Evidence map›Paper›PMID 40579022›Full record

ArticleIn vivo (Athens, Greece)

Effect of Pembrolizumab on Lymph Node Dissection in Patients Who Experienced Bladder Cancer Recurrence Following Radical Cystectomy.

Yoshihiko Tasaki, Takashi Nagai, Taku Naiki, Yusuke Noda, Ryosei Okawa, Misato Tomita, Yosuke Sugiyama, Yoshihisa Mimura, Kunihiro Odagiri, Nanami Ito and 7 more

Abstract read
In one paragraph

Article in In vivo (Athens, Greece). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Yoshihiko TasakiDepartment of Clinical Pharmaceutics, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Takashi NagaiDepartment of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan; tkshng73@med.nagoya-cu.ac.jp.
Taku NaikiDepartment of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Yusuke NodaDepartment of Urology, Anjo Kosei Hospital, Anjo, Japan.
Ryosei OkawaDepartment of Urology, Nagoya East Medical Center, Nagoya, Japan.
Misato TomitaDepartment of Clinical Pharmaceutics, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Yosuke SugiyamaDepartment of Clinical Pharmaceutics, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Yoshihisa MimuraDepartment of Clinical Pharmaceutics, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Kunihiro OdagiriDepartment of Clinical Pharmaceutics, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Nanami ItoDepartment of Clinical Pharmaceutics, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Yuji HottaDepartment of Clinical Pharmaceutics, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Nobuhiko ShimizuDepartment of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Toshiki EtaniDepartment of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Shuzo HamamotoDepartment of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Atsushi OkadaDepartment of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Yoko Furukawa-HibiDepartment of Clinical Pharmaceutics, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Takahiro YasuiDepartment of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimPelvic lymph node dissection is recommended to improve the prognosis in patients with bladder cancer undergoing radical cystectomy. Although several studies have reported an association between lymph node dissection and the efficacy of immune checkpoint inhibitors, evidence specific to bladder cancer remains lacking. This study aimed to investigate the effect of pembrolizumab on lymph node dissection during radical cystectomy in patients with bladder cancer. PATIENTS AND

methodsA total of 61 patients treated with pembrolizumab were divided into those who experienced recurrence after radical cystectomy with lymph node dissection (resection group, n=45) and those with unresectable advanced bladder cancer (unresectable group, n=16). The median overall survival (mOS) and progression-free survival (PFS) were analyzed in both groups. Additionally, the association of the characteristics and number of dissected lymph nodes with the efficacy of pembrolizumab was examined in the resection group.

resultsNo significant differences were observed in mOS and mPFS between the resection group and the unresectable group (mOS,

conclusionLymph node resection was not associated with prognosis and efficacy of pembrolizumab in patients with bladder cancer. However, as the resection of more than 14 lymph nodes was associated with a poorer prognosis and reduced efficacy of pembrolizumab, treatment strategies should be carefully tailored based on the extent of lymph node dissection and the administration of neoadjuvant therapy.

Indexed as

Antibodies, Monoclonal, HumanizedAntineoplastic Agents, ImmunologicalLymph Node ExcisionNeoplasm Recurrence, LocalUrinary Bladder NeoplasmsAgedAged, 80 and overCystectomyFemaleHumansLymphatic MetastasisMaleMiddle AgedNeoplasm StagingPrognosisTreatment OutcomeAntibodies, Monoclonal, HumanizedAntineoplastic Agents, Immunologicalpembrolizumabbladder cancerlymph node dissectionPembrolizumabprognosis

Identifiers

PMID40579022
PMCPMC12223663

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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.