Evidence map›Paper›PMID 36578308›Full record

ArticleFrontiers in neurology2022

Altered functional hubs and connectivity in type 2 diabetes mellitus with and without mild cognitive impairment.

Yang Huang, Dongsheng Zhang, Xin Zhang, Miao Cheng, Zhen Yang, Jie Gao, Min Tang, Kai Ai, Xiaoyan Lei, Xiaoling Zhang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
0.2field-weighted citation impact, top 48% 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. 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

10 authors at 1 institution in 1 country.

Yang HuangDepartment of MRI, Shaanxi Provincial People's Hospital, Xi'an, China.
Dongsheng ZhangDepartment of MRI, Shaanxi Provincial People's Hospital, Xi'an, China.
Xin ZhangDepartment of MRI, Shaanxi Provincial People's Hospital, Xi'an, China.
Miao ChengDepartment of MRI, Shaanxi Provincial People's Hospital, Xi'an, China.
Zhen YangDepartment of MRI, Shaanxi Provincial People's Hospital, Xi'an, China.
Jie GaoDepartment of MRI, Shaanxi Provincial People's Hospital, Xi'an, China.
Min TangDepartment of MRI, Shaanxi Provincial People's Hospital, Xi'an, China.
Kai AiDepartment of Clinical and Technical Support, Philips Healthcare, Xi'an, China.
Xiaoyan LeiDepartment of MRI, Shaanxi Provincial People's Hospital, Xi'an, China.
Xiaoling ZhangDepartment of MRI, Shaanxi Provincial People's Hospital, Xi'an, China.
Shanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cognitive impairment in type 2 diabetes mellitus (T2DM) is associated with functional and structural abnormalities of brain networks, especially the damage to hub nodes in networks. This study explored the abnormal hub nodes of brain functional networks in patients with T2DM under different cognitive states. Sixty-five patients with T2DM and 34 healthy controls (HCs) underwent neuropsychological assessment. Then, degree centrality (DC) analysis and seed-based functional connectivity (FC) analysis were performed to identify the abnormal hub nodes and the FC patterns of these hubs in T2DM patients with mild cognitive impairment (MCI) (DMCI group,

Indexed as

degree centralityfunctional connectivityneuroimagingresting-state functional magnetic resonance imagingtype 2 diabetes mellitus

Identifiers

PMID36578308
PMCPMC9792165
OpenAlexW4312123372

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.