ReviewCureus2026
Prognostic Models for Patient Selection in Palliative Bone Radiotherapy: A Systematic Review.
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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Palliative radiotherapy is a well-established treatment for symptomatic bone metastases, but patients with a vital prognosis of under 3 months may not experience benefit, making accurate prognostic estimation essential for treatment selection. A Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)-guided systematic review of PubMed, Scopus, and Web of Science identified studies evaluating prognostic models in patients receiving bone metastases palliative radiotherapy. The risk of bias was assessed using the Prediction model Risk Of Bias ASsessment Tool (PROBAST). Nineteen studies were included, most retrospective and heterogeneous, with mixed primary tumour histology. A broad range of prognostic approaches was identified, including established scores, newly developed prognostic tools, validated models, and individual prognostic factors. Performance status was the strongest prognostic variable. Models found were heterogeneous, and most studies had a high or unclear risk of bias. This PRISMA review highlights that prognostic models may support patient selection for palliative radiotherapy, but given the heterogeneity of patients and clinical settings, their use requires robust external validation and should be adequate to the local context, clinician experience, and patient characteristics.
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What OpenQuestion holds
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.