Evidence map›Paper›PMID 37312936›Full record

ArticleEuropean journal of pediatric surgery reports2023

Hyperspectral Imaging-A Novel Tool to Assess Tissue Perfusion and Oxygenation in Esophageal Anastomoses.

Duarte Vaz Pimentel, Larissa Merten, Jan-Hendrik Gosemann, Ines Gockel, Boris Jansen-Winkeln, Steffi Mayer, Martin Lacher

Abstract readCase Reports
In one paragraph

Article in European journal of pediatric surgery reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

7 authors.

Duarte Vaz PimentelDepartment of Pediatric Surgery, University Hospital Leipzig, Leipzig, Sachsen, Germany.
Larissa MertenDepartment of Pediatric Surgery, University Hospital Leipzig, Leipzig, Sachsen, Germany.
Jan-Hendrik GosemannDepartment of Pediatric Surgery, University Hospital Leipzig, Leipzig, Sachsen, Germany.
Ines GockelDepartment of Visceral, Transplantation, Thoracic and Vascular Surgery, University Hospital Leipzig, Leipzig, Sachsen, Germany.
Boris Jansen-WinkelnDepartment of Visceral, Transplantation, Thoracic and Vascular Surgery, University Hospital Leipzig, Leipzig, Sachsen, Germany.
Steffi MayerDepartment of Pediatric Surgery, University Hospital Leipzig, Leipzig, Sachsen, Germany.
Martin LacherDepartment of Pediatric Surgery, University Hospital Leipzig, Leipzig, Sachsen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anastomotic stricture and leakage are common complications after repair of esophageal atresia (EA). A compromised perfusion of the anastomosis is a contributing factor. Hyperspectral imaging (HSI) is an ultrashort noninvasive method to measure tissue perfusion. We present two cases of with tracheoesophageal fistula (TEF)/EA repair, in whom we applied HSI: the first patient was a newborn with EA type C who underwent open TEF repair. The second one had an EA type A and cervical esophagostomy, in whom we performed gastric transposition. In both patients, HSI confirmed a good tissue perfusion of the later anastomosis. The postoperative course was uneventful and both patients are on full enteral feeds. We conclude that HSI is a safe and noninvasive tool that allows near real-time assessment of tissue perfusion and can contribute to the identification of the optimal anastomotic region during pediatric esophageal surgery.

Indexed as

anastomotic leakageanastomotic strictureesophageal atresiahyperspectral imagingperfusion

Identifiers

PMID37312936
PMCPMC10260350

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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.