Evidence map›Paper›PMID 33655117›Full record

ArticleSpartan medical research journal2017

Laparoscopic Paraesophageal Hernia Reduction with Two Point Fixation via Ponsky PEG Tube in a Patient in their early 90s.

Catherine Petzinger, John Parmely

Open access · hybridAbstract readCase Reports
In one paragraph

Article in Spartan medical research journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 40% of its field
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 citations in OpenAlex.

  1. Article
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

2 authors at 1 institution in 1 country.

Catherine PetzingerBeaumont Health General Surgery Resident, PGY 4, Farmington Hills, MI.
John ParmelyBeaumont Health Program Director of General Surgery, Farmington Hills, MI.
Beaumont Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Paraesphageal hernia (PEH) repairs have been historically controversial due to widely variable clinician opinions. However, there is little research regarding the use of PEH reduction and gastropexy via a percutaneous endoscopic gastrostomy (PEG) tube. Guidelines by the Society of American Gastrointestinal and Endoscopic Surgeons do advise that the use of gastropexy alone is a valid option in patients with high risk of morbidity and mortality, but is associated with high hernia recurrence rates. A male in his early 90s presented with a six-week history of dysphagia, regurgitation and a 30- pound weight loss. Imaging revealed a large PEH and the entire stomach within the thoracic cavity. Despite the patient's age and significant risk factors, it was determined that he required surgical intervention due to the severity of his symptoms. The safest course of action was reduction of PEH with two-point gastric fixation, rather than a prolonged repair of the hiatus or mesh implant. Due to the patient's significant surgical risks, it was determined that the safest surgical approach would be laparoscopic reduction with dual gastropexy via PEG tube gastropexy. This approach was quick, without encroachment into the mediastinum and avoided any complications that mesh implantation could have posed. Gastropexy is a relatively simple technique with minimal tissue dissection that is tolerated well in elderly patients or those with decreased cardiac and pulmonary status. Regardless of the surgical PEH approach, there are inherent hernia recurrence rates.

Indexed as

gastropexyparaesophageal hernia reductionpercutaneous endoscopic gastrostomy (peg) tube

Identifiers

PMID33655117
PMCPMC7746099
OpenAlexW3130269880

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.