Evidence map›Paper›PMID 40642513›Full record

ReviewFrontiers in endocrinology2025

Application progress of magnetic resonance imaging in thyroid associated ophthalmopathy.

Yan Song, Tuo Li, Wei Tang, Qian Lv, Xing-Xing Zhang, Wei-Yi Zhou, Yong-Quan Shi

Abstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
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.

Yan Song *Department of Endocrinology and Metabolism, Changzheng Hospital, Naval Medical University, Shanghai, China.
Tuo Li *Department of Endocrinology and Metabolism, Changzheng Hospital, Naval Medical University, Shanghai, China.
Wei TangDepartment of Endocrinology and Metabolism, Changzheng Hospital, Naval Medical University, Shanghai, China.
Qian LvDepartment of Endocrinology and Metabolism, Changzheng Hospital, Naval Medical University, Shanghai, China.
Xing-Xing ZhangDepartment of Endocrinology and Metabolism, Changzheng Hospital, Naval Medical University, Shanghai, China.
Wei-Yi ZhouDepartment of Endocrinology and Metabolism, Changzheng Hospital, Naval Medical University, Shanghai, China.
Yong-Quan ShiDepartment of Endocrinology and Metabolism, Changzheng Hospital, Naval Medical University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thyroid associated ophthalmopathy (TAO) is an autoimmune orbital disease associated with thyroid dysfunction, which may significantly impact the appearance and quality of life of patients. The course of TAO includes active stage and inactive stage, and the treatment methods are different in different stages. The clinical activity score is often used to evaluate the activity of TAO, but it is easy to be affected by subjective factors because it is based on the symptoms and signs of patients. Magnetic resonance imaging (MRI) can evaluate the postorbital tissue structure of TAO more objectively and accurately. A variety of MRI modalities have been used in the diagnosis and treatment of TAO. This article mainly summarizes the application of MRI in diagnosing TAO, assessing its activity, predicting treatment efficacy, and evaluating therapeutic outcomes, thereby providing clinicians with additional evidence-based options.

Indexed as

Graves OphthalmopathyMagnetic Resonance ImagingHumansdiffusion-weighted imagingmagnetic resonance imagingsignal intensity ratioT2 mappingthyroid associated ophthalmopathy

Identifiers

PMID40642513
PMCPMC12242579

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.