ReviewCureus2026
Advancements in Skeletal Tumour Management: Linking Metastatic Biology With Surgical Reconstruction.
Review in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Skeletal tumours, particularly metastatic bone disease, represent a significant clinical challenge due to their complex biological behaviour and impact on structural integrity and patient function, with improved cancer survival contributing to increased skeletal involvement requiring integrated management. The objective of this review is to examine the evolving relationship between metastatic biology and surgical reconstruction, with emphasis on translational insights for clinical decision-making. A structured narrative review was conducted using PubMed, Scopus, and Web of Science to identify literature published between 2015 and 2025, employing predefined search terms including "bone metastasis", "tumour microenvironment", "skeletal tumours", "MRI", "PET/CT", "radiomics", "targeted therapy", "immunotherapy", and "orthopaedic reconstruction". Studies were screened through title and abstract review followed by full-text assessment, with inclusion criteria prioritising peer-reviewed clinical studies, systematic reviews, and translational research relevant to molecular mechanisms, imaging, systemic therapies, and reconstructive strategies; methodological quality and relevance were appraised qualitatively, and findings were synthesised using a thematic integrative framework. Current evidence highlights tumour-bone interactions, including chemokine-mediated homing and RANK/RANKL pathway dysregulation, as key drivers of disease progression, while advances in imaging and radiomics improve diagnostic accuracy and prognostication; comparative analysis indicates that MRI provides superior local tumour delineation, whereas PET/CT enables assessment of metabolic activity and systemic disease burden, thereby informing surgical planning. Systemic therapies influence tumour biology and surgical timing, and innovations in endoprosthetic and biological reconstruction have expanded limb-salvage options. Key outcomes of this synthesis demonstrate that integrating molecular pathways, imaging-derived biomarkers, and treatment response parameters into surgical decision-making enhances prognostic stratification, optimises intervention timing, and improves functional outcomes, although heterogeneity in study design limits standardisation. This review moves beyond descriptive synthesis by providing a clinically oriented integrative framework linking metastatic biology, radiological phenotype, and reconstructive strategy selection, supporting personalised, multidisciplinary care and improved clinical outcomes in orthopaedic oncology.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.