Evidence map›Paper›PMID 42326243›Full record

ArticleCureus2026

Successful Identification and Closure of an Occult Pleuroperitoneal Communication Using Intraoperative Indocyanine Green Fluorescence in a Patient Undergoing Peritoneal Dialysis: A Case Report.

Shinji Shinohara, Kenichi Saito, Koji Kuroda, Toshihiro Osaki

Abstract readCase Reports
In one paragraph

Article in Cureus, 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

4 authors.

Shinji ShinoharaThoracic Surgery, Kokura Memorial Hospital, Kitakyushu, JPN.
Kenichi SaitoThoracic Surgery, Kokura Memorial Hospital, Kitakyushu, JPN.
Koji KurodaThoracic Surgery, Kokura Memorial Hospital, Kitakyushu, JPN.
Toshihiro OsakiThoracic Surgery, Kokura Memorial Hospital, Kitakyushu, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pleuroperitoneal communication (PPC) is a rare complication of peritoneal dialysis that often necessitates discontinuation due to recurrent pleural effusion. In some cases, the diaphragmatic defect is not visible under standard thoracoscopic inspection, making intraoperative localization challenging. Indocyanine green (ICG) fluorescence has emerged as a useful method for detecting occult fistulas. We report the case of a 51-year-old man undergoing peritoneal dialysis for end-stage renal disease who developed right pleural effusion and poor dialysate outflow three months after initiation. Radionuclide peritoneal scintigraphy demonstrated tracer accumulation in the right hemithorax, confirming PPC. Thoracoscopic inspection revealed no visible diaphragmatic defects. Following intraperitoneal injection of 1,500 mL of dialysate mixed with 25 mg of ICG, near-infrared imaging identified two focal fluorescence points on the diaphragmatic dome. These sites were closed using pledget-reinforced horizontal mattress sutures and covered with a polyglycolic acid sheet and fibrin glue. Peritoneal dialysis was successfully resumed on postoperative day seven, and the patient has remained free of recurrent effusion for two years. ICG fluorescence imaging enables rapid and minimally invasive identification of subtle diaphragmatic fistulas that may not be detectable under standard thoracoscopy. This technique may improve intraoperative localization and increase the success of surgical repair in PPC.

Indexed as

indocyanine greenintraoperative imagingperitoneal dialysispleural effusionpleuroperitoneal communicationthoracoscopic surgery

Identifiers

PMID42326243
PMCPMC13280717

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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.