Evidence map›Paper›PMID 42770231›Full record

ArticleClinical endoscopy2026

Hybrid endoscopic submucosal dissection enhances efficiency with comparable curative outcomes: a Bayesian meta-analysis, systematic review, and Monte Carlo simulation of randomized controlled trials.

Ashesh Das, Arpitha Sirichandana Baggu, Param Darpan Sheth, Nihal Reddy Bandi, Chandana Priya Digumurthy, Urvashi Bharia, Shah Kavya Hiteshkumar, Krishna Sai Kiran Sakalabaktula, Shankar Biswas, Riyakumari Patel and 2 more

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Article in Clinical endoscopy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Ashesh DasDepartment of Gastroenterology, KPC Medical College and Hospital, Kolkata, India. themetagutdoctor@gmail.com.
Arpitha Sirichandana BagguDepartment of Gastroenterology, Sri Padmavathi Medical College for Women, SVIMS, Tirupati, India.
Param Darpan ShethDepartment of Gastroenterology, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, India.
Nihal Reddy BandiDepartment of Gastroenterology, E.S.I.C Medical College and Hospital, Hyderabad, India.
Chandana Priya DigumurthyDepartment of Gastroenterology, Apollo Institute of Medical Sciences and Research, Chittoor, India.
Urvashi BhariaDepartment of Gastroenterology, Lokmanya Tilak Municipal Medical College and General Hospital, Mumbai, India.
Shah Kavya HiteshkumarDepartment of Gastroenterology, GMERS Medical College, Himmatnagar, India.
Krishna Sai Kiran SakalabaktulaDepartment of Gastroenterology, Tulane University School of Medicine, New Orleans, LA, USA.
Shankar BiswasDepartment of Gastroenterology, Ivano-Frankivsk National Medical University, Ivano-Frankivsk, Ukraine.
Riyakumari PatelDepartment of Gastroenterology, Surat Municipal Institute of Medical Education and Research, Surat, India.
Meenakshi Reddy YathindraDepartment of Gastroenterology, Kasturba Medical College, Mangalore, India.
Venkata Dileep Kumar VeldiDepartment of Gastroenterology, Gayatri Vidhya Parishad Institute of Health Care and Medical Technology, Visakhapatnam, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastrointestinal (GI) cancers accounted for 3.24 million deaths worldwide in 2022. Endoscopic submucosal dissection (ESD) enables en bloc resection of early neoplasms but is time-intensive and technically challenging. Hybrid ESD (H-ESD), which combines dissection with snare polypectomy, may improve efficiency while maintaining efficacy.This Bayesian meta-analysis of randomized controlled trials (RCTs) compares the safety and efficacy of H-ESD with conventional ESD (C-ESD).

methodsWe searched the PubMed, Embase, Cochrane, Scopus databases for RCTs comparing hybrid and C-ESD for superficial GI neoplasms. Bayesian modeling in Just Another Gibbs Sampler used normal-normal hierarchies for procedure time and logRR for binary outcomes with weakly informative priors. Frequentist analyses were performed using Der-Simonian-Laird τ². Heterogeneity was assessed using I²/τ².

resultsH-ESD showed comparable en bloc (RR, 0.97; 95% [CrI], 0.92-1.03; I²=22.8%) and R0 resection rates (RR, 0.97; 95% CrI, 0.90-1.04; I²=0%). Procedure time decreased significantly with H-ESD (MD, -18.05; 95% CrI, -27.77 to -8.33 minutes; I²=66.5%). Adverse events (RR, 1.08; 95% CrI, 0.44-2.63) and perforations (RR, 1.05; 95% CrI, 0.34-3.19) were similar between the two procedures.

conclusionsH-ESD matches C-ESD in curative resection while reducing the procedure time, offering a safer and more efficient alternative. Larger RCTs are needed to confirm the long-term benefits.

Indexed as

Colorectal neoplasmsEndoscopic mucosal resectionMeta-analysisStomach neoplasms

Identifiers

PMID42770231
PMCPMC13624756

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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.