Skip to main navigation Skip to search Skip to main content

Effect of Using Peptide as a Replacement of Antibiotic Growth Promoters on Pigs: a Systematic Review and Meta-regression

  • Danung Nur Adli*
  • , Muhammad Miftakhus Sholikin
  • , Novia Qomariyah
  • , Tri Rachmanto Prihambodo
  • , Osfar Sjofjan
  • , Cecep Hidayat
  • , Sadarman Sadarman
  • , Rizki Amalia Nurfitriani
  • , Anuraga Jayanegara
  • , Rondius Solfaine
  • , Nahrowi Nahrowi
  • *Corresponding author for this work

Research output: Contribution to journal › Review article › peer-review

Abstract

A systematic review and meta-regression were done to investigate the effect of using peptide as a replacement of antibiotic growth promoters on pig. A dataset was created based on an algorithm for peer-reviewed articles published from 2004 to 2019. The peer-reviewed published articles were evalu-ated strictly following the eligibility criteria for inclusion. Meta-regression was performed using a non-linear mixed model library provided by R Studio 4.1.1 software. A structure algorithm was constructed using ‘magick’, ‘ggplot’, ‘ggplot2’ and ‘cowplot’ add-ons to create a meta-regression. In this study, meta-regression between year of publication and number of pigs included in the experiments was associated with growth performance and diarrhea with p = 0.032 and p < 0.163, respectively. Meanwhile, the source of peptide intercepts for these parameters were 38.33 (p = 0.052) and 48.44 (p = < 0.071), re-spectively. The scientific evidence from the meta-analysis based on the in-vivo studies demonstrates that both form and dosage of the anti-microbial have a beneficial effect on pigs.

Original languageEnglish
Pages (from-to)29-35
Number of pages7
JournalJournal of Advanced Veterinary Research
Volume12
Issue number1
Publication statusPublished - Jan 2022

Keywords

  • Meta-regression
  • Peptide
  • Pig
  • Systematic review

Fingerprint

Dive into the research topics of 'Effect of Using Peptide as a Replacement of Antibiotic Growth Promoters on Pigs: a Systematic Review and Meta-regression'. Together they form a unique fingerprint.

Cite this