Evidence map›Paper›PMID 37663025›Full record

ArticleThe Canadian veterinary journal = La revue veterinaire canadienne2023

Outcomes following combined median sternotomy and ventral midline laparotomy for bicavitary penetrating wooden foreign bodies.

Teagan L DeForge, Ameet Singh, Ryan Appleby, Xiu Ting Yiew, Alexa M Bersenas

Open access · greenAbstract readCase Reports
In one paragraph

Article in The Canadian veterinary journal = La revue veterinaire canadienne, 2023. 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, top 71% 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, 0 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

5 authors at 1 institution in 1 country.

Teagan L DeForgeDepartment of Clinical Sciences, Ontario Veterinary College, University of Guelph, 28 College Avenue West, Guelph, Ontario N1G 2W1.
Ameet SinghDepartment of Clinical Sciences, Ontario Veterinary College, University of Guelph, 28 College Avenue West, Guelph, Ontario N1G 2W1.
Ryan ApplebyDepartment of Clinical Sciences, Ontario Veterinary College, University of Guelph, 28 College Avenue West, Guelph, Ontario N1G 2W1.
Xiu Ting YiewDepartment of Clinical Sciences, Ontario Veterinary College, University of Guelph, 28 College Avenue West, Guelph, Ontario N1G 2W1.
Alexa M BersenasDepartment of Clinical Sciences, Ontario Veterinary College, University of Guelph, 28 College Avenue West, Guelph, Ontario N1G 2W1.
University of Guelph · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Combined abdominal and thoracic pathology caused by extra-gastrointestinal migration of an ingested wooden foreign body (WFB) is an uncommon but serious injury. Presenting clinical signs are typically nonspecific and, in the absence of observed WFB ingestion, diagnosis is challenging. Treatment requires concurrent abdominal and thoracic surgical exploration to remove the WFB and address injuries caused by its migration. This case series describes perioperative characteristics and outcomes in 4 dogs following combined median sternotomy and ventral midline laparotomy (CMSVML) for bicavitary penetrating WFBs. Key clinical message: Treatment of bicavitary penetrating WFBs with CMSVML provided postoperative outcomes similar to those in previous reports; however, high-grade complications and prolonged hospitalization were commonly encountered.

Indexed as

Dog DiseasesForeign BodiesAnimalsDogsLaparotomySternotomy

Identifiers

PMID37663025
PMCPMC10426240
OpenAlexW4386407941

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.