Evidence map›Paper›PMID 30587891›Full record

ArticleVeterinary world2018

A M Nabih, Hany A Hussein, Safaa A El-Wakeel, Khaled A Abd El-Razik, A M Gomaa

Open access · goldAbstract read
In one paragraph

Article in Veterinary world, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

6 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
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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

5 authors at 1 institution in 1 country.

A M NabihDepartment of Mastitis and Neonatal Diseases, Animal Reproduction Research Institute, Agriculture Research Center, Giza, Egypt.
Hany A HusseinDepartment of Animal Reproduction and AI, Veterinary Research Division, National Research Centre, Dokki, Giza, Egypt.
Safaa A El-WakeelDepartment of Mastitis and Neonatal Diseases, Animal Reproduction Research Institute, Agriculture Research Center, Giza, Egypt.
Khaled A Abd El-RazikDepartment of Animal Reproduction and AI, Veterinary Research Division, National Research Centre, Dokki, Giza, Egypt.
A M GomaaDepartment of Mastitis and Neonatal Diseases, Animal Reproduction Research Institute, Agriculture Research Center, Giza, Egypt.
National Research Centre · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimMastitis is an important threat facing goat milk industry and is the most common cause of culling. Efficient control of mastitis, based on efficient diagnosis of diseased animals, would improve milk production and reproductive efficiency. In subclinical mastitis (SCM), infected goats demonstrate neither udder symptoms nor abnormal milk. MATERIALS AND

methodsA total of 336 half milk samples were collected from 177 dairy goats of various crossbreeds, in mid-to-late lactation period, after clinical examination. All samples were examined bacteriologically, while somatic cell count (SCC) was determined only in 180 half milk samples of the clinically healthy milk samples. The isolated and identified

resultsThe prevalence of clinical mastitis was 30.5%, while 69.5% of animals were apparently healthy and secreted milk was normal. Of those 180 clinically healthy half milk samples, 96 milk samples (53.33%) showed SCM as detected by SCC (SCC ≥1,000,000 cells/ml). Coagulase-negative staphylococci were the most prevalent bacteria (41.96%), then

conclusion

Indexed as

bacteriological investigationcaprineCorynebacterium pseudotuberculosismastitisphospholipase Dβ-subunit of RNA polymerase

Identifiers

PMID30587891
PMCPMC6303489
OpenAlexW2978304294

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.