Evidence map›Paper›PMID 29056698›Full record

ArticleVeterinary sciences2017

Correlation between Preoperative Ultrasonographic Findings and Clinical, Intraoperative, Cytopathological, and Histopathological Diagnosis of Acute Abdomen Syndrome in 50 Dogs and Cats.

Ahmed Abdellatif, Martin Kramer, Klaus Failing, Kerstin von Pückler

Open access · goldAbstract read
In one paragraph

Article in Veterinary sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 100% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. 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 2 institutions in 2 countries.

Ahmed AbdellatifDepartment of Veterinary Clinical Science, Clinic for Small Animals (Surgery), Justus-Liebig University (JLU), 35392 Gießen, Germany. Ahmed.F.Abdellatif@vetmed.uni-giessen.de.
Martin KramerDepartment of Veterinary Clinical Science, Clinic for Small Animals (Surgery), Justus-Liebig University (JLU), 35392 Gießen, Germany. Martin.Kramer@vetmed.uni-giessen.de.
Klaus FailingUnit for Biomathematics and Data Processing, Veterinary Faculty, Justus-Liebig University (JLU), Gießen 35392, Germany. Klaus.Failing@vetmed.uni-giessen.de.
Kerstin von PücklerDepartment of Veterinary Clinical Science, Clinic for Small Animals (Surgery), Justus-Liebig University (JLU), 35392 Gießen, Germany. Kerstin.H.Pueckler@vetmed.uni-giessen.de.
University of Giessen · DEAssiut University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute abdomen syndrome is an emergency in small animal practice that requires rapid diagnosis to determine the appropriate treatment. No studies have correlated the preoperative abdominal ultrasonography (US) findings with the clinical, surgical, cytopathologic, and histopathologic findings. This retrospective study was designed to evaluate abdominal US in the diagnosis of acute abdomen syndrome using surgery as a "criterion standard". The most frequently misinterpreted lesions with US were also identified. The study included 50 dogs and cats with physical examination, an US diagnosis, US guided fine-needle aspiration cytology, intraoperative findings, and histopathology. Intraoperatively, 49 primary and 43 secondary lesions were identified. The sensitivity, specificity, and positive and negative predictive values for US were calculated. There was a good agreement between the US diagnosis and intraoperative findings of 86.9% (80/92), for both primary and secondary lesions (

Indexed as

acute abdomencatdoglaparotomyultrasonography

Identifiers

PMID29056698
PMCPMC5644663
OpenAlexW1962707200

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.