Evidence map›Paper›PMID 40548161›Full record

ArticleAdvances in radiation oncology2025

Spinal Instability Neoplastic Score as a Predictor of Vertebral Fracture in Patients Undergoing Radiation Therapy for Spinal Metastases: A Single-Institution Study.

Patrick Doyle, Sarah Caplan, Neil Klinger, Kee-Young Shin, Michael Groff, Maeve Dillon-Martin, Thomas Johnson, Heejoo Kang, Teresia Perkins, Claire Novack and 10 more

Abstract read
In one paragraph

Article in Advances in radiation oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Patrick DoyleDepartment of Radiation Oncology, Brigham & Women's Hospital, Boston, Massachusetts.
Sarah CaplanDepartment of Radiation Oncology, Brigham & Women's Hospital, Boston, Massachusetts.
Neil KlingerDepartment of Neurosurgery, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Kee-Young ShinDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.
Michael GroffDepartment of Neurosurgery, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Maeve Dillon-MartinDepartment of Radiation Oncology, Brigham & Women's Hospital, Boston, Massachusetts.
Thomas JohnsonDepartment of Radiation Oncology, Brigham & Women's Hospital, Boston, Massachusetts.
Heejoo KangDepartment of Radiation Oncology, Brigham & Women's Hospital, Boston, Massachusetts.
Teresia PerkinsDepartment of Radiation Oncology, Brigham & Women's Hospital, Boston, Massachusetts.
Claire NovackDepartment of Radiation Oncology, Brigham & Women's Hospital, Boston, Massachusetts.
Alexander SpektorDepartment of Radiation Oncology, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Mai Anh HuynhDepartment of Radiation Oncology, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Ellen KimDepartment of Radiation Oncology, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Shyam TanguturiDepartment of Radiation Oncology, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Cara RichardsDepartment of Radiation Oncology, Brigham & Women's Hospital, Boston, Massachusetts.
Wenxin Vincent XuDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
David KozonoDepartment of Radiation Oncology, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Ron AlkalayDepartment of Orthopedics, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
David HackneyDepartment of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
Tracy BalboniDepartment of Radiation Oncology, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts.

Funding

Predicting Fracture Risk in Patients Treated with Radiotherapy for Spinal Metastatic DiseaseR01AR075964 · NIAMS · BETH ISRAEL DEACONESS MEDICAL CENTER · PI ALKALAY, RON N, BALBONI, TRACY A. · 2020 to 2024
$3.2M
NIAMS NIH HHS R01 AR075964
6 · The paper itself

Abstract

Purpose: The Spinal Instability Neoplastic Score (SINS) is the most common method of assessing spine stability in the setting of spinal metastases. We sought to assess (1) the SINS score as a predictor of vertebral compression fracture (VCF), (2) the risk contributions of the 6 SINS individual factors, and (3) other contributors to fracture risk. Methods and Materials: In total, 194 patients with 391 spinal lesions that had not previously been treated with vertebroplasty/kyphoplasty, radiation therapy (RT), or surgery were enrolled before RT and followed for new or worsened fracture. Results: A total of 187 patients who were treated to 361 vertebral levels underwent post-RT follow-up. Average follow-up time for patients on study was 9.4 months (range, 0.2-38.8 months). A total of 33 new or worsened fractures (9.1% of lesions followed) were observed, with an average time to fracture of 4.4 months (range, 0.1-27.8 months). Of all 6 SINS factors, 3 were found to be individually significantly associated with increased risk of fracture, these were: lesion location in L2-L4 [hazard ratio (HR) = 2.78, Conclusions: These findings support that SINS is a useful tool for estimating VCF risk, with lesion location, metastasis bone morphology, and presence of <50% collapse being the strongest predictors. Additionally, findings suggest that bone-strengthening medications such as bisphosphonates may mitigate the risk of developing VCF after RT.

Identifiers

PMID40548161
PMCPMC12180991

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