Evidence map›Paper›PMID 38274503›Full record

ArticleFrontiers in neuroscience2023

3.0 T multi-parametric MRI reveals metabolic and microstructural abnormalities in the posterior visual pathways in patients with thyroid eye disease.

Lan Luo, Liling Zhang, Huaidong Huang, Jitian Guan, Xiaolei Zhang, Yan Lin, Renhua Wu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.1field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 6 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

7 authors at 3 institutions in 1 country.

Lan LuoRadiology Department, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong Province, China.
Liling ZhangEndocrinology Department, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong Province, China.
Huaidong HuangRadiology Department, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong Province, China.
Jitian GuanRadiology Department, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong Province, China.
Xiaolei ZhangRadiology Department, Huizhou Central People's Hospital, Huizhou, Guangdong Province, China.
Yan LinRadiology Department, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong Province, China.
Renhua WuRadiology Department, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong Province, China.
Second Affiliated Hospital of Shantou University Medical College · CNHuizhou Central People's Hospital · CNShantou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: We aim to explore the microstructural and metabolic changes in visual pathways in patients with thyroid eye disease (TED) using 3T multi-parametric MRI. Methods: Thirty-four TED patients (inactive group = 20; active group = 14; acute group = 18; chronic group = 16) and 12 healthy controls (HC) were recruited from November 2020 to July 2021. Proton magnetic resonance spectroscopy ( Results: As compare to HC group, the levels of total choline (tCh) in optic radiation (OR) in active group ([1.404 ± 0.560] vs. [1.022 ± 0.260]; Discussion: Our initial study demonstrate that GluCEST performs better than

Indexed as

diffusion kurtosis imagingglutamate chemical exchange saturation transfermagnetic resonance spectroscopythyroid eye diseasevisual pathways

Identifiers

PMID38274503
PMCPMC10809795
OpenAlexW4390729221

What OpenQuestion holds

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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.