Evidence map›Paper›PMID 32905719›Full record

ArticleGlobal spine journal2020

Evaluation of the Metastatic Spine Disease Multidisciplinary Working Group Algorithms as Part of a Multidisciplinary Spine Tumor Conference.

Soumon Rudra, Mary K Lauman, Hayley Stowe, Lauren E Henke, Adam N Wallace, Michael C Roach, Jiayi Huang, Christina I Tsien, Jeffrey D Bradley, Paul Santiago and 3 more

Open access · goldAbstract read
In one paragraph

Article in Global spine journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

13 authors at 4 institutions in 1 country.

Soumon Rudra7548Washington University, St Louis, MO, USA.ORCID https://orcid.org/0000-0002-1411-4880
Mary K Lauman7548Washington University, St Louis, MO, USA.
Hayley Stowe3627East Carolina University, Greenville, NC, USA.
Lauren E Henke7548Washington University, St Louis, MO, USA.
Adam N WallaceAscension Columbia St. Mary's Hospital, Milwaukee, WI, USA.
Michael C Roach7548Washington University, St Louis, MO, USA.
Jiayi Huang7548Washington University, St Louis, MO, USA.
Christina I Tsien7548Washington University, St Louis, MO, USA.
Jeffrey D Bradley7548Washington University, St Louis, MO, USA.
Paul Santiago7548Washington University, St Louis, MO, USA.
Jacob M Buchowski7548Washington University, St Louis, MO, USA.
Jack W JenningsMallinckrodt Institute of Radiology, St Louis, MO, USA.
Clifford G Robinson7548Washington University, St Louis, MO, USA.
Washington University in St. Louis · USColumbia St. Mary's Hospital · USEast Carolina University · USMallinckrodt (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

designRetrospective cohort study.

objectiveThe Metastatic Spine Disease Multidisciplinary Working Group Algorithms are evidence and expert opinion-based strategies for utilizing radiation therapy, interventional radiology procedures, and surgery to treat 5 types of spine metastases: asymptomatic spinal metastases, uncomplicated spinal metastases, stable vertebral compression fractures (VCF), unstable VCF, and metastatic epidural spinal cord compression (MESCC). Evaluation of this set of algorithms in a clinical setting is lacking. The authors aimed to identify rate of treatment adherence to the Working Group Algorithms and, subsequently, update these algorithms based on actual patient management decisions made at a single-institution, multidisciplinary, spine tumor conference.

methodsPatients with metastatic spine disease from primary non-hematologic malignancies discussed at an institutional spine tumor conference from 2013 to 2016 were evaluated. Rates of Working Group Algorithms adherence were calculated for each type of metastasis. Based on the reasons for algorithm nonadherence, and patient outcomes in such cases, updated Working Group Algorithms recommendations were proposed.

resultsIn total, 154 eligible patients with 171 spine metastases were evaluated. Rates of algorithm adherence were as follows: asymptomatic (67%), uncomplicated (73%), stable VCF (20%), unstable VCF (32%), and MESCC (41%). The most common deviation from the Working Group Algorithms was surgery for MESCC despite poor prognostic factors, but this treatment strategy was supported based on median survival surpassing 6 months in these patients.

conclusionsAdherence to the Working Group Algorithm was lowest for MESCC and VCF patients, but many nonadherent treatments were supported by patient survival outcomes. We proposed updates to the Working Group Algorithm based on these findings.

Indexed as

interventional radiologyradiation therapyspinal cord compressionspinal metastasesspine surgeryvertebral compression fractures

Identifiers

PMID32905719
PMCPMC7485068
OpenAlexW2980717681

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.