Evidence map›Paper›PMID 37786734›Full record

ArticleIbrain2022

Brain structure analysis of different age groups of Diannan small-ear pigs.

Yi-Fan Liu, Chang-Le Fang, Yu Pi, Teng-Fei Ke, Ji-Xiang Chu, Lin-Na Tang, Lan-Chun Zhang, Somjit Wanchana, Cheng-De Liao

Open access · goldAbstract read
In one paragraph

Article in Ibrain, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 57% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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 3 institutions in 2 countries.

Yi-Fan LiuDepartment of Radiology, The Third Affiliated Hospital of Kunming Medical University Yunnan Cancer Hospital Kunming China.
Chang-Le FangSchool of Anesthesiology Southwest Medical University Luzhou China.ORCID 0000-0003-4434-0464
Yu PiSchool of Anesthesiology Southwest Medical University Luzhou China.ORCID 0000-0002-2499-7605
Teng-Fei KeDepartment of Radiology, The Third Affiliated Hospital of Kunming Medical University Yunnan Cancer Hospital Kunming China.
Ji-Xiang ChuDepartment of Radiology, The Third Affiliated Hospital of Kunming Medical University Yunnan Cancer Hospital Kunming China.
Lin-Na TangSchool of Anesthesiology Southwest Medical University Luzhou China.ORCID 0000-0003-1603-0485
Lan-Chun ZhangDepartment of Laboratory Animal, Institute of Neuroscience Kunming Medical University Kunming China.
Somjit WanchanaBoromarajonani College of Nursing Ratchaburi Thailand.
Cheng-De LiaoDepartment of Radiology, The Third Affiliated Hospital of Kunming Medical University Yunnan Cancer Hospital Kunming China.
Kunming Medical University · CNSouthwest Medical University · CNBoromarajonani College of Nursing · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of the study is to investigate the brain development and atrophy of Diannan small-ear pigs in different ages using magnetic resonance imaging (MRI). A total of 12 Diannan small-ear pigs were included and divided into the young group, adult group, and middle-and-old age (M&O) group according to their age. The brain structure of pigs was scanned using MRI, and the brain data obtained were statistically analyzed by signal conversion and image reconstruction. Compared with the young group, the signals of most brain structures in the adult group and M&O group were significantly decreased (

Indexed as

brain structureDiannan small‐ear pigmagnetic resonance imaging

Identifiers

PMID37786734
PMCPMC10528979
OpenAlexW4291227562

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.