Evidence map›Paper›PMID 28731041›Full record

ArticleModern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc2017

Risk assessment in solitary fibrous tumors: validation and refinement of a risk stratification model.

Elizabeth G Demicco, Michael J Wagner, Robert G Maki, Vishal Gupta, Ilya Iofin, Alexander J Lazar, Wei-Lien Wang

Open access · bronzeAbstract readValidation Study
PubMed Publisher
In one paragraph

Article in Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 214 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
214citing papers in PubMed, 3 pooled it
18.1field-weighted citation impact, top 1% 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

214 citing papers in PubMed, 3 syntheses or guidelines pooled it, 421 citations in OpenAlex.

  1. Pooled it
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  4. Article
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  7. Solitary fibrous tumour of the pleura: evolution in surgical management and challenges in prognostic evaluation.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  15. Platelet-to-lymphocyte ratio and systemic inflammation response index are the optimal combination for risk stratification in patients with nasopharyngeal carcinoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  16. Systemic Therapy for Solitary Fibrous Tumor.Current treatment options in oncology · 2026
    Review
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154 more citing papers are in PubMed but not listed here.

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 1 country.

Elizabeth G DemiccoDepartment of Pathology, Mount Sinai Hospital, New York, NY, USA.
Michael J WagnerCancer Medicine, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA.
Robert G MakiMonter Cancer Center, Northwell Health, New Hyde Park, NY, USA.
Vishal GuptaDepartment of Radiation Oncology, Mount Sinai Hospital, New York, NY, USA.
Ilya IofinDepartment of Surgery, Mount Sinai Hospital, New York, NY, USA.
Alexander J LazarDepartment of Pathology and Translational Molecular Pathology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA.
Wei-Lien WangDepartment of Pathology and Translational Molecular Pathology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA.
Mount Sinai Hospital · USThe University of Texas MD Anderson Cancer Center · USCold Spring Harbor Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Solitary fibrous tumors are an uncommon sarcoma type characterized by NAB2-STAT6 gene fusion. While solitary fibrous tumors metastasize in 5-25% of cases, it has historically been challenging to determine which specific tumor and patient characteristics predict aggressive behavior. We previously reported on a novel risk stratification scheme for solitary fibrous tumors incorporating patient age, tumor size, and mitotic activity to predict risk of metastasis. Herein we validate this risk stratification scheme in an independent, lower-risk population of 79 patients with primary non-meningeal solitary fibrous tumors, and propose incorporating tumor necrosis as a fourth variable to further improve the risk score. Fifty-seven percent of cases were considered low risk, 29% intermediate risk, and 14% high risk for metastasis. Of 50 patients with sufficient clinical follow-up data, no metastases developed in the low-risk patients (n=23), while there was a 7% 10-year metastatic risk in the intermediate risk group (n=17), and a 49% 5-year metastatic risk for the high-risk patients (n=10). When tumor necrosis was added as a fourth variable to the model, predictive power was enhanced. Under the revised stratification, the proportion of tumors identified as low risk increased to 66%, with no metastasis at 10 years, intermediate risk cases comprised 24% with 10% risk of metastasis at 10 years, and high risk comprised 10% of cases with 73% risk of metastasis at 5 years. In Kaplan-Meier analysis, this fourth-variable stratification provided significant discrimination between the risk groups (P=0.0005). These findings confirmed the clinical utility of our previously published risk stratification model and support the inclusion of necrosis as a fourth variable in the model.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolFemaleHumansInfantKaplan-Meier EstimateMaleMiddle AgedNecrosisNeoplasm InvasivenessRisk AssessmentRisk Factors

Identifiers

PMID28731041
OpenAlexW2738958680

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.