Evidence map›Paper›PMID 37085320›Full record

ArticleInternational journal of spine surgery2023

Predicting Survival in Patients Presenting With Spinal Epidural Metastases: The Limburg Spinal Metastasis Score.

Vincent J Bulthuis, Valérie N E Schuermans, Paul C Willems, Inez Curfs, Arlette A Ramos Gonzaléz, Sander M J van Kuijk, Henk van Santbrink

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Article in International journal of spine surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed, 3 citations in OpenAlex.

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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

7 authors at 3 institutions in 2 countries.

Vincent J BulthuisDepartment of Neurosurgery, Maastricht University Medical Center, Maastricht, Netherlands v.bulthuis@mumc.nl.
Valérie N E SchuermansDepartment of Neurosurgery, Zuyderland Medical Center, Heerlen, Netherlands.
Paul C WillemsDepartment of Orthopedic Surgery, Maastricht University Medical Center, Maastricht, Netherlands.
Inez CurfsDepartment of Orthopedic Surgery, Zuyderland Medical Center, Heerlen, Netherlands.
Arlette A Ramos GonzalézDepartment of Orthopedic Surgery, Maastricht University Medical Center, Maastricht, Netherlands.
Sander M J van KuijkDepartment of Clinical Epidemiology and Medical Technology (KEMTA), Maastricht University Medical Center, Maastricht, Netherlands.
Henk van SantbrinkDepartment of Neurosurgery, Maastricht University Medical Center, Maastricht, Netherlands.
University Medical Center · USMaastricht University · NLZuyderland Medisch Centrum · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with spinal epidural metastases (SEM) often experience a reduction in ambulatory status and, thus, the quality of life. Predicting which patients will benefit from a surgical intervention remains a challenge. Life expectancy is an essential factor to be considered in surgical decision-making, although not the only one. Prediction models can add value in surgical decision-making. The goal of this study was to develop and internally validate a novel model (Limburg spinal metastases score [LSMS]) and compare the predictive value with 2 commonly used models: modified Bauer score and Oswestry Spinal Risk Index (OSRI).

methodsWe retrospectively analyzed 144 consecutive patients who underwent surgical decompression for SEM in our centers between November 2006 and December 2020. Clinical and surgical parameters were evaluated. The novel prediction model was based on multivariate analysis and was internally validated. External validation of the 2 most commonly used prediction models was performed.

resultsThe median survival was 17 months, 55.7% of the immobile patients regained ambulation postoperatively. In 50 patients (34.7%), at least 1 complication occurred within 30 days after surgery. The LSMS consists of 4 parameters: primary tumor type, Karnofsky performance score, presence of visceral metastases, and presence of multiple spinal metastases. Bootstrap internal validation of the model developed on this cohort yielded an optimism-corrected

conclusionThe LSMS consists of 4 parameters to assist surgical decision-making for patients with SEM. The score is easy to use and appears more accurate in our population in comparison with previous existing models. CLINICAL RELEVANCE: A novel prediction model was developed to aid in surgical decision-making for patients with spinal epidural metastases. LEVEL OF EVIDENCE: 3:

Indexed as

epidural spinal metastasesprediction modelssurvival

Identifiers

PMID37085320
PMCPMC10478688
OpenAlexW4366609809

What OpenQuestion holds

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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.