Utilizing innovative two curves in nomogram
ObjectiveNomograms are valuable tools in clinical research for predicting patient outcomes. Understanding threshold values within these models is crucial for assessing the model’s effectiveness and practical application in clinical environments.MethodsWe developed two novel interpretive curves to en...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2024.1478603/full |
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| author | Tianhan Zhou Zhongkai Ni Hao Fan Hai Huang Haimin Jin |
| author_facet | Tianhan Zhou Zhongkai Ni Hao Fan Hai Huang Haimin Jin |
| author_sort | Tianhan Zhou |
| collection | DOAJ |
| description | ObjectiveNomograms are valuable tools in clinical research for predicting patient outcomes. Understanding threshold values within these models is crucial for assessing the model’s effectiveness and practical application in clinical environments.MethodsWe developed two novel interpretive curves to enhance the utility of nomograms. These curves were designed to provide clear visualization of how clinical prediction models perform across various thresholds. The curves are applied to two case studies to demonstrate their practical application and efficacy.ResultsIn both examples, the novel curves successfully highlighted critical threshold values and revealed changes in prediction accuracy across these thresholds. This enhanced the understanding of the nomogram’s performance, providing clinicians with more informative decision-making tools.ConclusionsThe introduction of these interpretive curves allows for a more nuanced understanding of nomogram-based predictions, offering insights into threshold effects that can inform clinical decisions. |
| format | Article |
| id | doaj-art-fad2e98bb1324718a5825ccc1da89250 |
| institution | Kabale University |
| issn | 2296-858X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj-art-fad2e98bb1324718a5825ccc1da892502025-01-07T05:23:55ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2025-01-011110.3389/fmed.2024.14786031478603Utilizing innovative two curves in nomogramTianhan Zhou0Zhongkai Ni1Hao Fan2Hai Huang3Haimin Jin4The Department of General Surgery, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, ChinaThe Department of General Surgery, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, ChinaSchool of Clinical Medicine, Zhejiang Chinese Medicine University, Hangzhou, ChinaThe Department of General Surgery, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, ChinaThe Department of General Surgery, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, ChinaObjectiveNomograms are valuable tools in clinical research for predicting patient outcomes. Understanding threshold values within these models is crucial for assessing the model’s effectiveness and practical application in clinical environments.MethodsWe developed two novel interpretive curves to enhance the utility of nomograms. These curves were designed to provide clear visualization of how clinical prediction models perform across various thresholds. The curves are applied to two case studies to demonstrate their practical application and efficacy.ResultsIn both examples, the novel curves successfully highlighted critical threshold values and revealed changes in prediction accuracy across these thresholds. This enhanced the understanding of the nomogram’s performance, providing clinicians with more informative decision-making tools.ConclusionsThe introduction of these interpretive curves allows for a more nuanced understanding of nomogram-based predictions, offering insights into threshold effects that can inform clinical decisions.https://www.frontiersin.org/articles/10.3389/fmed.2024.1478603/fullnomogramcutoff pointsthresholdclinical prediction modelYouden index |
| spellingShingle | Tianhan Zhou Zhongkai Ni Hao Fan Hai Huang Haimin Jin Utilizing innovative two curves in nomogram Frontiers in Medicine nomogram cutoff points threshold clinical prediction model Youden index |
| title | Utilizing innovative two curves in nomogram |
| title_full | Utilizing innovative two curves in nomogram |
| title_fullStr | Utilizing innovative two curves in nomogram |
| title_full_unstemmed | Utilizing innovative two curves in nomogram |
| title_short | Utilizing innovative two curves in nomogram |
| title_sort | utilizing innovative two curves in nomogram |
| topic | nomogram cutoff points threshold clinical prediction model Youden index |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2024.1478603/full |
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