Evidence map›Paper›PMID 32580266›Full record

ArticleJournal of Korean Neurosurgical Society2021

Is the Spinal Instability Neoplastic Score Accurate and Reliable in Predicting Vertebral Compression Fractures for Spinal Metastasis? A Systematic Review and Qualitative Analysis.

Chang-Hyun Lee, Jae Taek Hong, Sun-Ho Lee, Seong Yi, Moon-Jun Sohn, Sung Hwan Kim, Chun Kee Chung, Korean Spine Oncology Research Society

Open access · goldAbstract read
In one paragraph

Article in Journal of Korean Neurosurgical Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Biomechanical effects of defect size and location on vertebral fracture.Journal of medical and biological 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 7 institutions in 1 country.

Chang-Hyun LeeDepartment of Neurosurgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Jae Taek HongDepartment of Neurosurgery, Eunpyeong St. Mary's Hospital, The Catholic University of Korea, Seoul, Korea.
Sun-Ho LeeDepartment of Neurosurgery and Spine Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Seong YiDepartment of Neurosurgery, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Moon-Jun SohnDepartment of Neurosurgery, Neuroscience & Radiosurgery Hybrid Research Center, Inje University Ilsan Paik Hospital, Goyang, Korea.
Sung Hwan KimDepartment of Radiation Oncology, St. Vincent's Hospital, The Catholic University of Korea, Suwon, Korea.
Chun Kee ChungDepartment of Neurosurgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Korean Spine Oncology Research Society
Catholic University of Korea · KRInje University Ilsan Paik Hospital · KRSamsung Medical Center · KRSeoul National University · KRSeoul National University Hospital · KRThe Catholic University of Korea St. Vincent's Hospital · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spinal metastases can present with varying degrees of mechanical instability. The Spinal Instability Neoplastic Score (SINS) was developed as a tool to assess spinal neoplastic-related instability while helping to guide referrals among oncology specialists. Some previous papers suggested that the SINS was accurate and reliable, while others disagreed with this opinion. We performed a systematic review regarding the SINS to evaluate its accuracy and precision in predicting vertebral compression fractures (VCFs). The 21 included studies investigated a total of 2118 patients. Thirteen studies dealt with the accuracy of SINS to predict postradiotherapy VCFs, and eight dealt with the precision. Among 13 studies, 11 agreed that the SINS categories showed statistically significant accuracy in predicting VCF. Among eight studies, body collapse was effective for predicting VCFs in six studies, and alignment and bone lesion in two studies. Location has no statistical significance in predicting VCFs in any of the eight studies. The precision of SINS categories was substantial to excellent in six of eight studies. Among the six components of the SINS, the majority of the included studies reported that location showed near perfect agreement; body collapse, alignment, and posterolateral involvement showed moderate agreement; and bone lesion showed fair agreement. Bone lesion showed significant accuracy in predicting VCFs in half of eight studies, but displayed fair reliability in five of seven studies. Although location was indicated as having near perfect reliability, the component showed no accuracy for predicting VCFs in any of the studies and deleting or modifying the item needs to be considered. The SINS system may be accurate and reliable in predicting the occurrence of postradiotherapy VCFs for spinal metastasis. Some components seem to be substantially weak and need to be revised.

Indexed as

Fractures, CompressionMetastasisRadiotherapySpinal neoplastic instability scoreSpine

Identifiers

PMID32580266
PMCPMC7819788
OpenAlexW3037498780

What OpenQuestion holds

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LicenceCC BY-NC
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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.