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Background: Radioisotope scanning is important to diagnose subacute thyroiditis(SAT), but it’s not always available. So we aim to establish a diagnostic scale for SAT without radioisotope scanning.
Methods: The suspected SAT patients hospitalized in Yuebei people's Hospital from January 2012 to December 2016 were selected and divided into study group and control group according to whether they were diagnosed as SAT. The clinical indexes of two groups were collected and the diagnostic scale of SAT was established by using binary logistic regression analysis. The effectiveness of the scale was evaluated by ROC curve.
Results: Of 309 patients, 58.25% of patients were confirmed with SAT and the remaining 41.75% of patients were not diagnosed with SAT. After univariate analysis, variables which were considered statistically different(P<0. 05) between the two groups were selected as independent variables and the diagnosis of SAT was taken as dependent variable in the binary logistic regression model. The logistic regression model consisted of 4 variables, each was thyroid tenderness, firm on palpation, increased ESR and elevated thyroid hormone level. The P value of Omnibus tests was≤0. 001 and the Nagelkerke R Square was 0. 915. The diagnostic scoring scale was established with these four variables according to their regression coeffient. The area under the ROC curve for this diagnostic scale was 0. 991(95% confidence interval, 0. 982-0.999). The highest Youden index was 0. 912, the corresponding cut-off point was 7. Internally validation shows a sensitivity of 92. 78% and a specificity of 98.45% of our scale.
Conclusions: We established and validated a diagnostic scale for SAT without the need for radioisotope scanning for the first time. It has good application in institutions that do not have radioisotope machines or among pregnant and lactating women.
Keywords
subacute thyroiditis, radioisotope scanning, diagnostic scale, logstic regression analysis.
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CURRENT STATUS: Published
View the published article at BMC Endocrine Disorders.
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Posted 22 Apr, 2020
No community comments so far
Editorial decision: Minor revision
On 04 May, 2020
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Received 02 May, 2020
Review #1 received
Received 27 Apr, 2020
Editor assigned
On 15 Apr, 2020
Reviewers invited
Invitations sent on 15 Apr, 2020
Reviewer #1 agreed
On 15 Apr, 2020
Reviewer #2 agreed
On 15 Apr, 2020
Submission checks complete
On 14 Apr, 2020
Editor invited
On 14 Apr, 2020
No comments provided
Review #1 received
Received 26 Mar, 2020
Editorial decision: Major revision
On 26 Mar, 2020
Review #2 received
Received 25 Mar, 2020
Reviewer #2 agreed
On 18 Mar, 2020
Reviewers invited
Invitations sent on 17 Mar, 2020
Reviewer #1 agreed
On 17 Mar, 2020
Editor assigned
On 09 Mar, 2020
Submission checks complete
On 08 Mar, 2020
Editor invited
On 08 Mar, 2020
First submitted
On 05 Mar, 2020
Metrics
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PDF Downloads: ...
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Subject Areas
Endocrinology & Metabolism
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A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
See the published version of this preprint at BMC Endocrine Disorders.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research article
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at BMC Endocrine Disorders.
Version 2
Posted 22 Apr, 2020
No community comments so far
Editorial decision: Minor revision
On 04 May, 2020
Review #2 received
Received 02 May, 2020
Review #1 received
Received 27 Apr, 2020
Editor assigned
On 15 Apr, 2020
Reviewers invited
Invitations sent on 15 Apr, 2020
Reviewer #1 agreed
On 15 Apr, 2020
Reviewer #2 agreed
On 15 Apr, 2020
Submission checks complete
On 14 Apr, 2020
Editor invited
On 14 Apr, 2020
No comments provided
Review #1 received
Received 26 Mar, 2020
Editorial decision: Major revision
On 26 Mar, 2020
Review #2 received
Received 25 Mar, 2020
Reviewer #2 agreed
On 18 Mar, 2020
Reviewers invited
Invitations sent on 17 Mar, 2020
Reviewer #1 agreed
On 17 Mar, 2020
Editor assigned
On 09 Mar, 2020
Submission checks complete
On 08 Mar, 2020
Editor invited
On 08 Mar, 2020
First submitted
On 05 Mar, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Endocrinology & Metabolism
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at BMC Endocrine Disorders.
Background: Radioisotope scanning is important to diagnose subacute thyroiditis(SAT), but it’s not always available. So we aim to establish a diagnostic scale for SAT without radioisotope scanning.
Methods: The suspected SAT patients hospitalized in Yuebei people's Hospital from January 2012 to December 2016 were selected and divided into study group and control group according to whether they were diagnosed as SAT. The clinical indexes of two groups were collected and the diagnostic scale of SAT was established by using binary logistic regression analysis. The effectiveness of the scale was evaluated by ROC curve.
Results: Of 309 patients, 58.25% of patients were confirmed with SAT and the remaining 41.75% of patients were not diagnosed with SAT. After univariate analysis, variables which were considered statistically different(P<0. 05) between the two groups were selected as independent variables and the diagnosis of SAT was taken as dependent variable in the binary logistic regression model. The logistic regression model consisted of 4 variables, each was thyroid tenderness, firm on palpation, increased ESR and elevated thyroid hormone level. The P value of Omnibus tests was≤0. 001 and the Nagelkerke R Square was 0. 915. The diagnostic scoring scale was established with these four variables according to their regression coeffient. The area under the ROC curve for this diagnostic scale was 0. 991(95% confidence interval, 0. 982-0.999). The highest Youden index was 0. 912, the corresponding cut-off point was 7. Internally validation shows a sensitivity of 92. 78% and a specificity of 98.45% of our scale.
Conclusions: We established and validated a diagnostic scale for SAT without the need for radioisotope scanning for the first time. It has good application in institutions that do not have radioisotope machines or among pregnant and lactating women.
Figure 1
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