Low Anterior Resection Syndrome (LARS): A Contemporary Surgical Review of Incidence, Pathophysiology, Risk Stratification and Functional Outcomes

Background and Aims: Low Anterior Resection Syndrome (LARS) is a debilitating sequela of sphincter-preserving rectal cancer surgery, manifesting as faecal urgency, incontinence, frequency and clustering. Despite oncologic success, LARS significantly compromises postoperative quality of life (QoL), with major LARS affecting up to 56% of patients. Over the past decade, a paradigm shift has occurred in its assessment, prediction, and management. Objectives: To synthesise global evidence from 2015 to 2025 on: (a) Pathophysiological mechanisms and risk predictors of LARS, (b) recent advances in conservative and interventional management, (c) integration of artificial intelligence (AI) for functional prediction and (d) regional disparities in care delivery and outcomes. Methods: A narrative review was conducted per SANRA guidelines. Literature was retrieved from PubMed, Embase, and Cochrane databases. Eligible studies included randomised controlled trials (RCTs), systematic reviews and meta-analyses addressing LARS outcomes, therapies, QoL impact, predictive models and implementation challenges. Results: Recent RCTs such as POLARiS and SANLARS have demonstrated the efficacy of transanal irrigation and sacral neuromodulation in reducing major LARS symptoms and improving QoL ( P < .001). Machine learning models (e.g., XGBoost) now outperform traditional predictive tools like the POLARS score (AUROC 0.89 vs. 0.82). However, significant gaps persist in access to diagnostic tools, specialist care and advanced therapies in low- and middle-income regions. Conclusions: LARS requires a multimodal, tiered management strategy informed by predictive analytics and guided by structured QoL assessments. Bridging regional gaps through decentralised care models, culturally contextualised guidelines and AI-integrated prognostication represents the next frontier in functional rectal cancer survivorship.

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Publication Details

Journal
Apollo Medicine
Published
2025-08-30
DOI
https://doi.org/10.1177/09760016251368678
Citations
1
Primary Topic
Anorectal Disease Treatments and Outcomes
Type
article
Field-Weighted Citation Impact
2.01
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article

Low Anterior Resection Syndrome (LARS): A Contemporary Surgical Review of Incidence, Pathophysiology, Risk Stratification and Functional Outcomes

Deepak Govil, Vivek Tandon, Supreet Kumar
1 citations
Apollo Medicine
Anorectal Disease Treatments and Outcomes
2.01
article

Low Anterior Resection Syndrome (LARS): A Contemporary Surgical Review of Incidence, Pathophysiology, Risk Stratification and Functional Outcomes

Deepak Govil, Vivek Tandon, Supreet Kumar
article en
1 citations

Abstract

Background and Aims: Low Anterior Resection Syndrome (LARS) is a debilitating sequela of sphincter-preserving rectal cancer surgery, manifesting as faecal urgency, incontinence, frequency and clustering. Despite oncologic success, LARS significantly compromises postoperative quality of life (QoL), with major LARS affecting up to 56% of patients. Over the past decade, a paradigm shift has occurred in its assessment, prediction, and management. Objectives: To synthesise global evidence from 2015 to 2025 on: (a) Pathophysiological mechanisms and risk predictors of LARS, (b) recent advances in conservative and interventional management, (c) integration of artificial intelligence (AI) for functional prediction and (d) regional disparities in care delivery and outcomes. Methods: A narrative review was conducted per SANRA guidelines. Literature was retrieved from PubMed, Embase, and Cochrane databases. Eligible studies included randomised controlled trials (RCTs), systematic reviews and meta-analyses addressing LARS outcomes, therapies, QoL impact, predictive models and implementation challenges. Results: Recent RCTs such as POLARiS and SANLARS have demonstrated the efficacy of transanal irrigation and sacral neuromodulation in reducing major LARS symptoms and improving QoL ( P < .001). Machine learning models (e.g., XGBoost) now outperform traditional predictive tools like the POLARS score (AUROC 0.89 vs. 0.82). However, significant gaps persist in access to diagnostic tools, specialist care and advanced therapies in low- and middle-income regions. Conclusions: LARS requires a multimodal, tiered management strategy informed by predictive analytics and guided by structured QoL assessments. Bridging regional gaps through decentralised care models, culturally contextualised guidelines and AI-integrated prognostication represents the next frontier in functional rectal cancer survivorship.

Apollo Medicine
Indraprastha Apollo Hospitals (IN), Apollo Hospitals (IN)
Openalex Percentile: Top 12%
Anorectal Disease Treatments and Outcomes
2.01
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