Evidence map›Paper›PMID 37296985›Full record

ReviewCancers2023

Precision Medicine to Treat Urothelial Carcinoma-The Way Forward.

Carvy Floyd Luceno, Won Jin Jeon, Ravand Samaeekia, John Shin, Guru P Sonpavde

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. 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

5 authors at 2 institutions in 1 country.

Carvy Floyd LucenoDepartment of Internal Medicine, Loma Linda University Medical Center, Loma Linda, CA 92354, USA.ORCID 0000-0002-3101-1023
Won Jin JeonDepartment of Internal Medicine, Loma Linda University Medical Center, Loma Linda, CA 92354, USA.ORCID 0000-0001-5212-5284
Ravand SamaeekiaDepartment of Internal Medicine, Loma Linda University Medical Center, Loma Linda, CA 92354, USA.
John ShinDepartment of Medical Oncology/Hematology, Loma Linda University Medical Center, Loma Linda, CA 92354, USA.
Guru P SonpavdeDepartment of Medical Oncology, Section of Genitourinary Oncology and Phase I Clinical Research, AdventHealth Cancer Institute, University of Central Florida, Orlando, FL 32816, USA.ORCID 0000-0002-1010-9611
Loma Linda University Medical Center · USUniversity of Central Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The treatment of urothelial carcinoma (UC) is challenging given its molecular heterogeneity and variable response to current therapies. To address this, many tools, including tumor biomarker assessment and liquid biopsies, have been developed to predict prognosis and treatment response. Approved therapeutic modalities for UC currently include chemotherapy, immune checkpoint inhibitors, receptor tyrosine kinase inhibitors, and antibody drug conjugates. Ongoing investigations to improve the treatment of UC include the search for actionable alterations and the testing of novel therapies. An important objective in recent studies has been to increase efficacy while decreasing toxicity by taking into account unique patient and tumor-related factors-an endeavor called precision medicine. The aim of this review is to highlight advancements in the treatment of UC, describe ongoing clinical trials, and identify areas for future study in the context of precision medicine.

Indexed as

biomarkersimmunotherapyprecision medicinetargeted therapyurothelial carcinoma

Identifiers

PMID37296985
PMCPMC10252480
OpenAlexW4379185370

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.