Evidence map›Paper›PMID 33692442›Full record

SynthesisScientific reports2021

Accuracy and precision of the spinal instability neoplastic score (SINS) for predicting vertebral compression fractures after radiotherapy in spinal metastases: a meta-analysis.

Young Rak Kim, Chang-Hyun Lee, Seung Heon Yang, Seung-Jae Hyun, Chi Heon Kim, Sung Bae Park, Ki-Jeong Kim, Chun Kee Chung

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

16 citing papers in PubMed, 30 citations in OpenAlex.

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  6. Can Multi-Vertebral CT-Based Finite Element Models Accurately Predict Strains? An In Vitro Validation Study.International journal for numerical methods in biomedical engineering · 2025
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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

8 authors at 3 institutions in 2 countries.

Young Rak KimDepartment of Neurosurgery, Seoul National University Hospital, Seoul, Republic of Korea.
Chang-Hyun LeeDepartment of Neurosurgery, Seoul National University Hospital, Seoul, Republic of Korea. imspinesurgeon@gmail.com.
Seung Heon YangDepartment of Neurosurgery, Seoul National University Hospital, Seoul, Republic of Korea.
Seung-Jae HyunDepartment of Neurosurgery, Spine Center, Seoul National University Bundang Hospital, 82, Gumi-Ro 173, Bundang-Gu, Seongnam, Gyeonggi, 13620, Republic of Korea.
Chi Heon KimDepartment of Neurosurgery, Seoul National University Hospital, Seoul, Republic of Korea.
Sung Bae ParkDepartment of Neurosurgery, Seoul National University Boramae Hospital, Seoul, Republic of Korea.
Ki-Jeong KimDepartment of Neurosurgery, Spine Center, Seoul National University Bundang Hospital, 82, Gumi-Ro 173, Bundang-Gu, Seongnam, Gyeonggi, 13620, Republic of Korea.
Chun Kee ChungDepartment of Neurosurgery, Seoul National University Hospital, Seoul, Republic of Korea.
Seoul National University Hospital · KRSeoul National University · KRSeoul National University Bundang Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radiotherapy has played an important role in the treatment of spinal metastases. One of the major complications of radiotherapy is vertebral compression fracture (VCF). Although the spinal instability neoplastic score (SINS) was developed for evaluating spinal instability in patients with spinal metastases, it is also commonly used to predict VCF after radiotherapy in patients with spinal metastases. However, its accuracy for predicting radiotherapy-induced VCF and precision remain controversial. The aim of this study was to clarify the diagnostic value of the SINS to predict radiotherapy-induced VCF and to make recommendations for improving its diagnostic power. We searched core databases and identified 246 studies. Fourteen studies were analyzed, including 7 studies (with 1269 segments) for accuracy and 7 studies (with 280 patients) for precision. For accuracy, the area under the summary receiver operating characteristic curve was 0.776. When a SINS cut-off value of 7 was used, as was done in the included studies, the pooled sensitivity was 0.790 and the pooled specificity was 0.546. For precision, the summary estimate of interobserver agreement was the highest dividing 2 categories based on a cut-off value of 7, and the value was 0.788. The body collapse showed moderate relationship and precision with the VCF. The lytic tumor of bone lesion showed high accuracy and fair reliability, while location had excellent reliability, but low accuracy. The SINS system can be used to predict the occurrence of VCF after radiotherapy in spinal metastases with moderate accuracy and substantial reliability. Increasing the cut-off value and revising the domains may improve the diagnostic performance to predict the VCF of the SINS.

Indexed as

Fractures, CompressionSpinal FracturesSpinal NeoplasmsHumansNeoplasm MetastasisRadiotherapy

Identifiers

PMID33692442
PMCPMC7947012
OpenAlexW3134988164

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.