Evidence map›Paper›PMID 39872765›Full record

ArticleWorld journal of gastrointestinal surgery2025

Evaluation of surgical strategy for low anterior resection syndrome using preoperative low anterior resection syndrome score in China.

Yang-Tao Pan, Yi-Min Lv, Shi-Chao Zhou, Dan-Yan Luo, Hao Sun, Wei-Feng Lao, Wei Zhou

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Article in World journal of gastrointestinal surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yang-Tao PanDepartment of Colorectal Surgery, Sir Run Shaw Hospital Affiliated with Zhejiang University, Hangzhou 310016, Zhejiang Province, China.
Yi-Min LvDepartment of Colorectal Surgery, Sir Run Shaw Hospital Affiliated with Zhejiang University, Hangzhou 310016, Zhejiang Province, China.
Shi-Chao ZhouSchool of Mathematics, Nanjing Audit University, Nanjing 211815, Jiangsu Province, China.
Dan-Yan LuoDepartment of Surgery, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou 310000, Zhejiang Province, China.
Hao SunNBU Health Science Center, Ningbo University, Ningbo 315000, Zhejiang Province, China.
Wei-Feng LaoDepartment of Colorectal Surgery, Sir Run Shaw Hospital Affiliated with Zhejiang University, Hangzhou 310016, Zhejiang Province, China. laowf@zju.edu.cn.
Wei ZhouDepartment of Colorectal Surgery, Sir Run Shaw Hospital Affiliated with Zhejiang University, Hangzhou 310016, Zhejiang Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite improved survival rates in rectal cancer treatment, many patients experience low anterior resection syndrome (LARS). The preoperative LARS score (POLARS) aims to address the limitations of LARS assessment by predicting outcomes preoperatively to enhance surgical planning.

aimTo investigate the predictive accuracy of POLARS in assessing the occurrence of LARS.

methodsThis study enrolled a total of 335 patients who underwent laparoscopic or robotic low anal sphincter-preserving surgery for rectal tumors. Patients were categorized into three groups according to their POLARS score: no LARS (score 0-20), minor LARS (score 21-29), and major LARS (score 30-42). The QLQ-C30/CR29 scores were compared among these groups, and the agreement between POLARS predictions and the actual LARS scores was analyzed.

resultsThe study population was divided into three groups: major LARS (

conclusionThe POLARS score demonstrated effectiveness and precision in predicting major LARS, thereby providing valuable insights into postoperative symptoms and patient quality of life. However, the XGBoost model exhibited superior performance with a lower MAE and higher recall for predicting major LARS compared to the POLARS model.

Indexed as

Low anterior resection syndromeMachine learningPredictive AccuracyPreoperative assessmentQuality of life

Identifiers

PMID39872765
PMCPMC11757172

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