Systematic review of 99 extremity bone malignancy survival prediction models
Abstract Background Various prediction models have been developed for extremity metastasis and sarcoma. This systematic review aims to evaluate extremity metastasis and sarcoma models using the utility prediction model (UPM) evaluation framework. Methods We followed Preferred Reporting Items for Sys...
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SpringerOpen
2025-01-01
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Series: | Journal of Orthopaedics and Traumatology |
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Online Access: | https://doi.org/10.1186/s10195-025-00821-6 |
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author | Cheng-Yo Lai Hung-Kuan Yen Hao-Chen Lin Olivier Quinten Groot Wei-Hsin Lin Hao-Ping Hsu |
author_facet | Cheng-Yo Lai Hung-Kuan Yen Hao-Chen Lin Olivier Quinten Groot Wei-Hsin Lin Hao-Ping Hsu |
author_sort | Cheng-Yo Lai |
collection | DOAJ |
description | Abstract Background Various prediction models have been developed for extremity metastasis and sarcoma. This systematic review aims to evaluate extremity metastasis and sarcoma models using the utility prediction model (UPM) evaluation framework. Methods We followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and systematically searched PubMed, Embase, and Cochrane to identify articles presenting original prediction models with 1-year survival outcome for extremity metastasis and 5-year survival outcome for sarcoma. Identified models were assessed using the UPM score (0–16), categorized as excellent (12–16), good (7–11), fair (3–6), or poor (0–2). A total of 5 extremity metastasis and 94 sarcoma models met inclusion criteria and were analyzed for design, validation, and performance. Results We assessed 5 models for extremity metastasis and 94 models for sarcoma. Only 4 out of 99 (4%) models achieved excellence, 1 from extremity metastasis and 3 from sarcoma. The majority were rated good (62%; 61/99), followed by fair (31%, 31/99) and poor (3%, 3/99). Conclusions Most predictive models for extremity metastasis and sarcoma fall short of UPM excellence. Suboptimal study design, limited external validation, and the infrequent availability of web-based calculators are main drawbacks. Level of evidence This study is classified as Level 2a evidence according to the Oxford 2011 Levels of Evidence. Trial registration This study was registered in PROSEPRO (CRD42022373391, https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=373391 ). |
format | Article |
id | doaj-art-776a0410e7da4454a77a74097762dd95 |
institution | Kabale University |
issn | 1590-9999 |
language | English |
publishDate | 2025-01-01 |
publisher | SpringerOpen |
record_format | Article |
series | Journal of Orthopaedics and Traumatology |
spelling | doaj-art-776a0410e7da4454a77a74097762dd952025-02-02T12:36:34ZengSpringerOpenJournal of Orthopaedics and Traumatology1590-99992025-01-0126111010.1186/s10195-025-00821-6Systematic review of 99 extremity bone malignancy survival prediction modelsCheng-Yo Lai0Hung-Kuan Yen1Hao-Chen Lin2Olivier Quinten Groot3Wei-Hsin Lin4Hao-Ping Hsu5Department of Orthopedic Surgery, National Taiwan University Hospital Hsinchu BranchDepartment of Orthopedic Surgery, National Taiwan University HospitalDepartment of Medical Education, National Taiwan University HospitalDepartment of Orthopaedics, University Medical Center UtrechtDepartment of Orthopedic Surgery, National Taiwan University HospitalDepartment of Medical Imaging, Chi Mei Medical CenterAbstract Background Various prediction models have been developed for extremity metastasis and sarcoma. This systematic review aims to evaluate extremity metastasis and sarcoma models using the utility prediction model (UPM) evaluation framework. Methods We followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and systematically searched PubMed, Embase, and Cochrane to identify articles presenting original prediction models with 1-year survival outcome for extremity metastasis and 5-year survival outcome for sarcoma. Identified models were assessed using the UPM score (0–16), categorized as excellent (12–16), good (7–11), fair (3–6), or poor (0–2). A total of 5 extremity metastasis and 94 sarcoma models met inclusion criteria and were analyzed for design, validation, and performance. Results We assessed 5 models for extremity metastasis and 94 models for sarcoma. Only 4 out of 99 (4%) models achieved excellence, 1 from extremity metastasis and 3 from sarcoma. The majority were rated good (62%; 61/99), followed by fair (31%, 31/99) and poor (3%, 3/99). Conclusions Most predictive models for extremity metastasis and sarcoma fall short of UPM excellence. Suboptimal study design, limited external validation, and the infrequent availability of web-based calculators are main drawbacks. Level of evidence This study is classified as Level 2a evidence according to the Oxford 2011 Levels of Evidence. Trial registration This study was registered in PROSEPRO (CRD42022373391, https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=373391 ).https://doi.org/10.1186/s10195-025-00821-6Extremity bone malignancyExtremity metastasisSarcomaPrediction modelsSystematic review |
spellingShingle | Cheng-Yo Lai Hung-Kuan Yen Hao-Chen Lin Olivier Quinten Groot Wei-Hsin Lin Hao-Ping Hsu Systematic review of 99 extremity bone malignancy survival prediction models Journal of Orthopaedics and Traumatology Extremity bone malignancy Extremity metastasis Sarcoma Prediction models Systematic review |
title | Systematic review of 99 extremity bone malignancy survival prediction models |
title_full | Systematic review of 99 extremity bone malignancy survival prediction models |
title_fullStr | Systematic review of 99 extremity bone malignancy survival prediction models |
title_full_unstemmed | Systematic review of 99 extremity bone malignancy survival prediction models |
title_short | Systematic review of 99 extremity bone malignancy survival prediction models |
title_sort | systematic review of 99 extremity bone malignancy survival prediction models |
topic | Extremity bone malignancy Extremity metastasis Sarcoma Prediction models Systematic review |
url | https://doi.org/10.1186/s10195-025-00821-6 |
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