Evidence map›Paper›PMID 32228295›Full record

ArticleRadiology2020

Muscle-invasive Urothelial Cancer: Association of Mutational Status with Metastatic Pattern and Survival.

Francesco Alessandrino, Kristin Williams, Amin H Nassar, Rahul Gujrathi, Stuart G Silverman, Guru Sonpavde, Atul B Shinagare

Abstract read
PubMed Publisher
In one paragraph

Article in Radiology, 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
2.7field-weighted citation impact, top 10% 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, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Francesco Alessandrino *From the Department of Imaging (F.A., K.W., R.G., A.B.S.) and Lank Center for Genitourinary Oncology (A.H.N., G.S.), Dana Farber Cancer Institute, Harvard Medical School, 450 Brookline Avenue, Boston, MA 02215; and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (F.A., K.W., R.G., S.G.S., A.B.S.).ORCID https://orcid.org/0000-0002-1681-1284
Kristin Williams *From the Department of Imaging (F.A., K.W., R.G., A.B.S.) and Lank Center for Genitourinary Oncology (A.H.N., G.S.), Dana Farber Cancer Institute, Harvard Medical School, 450 Brookline Avenue, Boston, MA 02215; and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (F.A., K.W., R.G., S.G.S., A.B.S.).ORCID https://orcid.org/0000-0001-7560-806X
Amin H NassarFrom the Department of Imaging (F.A., K.W., R.G., A.B.S.) and Lank Center for Genitourinary Oncology (A.H.N., G.S.), Dana Farber Cancer Institute, Harvard Medical School, 450 Brookline Avenue, Boston, MA 02215; and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (F.A., K.W., R.G., S.G.S., A.B.S.).ORCID https://orcid.org/0000-0002-8084-9105
Rahul GujrathiFrom the Department of Imaging (F.A., K.W., R.G., A.B.S.) and Lank Center for Genitourinary Oncology (A.H.N., G.S.), Dana Farber Cancer Institute, Harvard Medical School, 450 Brookline Avenue, Boston, MA 02215; and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (F.A., K.W., R.G., S.G.S., A.B.S.).ORCID https://orcid.org/0000-0003-2581-2315
Stuart G SilvermanFrom the Department of Imaging (F.A., K.W., R.G., A.B.S.) and Lank Center for Genitourinary Oncology (A.H.N., G.S.), Dana Farber Cancer Institute, Harvard Medical School, 450 Brookline Avenue, Boston, MA 02215; and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (F.A., K.W., R.G., S.G.S., A.B.S.).ORCID https://orcid.org/0000-0001-9461-8028
Guru SonpavdeFrom the Department of Imaging (F.A., K.W., R.G., A.B.S.) and Lank Center for Genitourinary Oncology (A.H.N., G.S.), Dana Farber Cancer Institute, Harvard Medical School, 450 Brookline Avenue, Boston, MA 02215; and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (F.A., K.W., R.G., S.G.S., A.B.S.).
Atul B ShinagareFrom the Department of Imaging (F.A., K.W., R.G., A.B.S.) and Lank Center for Genitourinary Oncology (A.H.N., G.S.), Dana Farber Cancer Institute, Harvard Medical School, 450 Brookline Avenue, Boston, MA 02215; and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (F.A., K.W., R.G., S.G.S., A.B.S.).
Dana-Farber Cancer Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Muscle-invasive urothelial cancer (MIUC) is characterized by substantial genetic heterogeneity and high mutational frequency. Correlation between frequently mutated genes with clinical behavior has been recently demonstrated. Nonetheless, correlation between mutational status of MIUC and metastatic pattern is unknown. Purpose To investigate the association of mutational status of MIUC with metastatic pattern, metastasis-free survival (MFS), and overall survival (OS). Materials and Methods This single-center retrospective study evaluated consecutive patients with biopsy-proven MIUC who underwent serial cross-sectional imaging (CT, MRI, or fluorine 18 fluorodeoxyglucose PET/CT) between April 2010 and December 2018. Mutational status was correlated with location of metastases using the χ

Indexed as

AgedAged, 80 and overBiopsyCarcinoma, Transitional CellCorrelation of DataDNA Mutational AnalysisFemaleHistone DemethylasesHumansKidney NeoplasmsMagnetic Resonance ImagingMaleMiddle AgedMusclesNeoplasm InvasivenessPositron Emission Tomography Computed TomographyHistone DemethylasesKDM6A protein, humanRB1 protein, humanRetinoblastoma Binding ProteinsTP53 protein, humanTumor Suppressor Protein p53Ubiquitin-Protein Ligases

Identifiers

PMID32228295
OpenAlexW3013180711

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.