Evidence map›Paper›PMID 30616573›Full record

ArticleJournal of translational medicine2019

Establishment of clinical diagnosis model of Graves' disease and Hashimoto's thyroiditis.

Zhaohui Cui, Zhixiao Wang, Xiaoyun Liu, Yun Cai, Xinyu Xu, Tao Yang

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

17 citing papers in PubMed, 26 citations in OpenAlex.

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  10. Graves' Disease in Children: An Update.Clinical medicine insights. Endocrinology and diabetes · 2023
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  12. A case report of new onset graves' disease induced by SARS-CoV-2 infection or vaccine?Journal of clinical and translational endocrinology case reports · 2022
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  14. Correlation between serum 25-(OH)DExperimental and therapeutic medicine · 2021
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  15. Review
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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

6 authors at 2 institutions in 1 country.

Zhaohui CuiDepartment of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, People's Republic of China.
Zhixiao WangDepartment of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, People's Republic of China.
Xiaoyun LiuDepartment of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, People's Republic of China.
Yun CaiDepartment of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, People's Republic of China.
Xinyu XuDepartment of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, People's Republic of China.
Tao YangDepartment of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, People's Republic of China. yangt@njmu.edu.cn.
Nanjing Medical University · CNJiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA clinical diagnosis model include thyroid functions, thyroid antibodies and radioactive iodine uptake (RAIU) of patients with hyperthyroidism were established and as new evaluation indicators for the differentiation of the Graves' disease (GD) and Hashimoto's thyroiditis (HT).

methodsClinical data of patients with newly diagnosed hyperthyroidism including gender, age, thyroid function, thyroid antibodies (FT3, FT4, TSH, TPOAb, TGAb, TRAb), RAIU (2 h, 6 h, 24 h) were collected. A stepwise regression analysis was performed to establish a model based on these variables.

resultsModel 1 was subjected to stepwise regression analysis. After screening, the variables that entered the model included FT3, TGAb, TPOAb, TRAb, 2-h RAIU, 24-h RAIU and gender, in which the variables FT3, TGAb, TRAb, 2-h RAIU, 24-h RAIU, and gender were significantly different. Model 2 without RAIU was also subjected to stepwise regression analysis. After screening, the variables that entered the model included FT4, TGAb, TPOAb, TRAb and gender were statistical significant. The larger value of each variable in the two models indicated the higher probability to diagnose GD. The area under the receiver operating characteristic (ROC) curve of model 1 was 0.843 (95% CI 0.779-0.894), and the area under the ROC curve of model 2 was 0.806 (95% CI 0.685-0.824), which showed good differential diagnostic value.

conclusionsGD and HT diagnosis model was established according to the variables including gender, FT3, TGAb, TRAb, the 2-h RAIU, the 24-h RAIU in the model 1, and the variables FT4, TGAb, TPOAb, TRAb and gender in the model 2 that did not include RAIU. These models had high value to differentiate GD and HT for patients with early hyperthyroidism.

Indexed as

Models, BiologicalAdolescentAdultAgedArea Under CurveFemaleGraves DiseaseHashimoto DiseaseHumansMaleMiddle AgedRegression AnalysisRisk FactorsSensitivity and SpecificityYoung AdultDiagnosisGraves’ diseaseHashimoto’s thyroiditisModel

Identifiers

PMID30616573
PMCPMC6322254
OpenAlexW2918495374

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.