Evidence map›Paper›PMID 42607081›Full record

ReviewThe international journal of medical robotics + computer assisted surgery : MRCAS2026

Robot-Assisted Antireflux Surgery in Gastro-Oesophageal Reflux Disease and Hiatal Hernia: Beyond Platform Comparison Towards Selective Clinical Value.

Zequn Li, Shougen Cao, Yanbing Zhou

Abstract readReviewComparative Study
In one paragraph

Review in The international journal of medical robotics + computer assisted surgery : MRCAS, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

3 authors.

Zequn LiDepartment of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.ORCID https://orcid.org/0009-0004-5831-9361
Shougen CaoDepartment of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Yanbing ZhouDepartment of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.

Funding

Wu Jieping Medical Foundation Clinical Research Special Fund 320.6750.2024-17-41Young Talent of Lifting engineering for Science and Technology in Shandong SDAST2024QTA032
6 · The paper itself

Abstract

introductionContemporary gastro-oesophageal reflux disease (GERD) management increasingly relies on objective diagnosis and phenotype-based treatment selection, prompting reassessment of robot-assisted antireflux surgery beyond simple comparison with laparoscopy.

methodsA narrative review of PubMed/MEDLINE, Web of Science and guideline-based sources addressing robotic antireflux and hiatal hernia surgery, with emphasis on case complexity, reconstructive demands and recent comparative evidence.

resultsRobotic surgery appears safe and feasible, with perioperative outcomes and mid-term symptom control generally comparable to those of laparoscopy. Superiority in routine primary procedures remains unproven, whereas potential advantages appear more relevant in giant or paraoesophageal hernia (PEH) repair, revisional foregut surgery, complex mediastinal dissection and demanding hiatal reconstruction.

conclusionsRobot-assisted antireflux surgery should be viewed as a selectively deployed precision platform for complex foregut reconstruction rather than as a universal alternative to laparoscopy.

Indexed as

Gastroesophageal RefluxHernia, HiatalRobotic Surgical ProceduresHumansLaparoscopyTreatment Outcomeantireflux surgeryforegut reconstructiongastro‐oesophageal reflux diseasehiatal herniaparaoesophageal herniarobot‐assisted surgery

Identifiers

PMID42607081
PMCPMC13480531

What OpenQuestion holds

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Registered trials

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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.