional preservation, and potential CSS benefits in T4 disease.
Authors
- Chenhao Hu (ORCID: https://orcid.org/0000-0002-0096-0488)
- Junjun She (ORCID: https://orcid.org/0000-0001-5104-663X)
- Zhigang Wu (ORCID: https://orcid.org/0000-0002-4627-0124)
- Feiyu Shi (ORCID: https://orcid.org/0000-0001-5691-1362)
- Yujie Li (ORCID: https://orcid.org/0000-0003-3527-5859)
- K X Wang
- Guanghui Wang
- Lin Wang
- Chao Yin
- Lei Zhang
Institutions
- First Affiliated Hospital of Xi'an Jiaotong University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2026-04-21
- DOI
- https://doi.org/10.3389/fonc.2026.1809161
- Primary Topic
- Colorectal Cancer Surgical Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Shaanxi Province