ArticleScientific reports2025
Developing a nomogram for risk prediction of the low T3 syndrome.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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Who cites it
3 citing papers in PubMed.
- Unilateral hilar sarcoidosis with anemia and low T3 syndrome: a case report.Frontiers in medicine · 2026Article
- Association of the uric acid to high-density lipoprotein cholesterol ratio with breast cancer odds: a retrospective study.Frontiers in medicine · 2026Article
- Association of Low Free T3 with Disease Presence and Activity in Ankylosing Spondylitis.International journal of molecular sciences · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The objective of this study is to establish a nomogram for predicting low triiodothyronine syndrome (LTS), and clarify the risk factors of LTS. In this study, 109 LTS patients and 331 non-LTS patients were included as the subjects. The general biochemical information of the subjects was collected, and the relevant factors of LTS were evaluated. Concordance index (C-index), Calibration plot, Hosmer-Lemeshow test (H-L test), and Receiver Operating Characteristic (ROC) curve were used to assess the nomogram model. The results of the multiple logistic regression analysis showed that the chronic heart failure (CHF) (OR: 1.978, 95% CI: 1.006-3.892), interleukin-6 (IL-6) (OR: 2.018, 95%CI: 1.043-3.901), infection (OR: 2.136, 95%CI: 1.154-3.955), C-reactive protein (CRP) (OR: 2.720, 95%CI: 1.311-5.641), and N-terminal pro-B-type natriuretic peptide (NT-proBNP) (OR: 3.121, 95%CI: 1.691-5.759) might be the relevant independent risk factors for LTS (P < 0.05), while serum albumin (Alb) might be a protective factor (P < 0.05). All the significant predictors were combined into a predictive nomogram, and the obtained C-index was 0.867 (95% CI: 0.824-0.910). The calibration plot showed good performance of the nomogram, and the predictive model passed H-L test (χ
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Registered trials
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