Evidence map›Paper›PMID 33720539›Full record

ArticleVeterinary medicine and science2021

Impacts of Microbial based Therapy on Growth Performance, Intestinal Health, Carcass Traits and Economic Efficiency of Clostridium perfringens-Infected Cobb and Arbor Acres Broilers.

Eman A Sallam, Liza S Mohammed, Sawsan S Elbasuni, Aya E Azam, Mohamed Mohamed Soliman

Open access · goldAbstract read
In one paragraph

Article in Veterinary medicine and science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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  7. Frontiers in microbiology · 2021
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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 2 institutions in 2 countries.

Eman A SallamAnimal and Poultry Production, Animal Wealth Development Department, Faculty of Veterinary Medicine, Benha University, Benha, Egypt.ORCID 0000-0001-7017-6077
Liza S MohammedVeterinary Economics and Farm Management, Animal Wealth Development Department, Faculty of Veterinary Medicine, Benha University, Benha, Egypt.ORCID 0000-0003-1172-0823
Sawsan S ElbasuniAvian and Rabbit diseases Department, Faculty of Veterinary Medicine, Benha University, Benha, Egypt.
Aya E AzamAnimal Hygiene and Veterinary Management, Faculty of Veterinary Medicine, Benha University, Benha, Egypt.ORCID 0000-0002-1988-9933
Mohamed Mohamed SolimanClinical Laboratory Sciences Department, Turabah University College, Taif University, Taif, Saudi Arabia.ORCID 0000-0001-7208-7123
Benha University · EGTaif University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The poultry farms need a safe and effective alternative for antibiotics that can counteract the negative impacts of necrotic enteritis (NE), which causes severe mortalities and economic losses. The current study was aimed to examine the influence of antibiotic (Flagymox) and the microbial-based administration on carcass traits in Clostridium (C.) perfringens-infected Cobb and Arbor Acres broilers. A total number of 360 Cobb and Arbor Acres broiler chicks (180 numbers per breed) were allocated to four groups; negative control group (without any treatments); positive control group (administration of C. perfringens at the rate of 1 × 10

Indexed as

Animal HusbandryAnimalsAnti-Bacterial AgentsChickensClostridium InfectionsClostridium perfringensIntestinesMeatPoultry DiseasesAnti-Bacterial Agentsbroilerscarcass traitsgrowth performanceintestinal healthmicrobial-based therapy

Identifiers

PMID33720539
PMCPMC8136931
OpenAlexW3139454208

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.