Evidence map›Paper›PMID 36588141›Full record

ArticleSurgical case reports2023

Primary upper lumbar hernia repaired by transabdominal preperitoneal approach technique using a self-expanding mesh with a memory-recoil ring, report of a case.

Reika Yamashita, Katsuhito Suwa, Tomoyoshi Okamoto, Ken Eto

Open access · goldAbstract read
In one paragraph

Article in Surgical case reports, 2023. 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
0.6field-weighted citation impact, top 34% 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, 2 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

4 authors at 1 institution in 1 country.

Reika YamashitaDepartment of Surgery, The Jikei University Daisan Hospital, Komae-shi, Tokyo, Japan. h23ms-yamashita-reika@jikei.ac.jp.
Katsuhito SuwaDepartment of Surgery, The Jikei University Daisan Hospital, Komae-shi, Tokyo, Japan.
Tomoyoshi OkamotoDepartment of Surgery, The Jikei University Daisan Hospital, Komae-shi, Tokyo, Japan.
Ken EtoDepartment of Digestive Surgery, The Jikei University Hospital, Komae-shi, Tokyo, Japan.
The Jikei University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUpper lumber hernia is a rare entity which can cause obstruction and strangulation. Laparoscopic technique has been considered effective for such hernia repairs; however, there is no report of use of the self-expanding mesh. CASE PRESENTATION: A 77-year-old woman visited to our hospital complaining of a bulge of about 5 cm in the left lumbar dorsal region while standing. Abdominal CT and MRI scans showed a fascial defect in the left lumbar abdominal wall and confirmed the presence of a hernia, in which retroperitoneal fatty tissue and the descending colon protruded. Transabdominal preperitoneal repair (TAPP) was performed and the operative findings revealed the hernia orifice, 3 × 2.5 cm in diameter, between two intercostal nerves. To avoid nerve injury or entrapment, the number of mesh fixation was desirable minimum; therefore, a self-expanding mesh with a memory-recoil ring was used. The mesh, 9.5 × 13 cm in diameter, was placed and tacked to the abdominal wall at two points, 1 cm ventral and dorsal to the hernia orifice. The postoperative course was uneventful and no pain or recurrence was observed with follow-up of 6 months.

conclusionWe herein present a case of upper lumber hernia successfully repaired by TAPP with a self-expanding mesh.

Indexed as

Self-expanding meshTransabdominal preperitoneal repair (TAPP)Upper lumber hernia

Identifiers

PMID36588141
PMCPMC9805984
OpenAlexW4313380507

What OpenQuestion holds

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LicenceCC BY
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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.