Evidence map›Paper›PMID 40636612›Full record

ArticleCureus2025

Clear Cell Sarcoma Incidence and Survival: A Surveillance, Epidemiology, and End Results (SEER) Database Analysis.

Harvey Y Wang, Laura M Cogua, Connor J Tupper, Peter T Silberstein

Abstract read
In one paragraph

Article in Cureus, 2025. 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
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Trial
  2. 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

4 authors.

Harvey Y WangCollege of Medicine, Creighton University School of Medicine, Phoenix, USA.
Laura M CoguaCollege of Medicine, Creighton University School of Medicine, Phoenix, USA.
Connor J TupperCollege of Medicine, Creighton University School of Medicine, Phoenix, USA.
Peter T SilbersteinDepartment of Oncology, Creighton University School of Medicine, Omaha, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Clear cell sarcoma (CCS) is a rare soft tissue cancer that predominantly affects young to middle-aged adults. Current literature lacks recent and accurate estimates of patient outcomes due to the disease's low incidence and the small sample sizes in existing studies. This study aims to examine the incidence and survival of patients with CCS. Methods Patients from the Surveillance, Epidemiology, and End Results (SEER) database diagnosed with CCS between 2000 and 2019 were selected. Additional variables collected included age, sex, race, stage, metastases, tumor size, treatment status for surgery, radiation, and chemotherapy, median household income, and population size. Descriptive statistics, population-based incidence, chi-square tests, and Cox regression analyses were performed. Results A total of 268 patients were included. The population-adjusted incidence ranged from 0.012/100,000 to 0.027/100,000. The total percent change over the study period was 16.751%, and the annual percent change was 0.561%. The survival rates at one, three, and five years were 78.4%, 62.0%, and 57.1%, respectively. Cox regression results showed that Black patients (p = 0.007), tumor size greater than 4.0 cm (p = 0.033), and the presence of metastases (p = 0.040) were all associated with shorter survival. Significance The findings showed that CCS incidence has remained unchanged in recent years and that prognosis is poor. Black patients were found to have shorter survival durations. Contrary to prior findings, staging and tumor size were only significantly associated with survival in univariate analyses. Limitations include a small sample size and the constraints of variables available in the SEER database. Nonetheless, future research will benefit from assessing whether race is an independent risk factor for CCS survival and from exploring ways to improve prognosis.

Indexed as

clear cell sarcomaincidencemalignant melanomaprognosisseer database

Identifiers

PMID40636612
PMCPMC12239694

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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.