Evidence map›Paper›PMID 39409958›Full record

ReviewCancers2024

Meta-Analysis of Age, Sex, and Race Disparities in the Era of Contemporary Urothelial Carcinoma Treatment.

Adam Barsouk, Omar Elghawy, Austin Yang, Jonathan H Sussman, Ronac Mamtani, Lin Mei

Abstract readReview
In one paragraph

Review in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

6 authors.

Adam BarsoukAbramson Cancer Center, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA.
Omar ElghawyAbramson Cancer Center, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA.ORCID 0000-0002-0786-8035
Austin YangPerelman School of Medicine, University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia, PA 19104, USA.
Jonathan H SussmanPerelman School of Medicine, University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia, PA 19104, USA.ORCID 0000-0002-3057-3550
Ronac MamtaniAbramson Cancer Center, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA.
Lin MeiAbramson Cancer Center, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUrothelial carcinoma (UC) is one of the most common cancers diagnosed worldwide. However, minority populations, such as female, elder, and Black patients, may have disparate outcomes and are commonly neglected in randomized prospective trials. This review aims to study the relationship between age, sex, and race on urothelial cancer prognosis, particularly focusing on contemporary therapy and its effect on overall survival.

methodsPhase III prospective trials since 2016 of immune checkpoint inhibitors, antibody-drug conjugates, or targeted therapies in urothelial carcinoma were identified from PubMed. Trials that did not report on survival by race, sex, or age distribution were excluded, and remaining trials (

resultsWomen were reported to have inferior OS on investigational agents compared to men in 9/17 trials. In a meta-analysis, women had inferior OS to men (OR 0.89 [95% CI: 0.78-0.99];

conclusionsWomen in UC trials may have inferior survival outcomes to men. Racial diversity was poor and thus limited any conclusions on survival disparities.

Indexed as

agedisparitiesenfortumabimmunotherapyracesexsurvivaltargeted therapyurothelial cancer

Identifiers

PMID39409958
PMCPMC11476295

What OpenQuestion holds

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LicenceCC BY
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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.