Evidence map›Paper›PMID 28106465›Full record

ArticleThe British journal of radiology2017

Evaluation of

Junqi Wang, Ruiguo Zhang

Abstract read
In one paragraph

Article in The British journal of radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Synthesis, cytotoxicity andFuture medicinal chemistry · 2024
    Article
  4. AMIODARONE AND THYROID DYSFUNCTION.Acta clinica Croatica · 2022
    Review
  5. The Use ofCase reports in endocrinology · 2020
    Article
  6. Article
  7. AbsentOpen access Macedonian journal of medical sciences · 2018
    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

2 authors.

Junqi WangDepartment of Nuclear Medicine, Tianjin First Central Hospital, Tianjin, China.
Ruiguo ZhangDepartment of Nuclear Medicine, Tianjin First Central Hospital, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAmiodarone-induced thyrotoxicosis (AIT) is caused by amiodarone as a side effect of cardiovascular disease treatment. Based on the differences in their pathological and physiological mechanisms, many methods have been developed so far to differentiate AIT subtypes such as colour flow Doppler sonography (CFDS) and 24-h radioiodine uptake (RAIU). However, these methods suffer from inadequate accuracy in distinguishing different types of AITs and sometimes lead to misdiagnosis and delayed treatments. Therefore, there is an unmet demand for an efficient method for accurate classification of AIT.

methodsTechnetium-99 methoxyisobutylisonitrile (

resultsHigh uptake and retention of MIBI in thyroid tissue is characteristic in Type I AIT, while in sharp contrast, low uptake of MIBI in the thyroid tissue was observed in Type II AIT. Mixed-type AIT shows uptake value between Types I and II. MIBI imaging outperforms other methods with a lower misdiagnosis rate.

conclusionAmong the methods evaluated, MIBI imaging enables an accurate identification of Type I, II and mixed-type AITs by showing distinct images for different types of AITs. The results obtained from our selected subjects revealed that MIBI imaging is a reliable method for diagnosis and classification of AITs and MIBI imaging has potential in the treatment of thyroid diseases. Advances in knowledge:

Indexed as

Technetium Tc 99m SestamibiAgedAged, 80 and overAmiodaroneAnti-Arrhythmia AgentsFemaleHumansIodine RadioisotopesMaleMiddle AgedRadiopharmaceuticalsReproducibility of ResultsThyroid GlandThyrotoxicosisUltrasonography, Doppler, ColorAmiodaroneAnti-Arrhythmia AgentsIodine RadioisotopesRadiopharmaceuticalsTechnetium Tc 99m Sestamibi

Identifiers

PMID28106465
PMCPMC5601526

What OpenQuestion holds

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Registered trials

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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.