Evidence map›Paper›PMID 34204107›Full record

ArticleVeterinary sciences2021

Surrogate Indexes of Insulin Resistance in Dairy Goats: Transitional Variation in Subclinical Hyperketonemia.

Siqi Liu, Yezi Kong, Jing Wen, Yan Huang, Yaoquan Liu, Xiaoyan Zhu, Baoyu Zhao, Binyun Cao, Jianguo Wang

Open access · goldAbstract read
In one paragraph

Article in Veterinary sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 1 institution in 1 country.

Siqi LiuCollege of Veterinary Medicine, Northwest A&F University, Yangling 712100, China.
Yezi KongCollege of Veterinary Medicine, Northwest A&F University, Yangling 712100, China.
Jing WenCollege of Animal Science and Technology, Northwest A&F University, Yangling 712100, China.
Yan HuangCollege of Veterinary Medicine, Northwest A&F University, Yangling 712100, China.
Yaoquan LiuCollege of Veterinary Medicine, Northwest A&F University, Yangling 712100, China.
Xiaoyan ZhuCollege of Veterinary Medicine, Northwest A&F University, Yangling 712100, China.
Baoyu ZhaoCollege of Veterinary Medicine, Northwest A&F University, Yangling 712100, China.
Binyun CaoCollege of Animal Science and Technology, Northwest A&F University, Yangling 712100, China.
Jianguo WangCollege of Veterinary Medicine, Northwest A&F University, Yangling 712100, China.ORCID 0000-0003-2273-2539
Northwest A&F University · CN

Funding

Key Research and Development Projects of Shaanxi Province 2019NY-075, NYKJ-2019-YL21National Natural Science Foundation of China 31873032
6 · The paper itself

Abstract

backgroundDairy goats are highly susceptible to subclinical hyperketonemia (SCHK) during the transition period. This study aimed to compare the variation in metabolic parameters and surrogate indexes of insulin resistance (sIR) between goats with SCHK and clinically healthy (HEAL) goats during the transition period.

methodsTwenty Guanzhong dairy goats were assorted to HEAL (

resultsCompared with the HEAL goats, the insulin concentrations were significantly higher in SCHK goats during the first three weeks postpartum. The QUICKI, revised QUICKI (RQUICKI), and RQUICKI

conclusionGoats with SCHK made more efforts through elevated insulin levels at early lactation than HEAL goats, thereby maintaining the normal glucose concentrations.

Indexed as

dairy goatinsulin resistancesubclinical hyperketonemiasurrogate indextransition period

Identifiers

PMID34204107
PMCPMC8227330
OpenAlexW3171312982

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.