Evidence map›Paper›PMID 34428939›Full record

ReviewJournal of feline medicine and surgery2021

Feline abdominal ultrasonography: What's normal? What's abnormal? Abdominal lymph nodes, peritoneal cavity and aorta.

Sally Griffin

Open access · greenAbstract readReview
In one paragraph

Review in Journal of feline medicine and surgery, 2021. 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
0.1field-weighted citation impact, top 48% 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, 7 citations in OpenAlex.

  1. Article
  2. Article
  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

1 author at 1 institution in 1 country.

Sally GriffinRadiology Department, Willows Veterinary Centre and Referral Service, Highlands Road, Shirley, Solihull B90 4NH, UK.
Willows Veterinary Centre and Referral Service · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

practical relevanceAbdominal ultrasound plays a vital role in the diagnostic work-up of many cats presenting to general and specialist practitioners. Ultrasound examination of the lymph nodes, peritoneal cavity and abdominal vasculature provides important information useful in the investigation of a number of conditions, including aortic thromboembolism. CLINICAL CHALLENGES: Despite ultrasonography being a commonly used modality, many practitioners are not comfortable performing an ultrasound examination or interpreting the resulting images. Even for the experienced ultrasonographer, differentiating between incidental findings such as Bates bodies and pathological changes can be challenging.

aimThis review, the last in an occasional series on feline abdominal ultrasonography, discusses ultrasound examination of the abdominal lymph nodes and peritoneal cavity, and also the role of the technique in identifying thromboembolism of the aorta. Aimed at general practitioners who wish to improve their knowledge of and confidence in feline abdominal ultrasound, this review is accompanied by high-resolution images and videos available online as supplementary material. EQUIPMENT: Ultrasound facilities are readily available to most practitioners, although the use of ultrasonography as a diagnostic tool is highly dependent on operator experience. EVIDENCE BASE: Information provided in this article is drawn from the published literature and the author's own clinical experience.

Indexed as

AbdomenPeritoneal CavityAnimalsAortaCatsLymph NodesUltrasonographyBates bodycarcinomatosislymphadenopathylymphomanodular fat necrosisthromboemboliUltrasound

Identifiers

PMID34428939
PMCPMC10812149
OpenAlexW3195691696

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.