Predicting LARS with POLARS : Results of a multicentre study

BACKGROUND: Rectum-preserving colorectal surgery, with low or ultra-low anastomosis, became the standard of care with advances in laparoscopic and now robotic surgery. As a downside, it is not uncommon for function to be affected, causing low anterior resection syndrome (LARS), which is a common postoperative challenge. AIM: To determine the correlation of using the predictive preoperative POLARS scores with actual postoperative LARS scores for patients undergoing rectal resections with low pelvic anastomosis. METHODS: A multicentre, prospective study evaluating LARS was conducted with patients undergoing rectal resection with restoration of bowel continuity. Defaecatory function was assessed preoperatively using the POLARS scoring questionnaire and 6 months after the surgery using the LARS scoring questionnaire. The scores were then compared to determine any correlations. RESULTS: A total of 310 patients from 13 centres were enrolled, of whom 95 had complete paired POLARS and postoperative LARS score data. POLARS predicted minor LARS in 69 patients (72.6%), whereas 25 patients (26.3%) reported minor LARS postoperatively. Major LARS was predicted by POLARS in 21 patients (22.1%), whereas 24 patients (25.3%) self-reported major LARS postoperatively. Only 7 of these 24 major-LARS cases (29.2%) were correctly categorized as major LARS by POLARS. For detecting major LARS, POLARS showed sensitivity of 29.2%, specificity of 80.3%, positive predictive value of 33.3% and negative predictive value of 77.0%. Spearman correlation between predicted and observed scores was weak but statistically significant (rho = 0.21, p = 0.042). Bland-Altman analysis demonstrated a mean bias of +7.99 points with 95% limits of agreement from -19.23 to 35.20, reflecting systematic overprediction. CONCLUSIONS: POLARS showed weak positive correlation with postoperative bowel function and demonstrated low sensitivity but moderate specificity for major LARS. It systematically overestimated LARS severity in many patients. While POLARS may help identify some individuals at elevated risk, it is insufficient as a stand-alone tool for accurate prediction of postoperative LARS severity and should be combined with clinical judgement and patient-reported follow-up.

Authors

Institutions

Publication Details

Journal
Colorectal Disease
Published
2026-10-27
DOI
https://doi.org/10.1111/codi.70659
Primary Topic
Colorectal Cancer Surgical Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predicting LARS with POLARS : Results of a multicentre study

Tahsin Çolak, Richard A. Fortunato, Abdullah Alharbi, Charlotte Florance et al.
2 links
Colorectal Disease
Colorectal Cancer Surgical Treatments
article

Predicting LARS with POLARS : Results of a multicentre study

Tahsin Çolak, Richard A. Fortunato, Abdullah Alharbi, Charlotte Florance, Narimantas Evaldas Samalavičius, Manal Alquaimi, Justas Žilinskas, Michail Klimovskij, Utku Özgen, Sami Benli, Audrius Dulskas, Uğur Sungurtekin, Guoda Blažytė, Vitaliy Groshilin, Lidia Cristóbal‐Poch, Austeja Cepeniene, Julio del Castillo‐Diego
article en

Abstract

BACKGROUND: Rectum-preserving colorectal surgery, with low or ultra-low anastomosis, became the standard of care with advances in laparoscopic and now robotic surgery. As a downside, it is not uncommon for function to be affected, causing low anterior resection syndrome (LARS), which is a common postoperative challenge. AIM: To determine the correlation of using the predictive preoperative POLARS scores with actual postoperative LARS scores for patients undergoing rectal resections with low pelvic anastomosis. METHODS: A multicentre, prospective study evaluating LARS was conducted with patients undergoing rectal resection with restoration of bowel continuity. Defaecatory function was assessed preoperatively using the POLARS scoring questionnaire and 6 months after the surgery using the LARS scoring questionnaire. The scores were then compared to determine any correlations. RESULTS: A total of 310 patients from 13 centres were enrolled, of whom 95 had complete paired POLARS and postoperative LARS score data. POLARS predicted minor LARS in 69 patients (72.6%), whereas 25 patients (26.3%) reported minor LARS postoperatively. Major LARS was predicted by POLARS in 21 patients (22.1%), whereas 24 patients (25.3%) self-reported major LARS postoperatively. Only 7 of these 24 major-LARS cases (29.2%) were correctly categorized as major LARS by POLARS. For detecting major LARS, POLARS showed sensitivity of 29.2%, specificity of 80.3%, positive predictive value of 33.3% and negative predictive value of 77.0%. Spearman correlation between predicted and observed scores was weak but statistically significant (rho = 0.21, p = 0.042). Bland-Altman analysis demonstrated a mean bias of +7.99 points with 95% limits of agreement from -19.23 to 35.20, reflecting systematic overprediction. CONCLUSIONS: POLARS showed weak positive correlation with postoperative bowel function and demonstrated low sensitivity but moderate specificity for major LARS. It systematically overestimated LARS severity in many patients. While POLARS may help identify some individuals at elevated risk, it is insufficient as a stand-alone tool for accurate prediction of postoperative LARS severity and should be combined with clinical judgement and patient-reported follow-up.

Colorectal DiseaseVol. 28(11)
Allegheny Health Network (US), Lithuanian University of Health Sciences (LT), Rostov State Medical University (RU), Vilnius University (LT), Conquest Hospital (GB), Marqués de Valdecilla University Hospital (ES), King Abdulaziz Hospital (SA), East Sussex Healthcare NHS Trust (GB), National Cancer Institute (LT), King Faisal University (SA), Pamukkale University (TR), Mersin Üniversitesi (TR)
Good health and well-being
Openalex Percentile: Top 16%
Colorectal Cancer Surgical Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon