Evidence map›Paper›PMID 36325127›Full record

ReviewTherapeutic advances in urology

Emerging perioperative therapeutic approaches in muscle invasive bladder cancer.

Goutham Patil, Arnab Basu

Abstract readReview
In one paragraph

Review in Therapeutic advances in urology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Adjuvant Nivolumab in High-Risk Muscle-Invasive Urothelial Carcinoma: Expanded Efficacy From CheckMate 274.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025
    Trial
  2. Review
  3. Review
  4. Article
  5. Review
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

2 authors.

Goutham PatilSt Joseph Mercy Health System, Pontiac, MI, USA.
Arnab BasuThe University of Alabama at Birmingham School of Medicine, 1802 6th Ave. S., Birmingham, AL 35294-3412, USA.ORCID https://orcid.org/0000-0002-8678-3880

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bladder cancer is a significant healthcare burden with more than 17,000 deaths in the United States in 2018. Patients who are diagnosed with muscle invasive bladder cancer (MIBC) have a high rate of micro-metastatic disease and have a much poorer prognosis compared with patients who have less advanced lesions. Historically, neoadjuvant administration of cisplatin-based therapy followed by surgery has been the mainstay of treatment. Unfortunately, of patients who come in with initially diagnosed MIBC, more than 50% are ineligible for traditional cisplatin-based therapy. Today, new modalities of treatment such as immune checkpoint inhibitors are beginning to radically improve outcomes in this population. The addition of immune checkpoint therapy to traditional chemotherapy appears to augment pathologic complete response rates in the bladder during surgery. Immunotherapy combinations also provide novel trimodality approaches with excellent outcomes in those pursuing non-surgical management. Pure immunotherapy approaches appear promising in the neoadjuvant and adjuvant setting, and the immune checkpoint inhibitor nivolumab is now approved in the adjuvant setting for high-risk patients. Antibody drug conjugates, such as enfortumab vedotin, and targeted therapies, such as infigratinib, are in trials in the perioperative setting. This review article summarizes the current evidence and likely future developments for the management of muscle invasive bladder cancer in 2022 and beyond.

Indexed as

adjuvant therapybladder cancerimmunotherapyneoadjuvanturothelial carcinoma

Identifiers

PMID36325127
PMCPMC9619281

What OpenQuestion holds

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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.