Evidence map›Paper›PMID 33952570›Full record

ArticleBMJ case reports2021

Massive traumatic abdominal wall hernia with significant tissue loss: challenges in management.

Graham Skelhorne-Gross, Jordan Nantais, Noah Ditkofsky, David Gomez

Open access · greenAbstract readCase Reports
In one paragraph

Article in BMJ case reports, 2021. 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
0.2field-weighted citation impact, top 49% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

4 authors at 2 institutions in 1 country.

Graham Skelhorne-GrossDepartment of Surgery, Division of General Surgery, University of Toronto, Toronto, Ontario, Canada.
Jordan NantaisDepartment of Surgery, Division of General Surgery, University of Manitoba, Winnipeg, Manitoba, Canada.
Noah DitkofskyDepartment of Radiology, Division of Emergency, Trauma and Acute Care Imaging, University of Toronto Faculty of Medicine, Toronto, Ontario, Canada.
David GomezDepartment of Surgery, Division of General Surgery, University of Toronto, Unity Health Toronto, Toronto, Ontario, Canada David.Gomez@unityhealth.to.
University of Toronto · CAUniversity of Manitoba · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 41-year-old woman presented to our trauma centre following a high-speed motor vehicle collision with a seatbelt pattern of injury resulting in extensive rupture of her abdominal wall musculature and associated hollow viscus injuries. The abdominal wall had vertical separation between transected rectus, bilateral transverse abdominis and oblique muscles allowing evisceration of small and large bowel into the flanks without skin rupture. Intraoperatively, extensive liquefaction and tissue loss of the abdominal wall was found with significant retraction of the remaining musculature. Initial operative management focused on repair of concomitant intra-abdominal injuries with definitive repair performed in delayed, preplanned stages including bridging with absorbable mesh and placement of an overlying split-thickness skin graft. The patient was discharged from hospital and underwent extensive rehabilitation. One year later, the abdominal wall was definitively repaired with components separation and biological mesh underlay. This stepwise repair process provided her with a robust and enduring abdominal wall reconstruction.

Indexed as

Abdominal InjuriesAbdominal WallHernia, VentralAbdominal MusclesAdultFemaleHumansSurgical Meshgeneral surgerytrauma

Identifiers

PMID33952570
PMCPMC8103389
OpenAlexW3158850682

What OpenQuestion holds

Textmetadata
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.