Evidence map›Paper›PMID 23115369›Full record

ArticleThe Canadian veterinary journal = La revue veterinaire canadienne2012

Clinical, ultrasonographic, and pathologic findings in 70 camels (Camelus dromedarius) with Johne's disease.

Mohamed Tharwat, Fahd Al-Sobayil, Ahmed Ali, Mahmoud Hashad, Sébastien Buczinski

Open access · greenAbstract read
In one paragraph

Article in The Canadian veterinary journal = La revue veterinaire canadienne, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

20 citing papers in PubMed, 30 citations in OpenAlex.

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  15. Sero-surveillance ofJournal of advanced veterinary and animal research · 2020
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  16. Frontiers in veterinary science · 2020
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  17. Review
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  19. Transabdominal ultrasonographic findings in goats with paratuberculosis.The Canadian veterinary journal = La revue veterinaire canadienne · 2012
    Article
  20. 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

5 authors at 1 institution in 1 country.

Mohamed TharwatDepartment of Veterinary Medicine, College of Agriculture and Veterinary Medicine, Qassim University, Saudi Arabia.
Fahd Al-Sobayil
Ahmed Ali
Mahmoud Hashad
Sébastien Buczinski
Qassim University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study evaluated the use of ultrasonography for the diagnosis of Johne's disease in camels (Camelus dromedarius). Seventy camels with confirmed Johne's disease were examined by ultrasonography and subsequent necropsy; 15 healthy camels were included as controls. The most outstanding findings were visible enlargement of the mesenteric lymph nodes in 52 (74%) camels. Lesions had either echogenic (26%; n = 18) or anechoic (69%; n = 48) capsule and the contents were either anechoic (21%; n = 15), echogenic (27%; n = 19), or heterogeneous (46%; n = 32). Clumps of echogenic tissue interspersed with fluid pockets were imaged between the intestinal loops in 9 (13%) camels. There was mild, moderate, or severe thickening and corrugation of the intestinal wall, excessive anechoic fluid in the abdominal cavity in 18 (26%) camels, increased hepatic brightness in 30 (43%) camels, and pericardial and pleural effusions in 22 (31%) camels. Sensitivity values for detecting intestinal lesions and enlarged mesenteric lymph nodes were 95% and 84%, respectively.

Indexed as

CamelusAnimalsDNA, BacterialFemaleLymph NodesMaleMycobacterium avium subsp. paratuberculosisParatuberculosisUltrasonographyDNA, Bacterial

Identifiers

PMID23115369
PMCPMC3327595
OpenAlexW2137894926

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.