dc.contributor.author | Nieder, Carsten | |
dc.contributor.author | Haukland, Ellinor Christin | |
dc.contributor.author | Mannsåker, Bård | |
dc.contributor.author | Dalhaug, Astrid | |
dc.date.accessioned | 2024-01-19T10:22:02Z | |
dc.date.available | 2024-01-19T10:22:02Z | |
dc.date.issued | 2023-04 | |
dc.description.abstract | Objectives: To provide a widely applicable, blood-biomarker-based and performance-status-based prognostic model, which predicts the survival of patients undergoing palliative non-brain radiotherapy. This model has already been examined in a cohort of patients treated for brain metastases and performed well.<p>
<p>Methods: This was a retrospective single-institution analysis of 375 patients, managed with non-ablative radiotherapy to extracranial targets, such as bone, lung, or lymph nodes. Survival was stratified by LabPS score, a model including serum hemoglobin, platelets, albumin, C-reactive protein, lactate dehydrogenase, and performance status. Zero, 0.5, or 1 point was assigned and the final point sum calculated. A higher point sum indicates shorter survival.<p>
<p>Results: The LabPS score predicted overall survival very well (median 0.6 to 26.5 mo, 3-month rate 0% to 100%, 1-year rate 0% to 89%), P=0.0001. However, the group with the poorest prognosis (4.5 points) was very small. Most patients with comparably short survival or radiotherapy administered in the last month of life had a lower point sum. Additional prognostic factors, such as liver metastases, opioid analgesic use, and/or corticosteroid medication, were identified.<p>
<p>Conclusions: If busy clinicians prefer a general prognostic model rather than a panel of separate diagnosis-specific/target-specific scores, they may consider validating the LabPS score in their own practice. In resource-constrained settings, inexpensive standard blood tests may be preferable over imaging-derived prognostic information. Just like other available scores, the LabPS cannot identify all patients with very short survival. | en_US |
dc.identifier.citation | Nieder, Haukland, Mannsåker, Dalhaug. The LabPS score: Inexpensive, Fast, and Site-agnostic Survival Prediction. American Journal of Clinical Oncology. 2023;46(4):178-182 | en_US |
dc.identifier.cristinID | FRIDAID 2142118 | |
dc.identifier.doi | 10.1097/COC.0000000000000987 | |
dc.identifier.issn | 0277-3732 | |
dc.identifier.issn | 1537-453X | |
dc.identifier.uri | https://hdl.handle.net/10037/32629 | |
dc.language.iso | eng | en_US |
dc.publisher | Lippincott, Williams & Wilkins | en_US |
dc.relation.journal | American Journal of Clinical Oncology | |
dc.relation.projectID | SHARE - Centre for Resilience in Healthcare: 5091 | en_US |
dc.rights.accessRights | openAccess | en_US |
dc.rights.holder | Copyright 2023 The Author(s) | en_US |
dc.title | The LabPS score: Inexpensive, Fast, and Site-agnostic Survival Prediction | en_US |
dc.type.version | acceptedVersion | en_US |
dc.type | Journal article | en_US |
dc.type | Tidsskriftartikkel | en_US |
dc.type | Peer reviewed | en_US |