Evidence map›Paper›PMID 41613008›Full record

ArticleJournal of abdominal wall surgery : JAWS2025

The Local Parastomal Hernia (LoPa) Repair: A Novel Approach to Parastomal Hernia Repair.

Ali Al Mukhtar, Agneta Montgomery, Kristin Johnson, Peder Rogmark, Stefan Öberg, Tomas Vedin, Ulf Petersson, Marie-Louise Lydrup

Abstract read
In one paragraph

Article in Journal of abdominal wall surgery : JAWS, 2025. 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

8 authors.

Ali Al Mukhtar *Department of Clinical Sciences, Faculty of Medicine, Lund University, Malmö, Sweden.
Agneta Montgomery *Department of Clinical Sciences, Faculty of Medicine, Lund University, Malmö, Sweden.
Kristin JohnsonDepartment of Translational Medicine, Radiology Diagnostics, Lund University, Malmö, Sweden.
Peder RogmarkDepartment of Clinical Sciences, Faculty of Medicine, Lund University, Malmö, Sweden.
Stefan ÖbergDepartment of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden.
Tomas VedinDepartment of Clinical Sciences, Faculty of Medicine, Lund University, Malmö, Sweden.
Ulf PeterssonDepartment of Clinical Sciences, Faculty of Medicine, Lund University, Malmö, Sweden.
Marie-Louise LydrupDepartment of Clinical Sciences, Faculty of Medicine, Lund University, Malmö, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Surgical repair of parastomal hernias (PH) is challenging, mainly due to high recurrence rates. The Local Parastomal repair (LoPa) is a novel technique utilizing a retromuscular synthetic mesh with an outward-facing collar. This study describes the LoPa technique and evaluates its outcomes. Methods: This single-centre study retrospectively reviewed 39 consecutive patients who underwent LoPa repair for a PH between 2017 and 2021. Long-term follow-up, including physical examination and quality of life assessment, was conducted. The primary outcome was PH recurrence diagnosed clinically or by CT scan. Results: For the 39 patients included, the mean age and BMI were 71 years and 27 kg/m Conclusion: The LoPa technique is a safe and feasible PH repair, offering low short-term morbidity and a short length of stay. It is an option for repairing isolated PH, especially in patients with comorbidities. While the 33.3% recurrence rate is a concern, it is comparable to other techniques with similar follow-up. These preliminary findings warrant validation in larger prospective trials.

Indexed as

herniameshparastomal herniaparastomal hernia repairtechnique

Identifiers

PMID41613008
PMCPMC12847062

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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.