Evidence map›Paper›PMID 41162755›Full record

ArticleSurgical endoscopy2026

Biomarker-guided perioperative inflammatory modulation and immunometabolic support are associated with improved recovery and survival after ultra-low anterior resection: a prospective nonrandomized controlled cohort study.

Gang Wang, Shengjie Pan

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Article in Surgical endoscopy, 2026. 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

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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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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Gang WangDepartment of General Surgery, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Suzhou City, Jiangsu Province, China.
Shengjie PanDepartment of Neurology, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Suzhou City, Jiangsu Province, China. 448331812@qq.com.ORCID 0009-0006-1274-7613

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUltra-low anterior resection (ULAR) preserves sphincter function for low rectal cancer but often causes bowel, sexual, sleep, and psychological dysfunction, impairing recovery and survival. Persistent inflammation and immunometabolic dysregulation contribute significantly. We evaluated whether perioperative inflammatory modulation plus biomarker-guided immunometabolic support improved recovery and outcomes after ULAR.

methodsIn this prospective nonrandomized cohort, 198 patients with stage I-III rectal adenocarcinoma (April 2021-April 2023) received ERAS care or a biomarker-guided multicomponent targeted intervention combining perioperative inflammatory modulation and immunometabolic support. The intervention began 14 days preoperatively and continued 6 months, combining short-chain fatty acids, probiotics, and ω-3 fatty acids guided by C-reactive protein, interleukin-6, and tumor necrosis factor-α with individualized optimization (T-cell profiling, skeletal muscle preservation, tailored nutrition). Primary endpoints were depressive symptoms (BDI-II), sleep quality (PSQI), sexual function (IIEF-5/FSFI), and anorectal function (LARS) over 24 months. Secondary endpoints included inflammatory markers, skeletal muscle index (SMI), and survival.

resultsThe intervention improved BDI-II (- 4.5), PSQI (- 3.3), IIEF-5 (+ 4.9), FSFI (+ 5.4), and LARS (- 6.8; all p < 0.01), with 69.2% achieving composite response versus 35.4% of controls. Day-7 CRP, IL-6, and TNF-α were lower; T-cell recovery enhanced; and SMI decline attenuated (- 1.2% vs. - 3.8%; p < 0.001). Recovery accelerated, hospitalization shortened, and complications decreased. At 25.3 months, 2-year DFS (91.0% vs. 77.1%; HR 0.44; p = 0.015) and OS (94.6% vs. 82.3%; HR 0.39; p = 0.018) were higher.

conclusionA biomarker-guided perioperative program integrating inflammatory modulation and immunometabolic support was associated with improved multidomain recovery and survival after ULAR. Confirmation in randomized multicenter trials is warranted.

Indexed as

AdenocarcinomaPerioperative CareProctectomyRectal NeoplasmsAgedBiomarkersC-Reactive ProteinFatty Acids, Omega-3FemaleHumansInflammationMaleMiddle AgedPostoperative ComplicationsProspective StudiesRecovery of FunctionBiomarkersC-Reactive ProteinFatty Acids, Omega-3Disease-free survivalImmunometabolic supportInflammatory modulationLow rectal cancerSkeletal muscle indexUltra-low anterior resection

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.