Evidence map›Paper›PMID 39439555›Full record

ArticleCRSLS : MIS case reports from SLS

Robotic-Assisted Laparoscopic Epiphrenic Esophageal Diverticulectomy with Myotomy.

Najiha Farooqi, Olivia Lossia, Felipe Pacheco, Samuel Shaheen, Maher Ghanem

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in CRSLS : MIS case reports from SLS. 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
–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. 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

5 authors.

Najiha FarooqiDepartment of Surgery, Central Michigan University, Saginaw, MI. (Drs. Farooqi, Lossia, Pacheco, Shaheen, and Ghanem).
Olivia LossiaDepartment of Surgery, Central Michigan University, Saginaw, MI. (Drs. Farooqi, Lossia, Pacheco, Shaheen, and Ghanem).
Felipe PachecoDepartment of Surgery, Central Michigan University, Saginaw, MI. (Drs. Farooqi, Lossia, Pacheco, Shaheen, and Ghanem).
Samuel ShaheenDepartment of Surgery, Central Michigan University, Saginaw, MI. (Drs. Farooqi, Lossia, Pacheco, Shaheen, and Ghanem).
Maher GhanemDepartment of Surgery, Central Michigan University, Saginaw, MI. (Drs. Farooqi, Lossia, Pacheco, Shaheen, and Ghanem).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: A large epiphrenic esophageal diverticulum can cause troublesome symptoms for patients, including dysphagia and reflux, ultimately, leading to debilitating weight loss. Case Description/Technique Description: We present a case of a 68-year-old female with a history of systemic lupus erythematosus presented with a large epiphrenic esophageal diverticulum with dysphagia, gastroesophageal reflux disease, and associated weight loss. The patient underwent a robotic-assisted laparoscopic epiphrenic diverticulectomy with esophageal myotomy. Intraoperative findings were consistent with epiphrenic esophageal diverticulum 7.5 × 6.0 × 4.0 cm with severe adhesions to the pericardium and pleura bilaterally. The diverticulum was transected using a stapler, and a myotomy was performed on the opposite side of the diverticulectomy. The patient tolerated the surgery without complication and was discharged home on postoperative day 5. Pathology was consistent with moderate chronic inflammation. Discussion: The robotic trans hiatal approach offers a safe alternative to the transthoracic approach for the surgical management of epiphrenic diverticula.

Indexed as

Diverticulum, EsophagealLaparoscopyMyotomyRobotic Surgical ProceduresAgedDeglutition DisordersFemaleGastroesophageal RefluxHumansEpiphrenic diverticulumMinimally invasive surgeryRobotic epiphrenic diverticulectomy

Identifiers

PMID39439555
PMCPMC11495856

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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.