Evidence map›Paper›PMID 42699534›Full record

ArticleInternational journal of surgery case reports2026

Reactive hyperperfusion after short gastric artery division: a real-time indocyanine green fluorescence-guided approach to laparoscopic fundoplication - a case report.

Simeng Li, Lee S Kyang, Nurojan Vivekanandamoorthy, David Goltsman, Aldenb Lorenzo

Abstract readCase Reports
In one paragraph

Article in International journal of surgery case reports, 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

5 authors.

Simeng LiDepartment of Surgery, Bankstown Hospital, Sydney, Australia.
Lee S KyangDepartment of Surgery, Bankstown Hospital, Sydney, Australia.
Nurojan VivekanandamoorthyDepartment of Surgery, Bankstown Hospital, Sydney, Australia.
David GoltsmanDepartment of Surgery, Bankstown Hospital, Sydney, Australia.
Aldenb LorenzoDepartment of Surgery, Bankstown Hospital, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Fundoplication is an effective surgical treatment for gastroesophageal reflux disease, but postoperative dysphagia remains a common complication; intraoperative use of indocyanine green (ICG) fluorescence imaging allows real-time assessment of perfusion and guides surgical decision-making. Case presentation: A 38-year-old male underwent laparoscopic hiatus hernia repair and fundoplication for persistent reflux symptoms despite maximal medical therapy. ICG was administered intravenously at three time points: after port placement, following division of the short gastric arteries, and during wrap formation. After division of the short gastric arteries, a bright orange fluorescence was observed in the stomach fundus, indicating reactive hyperemia. This could suggest an autoregulatory response to maintain perfusion. The patient remained symptomatically well without dysphagia or reflux at 6-month follow-up. Discussion: The real-time change in perfusion was then used to guide the formation of the fundoplication, and final imaging confirmed adequate vascularity of the wrap without compromising the anti-reflux effect of the surgery. Conclusion: ICG fluorescence imaging is a safe and effective adjunct to intraoperative assessment of gastric perfusion during laparoscopic fundoplication, serves as a valuable training tool for guiding wrap construction, and may prevent postoperative dysphagia.

Indexed as

complicationdysphagiaindocyanine greenlaparoscopic fundoplication

Identifiers

PMID42699534
PMCPMC13544799

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.