Evidence map›Paper›PMID 34475712›Full record

ArticleVeterinary world2021

Clinical, ultrasonographic, and postmortem findings in sheep and goats with urinary tract disorders.

Mohamed Tharwat

Open access · goldAbstract read
In one paragraph

Article in Veterinary world, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

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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 2 countries.

Mohamed TharwatDepartment of Veterinary Medicine, College of Agriculture and Veterinary Medicine, Qassim University, P.O. Box 6622, Buraidah, 51452, Saudi Arabia.
Qassim University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimIn sheep and goats, most urinary disorders are incidental findings at the postmortem examination and do not present clinically. As such, the diagnosis of renal diseases in sheep and goats can be overlooked. Therefore, this study was carried out on sheep and goats to describe the clinical, ultrasonography(USG), and postmortem findings of various disorders affecting the urinary tract. MATERIALS AND

methodsA total of 58 animals (30 sheep and 28 goats) were examined, as well as were ten healthy control animals (five sheep and five goats) for a comparison. The animals were referred for various causes, including anorexia, frequent and painful urination, hematuria, decreased body weight, oliguria, and anuria.

resultsThe sheep and goats were categorized into ten groups of symptoms and disorders: Pelvic abscessation, pigmented urine, renal failure, pyelonephritis, cystitis, hydronephrosis, rupture of the urethra, rupture of the urinary bladder, rupture of the urinary bladder together with the urethra, and paralysis of the urinary bladder. Clinical presentation, USG, and postmortem examination results for each group were detailed. Many clinical presentations were nonspecific. USG examination of the urinary tract significantly facilitated the verification of the previously mentioned disorders.

conclusionUSG demonstrated superior performance in the early and confirmatory diagnosis of urinary disorders in sheep and goats. Therefore, it is recommended that routine USG be the preferred imaging modality for examining sheep and goats with urinary disorders and for determining their prognosis.

Indexed as

goatpathologysheepultrasonographyurinary

Identifiers

PMID34475712
PMCPMC8404122
OpenAlexW3185961636

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.