Evidence map›Paper›PMID 37601763›Full record

ArticleFrontiers in veterinary science2023

Effects of graded levels of dietary protein supplementation on milk yield, body weight gain, blood biochemical parameters, and gut microbiota in lactating ewes.

Xiaoqi Zhao, Sikandar Ali, Mohammad Farooque Hassan, Muhammad Amjad Bashir, Xiaojun Ni, Chunrong Lv, Hongyuan Yang, Baiji Danzeng, Guobo Quan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 9 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

9 authors at 3 institutions in 2 countries.

Xiaoqi Zhao *The Small Ruminant Department, Yunnan Animal Science and Veterinary Institute, Kunming, Yunnan, China.
Sikandar Ali *The Small Ruminant Department, Yunnan Animal Science and Veterinary Institute, Kunming, Yunnan, China.
Mohammad Farooque HassanDepartment of Animal Nutrition, Shaheed Benazir Bhutto University of Veterinary and Animal Sciences, Sakrand, Sindh, Pakistan.
Muhammad Amjad BashirDepartment of Plant Protection, Faculty of Agricultural Sciences, Ghazi University, Dera Ghazi Khan, Punjab, Pakistan.
Xiaojun NiThe Small Ruminant Department, Yunnan Animal Science and Veterinary Institute, Kunming, Yunnan, China.
Chunrong LvThe Small Ruminant Department, Yunnan Animal Science and Veterinary Institute, Kunming, Yunnan, China.
Hongyuan YangThe Small Ruminant Department, Yunnan Animal Science and Veterinary Institute, Kunming, Yunnan, China.
Baiji DanzengThe Small Ruminant Department, Yunnan Animal Science and Veterinary Institute, Kunming, Yunnan, China.
Guobo QuanThe Small Ruminant Department, Yunnan Animal Science and Veterinary Institute, Kunming, Yunnan, China.
Yunnan Animal Science and Veterinary Institute · CNGhazi University · PKShaheed Benazir Bhutto University · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diet-associated characteristics such as dietary protein levels can modulate the composition and diversity of the gut microbiota, leading to effects on the productive performance and overall health of animals. The objective of this study was to see how changes in dietary protein levels affect milk yield, body weight gain, blood biochemical parameters, and gut microbiota in lactating ewes. In a completely randomized design, eighteen ewes were randomly assigned to three groups (

Indexed as

blood biochemical parametersdietary proteinfecal microbiomeslactating ewesmilk yieldweight gain

Identifiers

PMID37601763
PMCPMC10435659
OpenAlexW4385557074

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.