Evidence map›Paper›PMID 33329884›Full record

ArticleRare tumors2020

Epidemiology and survival outcome of adult kidney, bladder, and prostate rhabdomyosarcoma: A SEER database analysis.

Sagar R Patel, Caitlin P Hensel, Jiaxian He, Nicolas E Alcalá, James T Kearns, Kris E Gaston, Peter E Clark, Stephen B Riggs

Open access · goldAbstract read
In one paragraph

Article in Rare tumors, 2020. 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
0.9field-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, 11 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

8 authors at 3 institutions in 1 country.

Sagar R PatelDepartment of Urology, Atrium Health, Charlotte, NC, USA.
Caitlin P HenselDepartment of Biostatistics, Levine Cancer Institute, Charlotte, NC, USA.
Jiaxian HeDepartment of Biostatistics, Levine Cancer Institute, Charlotte, NC, USA.
Nicolas E AlcaláDepartment of Urology, Atrium Health, Charlotte, NC, USA.ORCID https://orcid.org/0000-0002-7428-5657
James T KearnsDepartment of Urology, Atrium Health, Charlotte, NC, USA.
Kris E GastonDepartment of Urology, Atrium Health, Charlotte, NC, USA.
Peter E ClarkDepartment of Urology, Atrium Health, Charlotte, NC, USA.
Stephen B RiggsDepartment of Urology, Atrium Health, Charlotte, NC, USA.
Atrium Medical Cente · USLevine Cancer Institute · USUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rhabdomyosarcoma (RMS) is rare in adulthood, accounting for 2%-5% of adult soft tissue tumors, and less than 20% occur in genitourinary organs. Given its rarity, survival data on adult kidney, bladder, and prostate RMSs is limited. In this population-based analysis, we performed an analysis of all adult RMS cases reported in Surveillance, Epidemiology, and End Results (SEER) database to understand prognostic factors among kidney, bladder, and prostate RMS. A query of the SEER database was performed from 1973 to 2016 for patients >18 of age with RMS. The final cohort consisted of 14 kidney, 35 bladder, and 21 prostate RMS cases in the adult population. Demographic, treatment, and survival data were obtained. Analysis was performed using Fisher's exact test, survival analysis, and model. The median (range) age of diagnosis for adult bladder RMS was 65 years old (19-84) compared to 52.5 (28-68) and 42 (19-87) for kidney and prostate (

Indexed as

and End Results (SEER)bladderepidemiologyEpidemiologyincidencekidneyprostateRhabdomyosarcomaSurveillancesurvival outcome

Identifiers

PMID33329884
PMCPMC7720312
OpenAlexW3112537122

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.