Evidence map›Paper›PMID 27426025›Full record

ReviewExpert review of clinical immunology2017

PD-1/PD-L1 blockade in renal cell cancer.

Kathryn E Beckermann, Douglas B Johnson, Jeffrey A Sosman

Abstract readReview
In one paragraph

Review in Expert review of clinical immunology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
–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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

3 authors.

Kathryn E Beckermanna Department of Medicine , Vanderbilt University Medical Center , Nashville , TN , USA.
Douglas B Johnsona Department of Medicine , Vanderbilt University Medical Center , Nashville , TN , USA.
Jeffrey A Sosmanb Department of Medicine , Northwestern University Medical Center , Chicago , IL , USA.

Funding

Vanderbilt Clinical Oncology Research Career Development ProgramK12CA090625 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Debra L. Friedman, Paula Jill Hurley · 2001 to 2026
$16.9M
Enhancing Translational Science via Prospective InvestigationK24CA172355 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RATHMELL, WENDY KIMRYN · 2013 to 2017
$870k
Predicting and profiling long-term survival after immune checkpoint inhibitionK23CA204726 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI JOHNSON, DOUGLAS B · 2016 to 2020
$756k
NCI NIH HHS K12 CA090625NCI NIH HHS K23 CA204726NCI NIH HHS K24 CA172355
6 · The paper itself

Abstract

introductionImmunotherapy using checkpoint inhibitors is providing significant benefit to patients with renal cell carcinoma (RCC), both in overall survival and tolerability of treatment. Given the recent approval of the first checkpoint inhibitor in RCC, this review discusses the background and clinical data for checkpoint inhibition in RCC. Areas covered: This review introduces and discusses the basic biologic mechanisms of checkpoint inhibitor function and focuses on the current evidence in clinical trials for the use of immunotherapy in RCC. Expert commentary: Immunotherapy has been a mainstay of therapy in RCC, but the recent approval of nivolumab with ORR of 25% and durable responses has provided a transformative new therapeutic option.

Indexed as

AnimalsAntibodies, MonoclonalB7-H1 AntigenClinical Trials as TopicDrug ApprovalHumansImmunotherapyKidney NeoplasmsLymphocyte ActivationNivolumabProgrammed Cell Death 1 ReceptorAntibodies, MonoclonalB7-H1 AntigenNivolumabPDCD1 protein, humanProgrammed Cell Death 1 ReceptoratezolizumabnivolumabPD-1PD-L1pembrolizumabRenal cell

Identifiers

PMID27426025
PMCPMC5555220

What OpenQuestion holds

Textmetadata
LicenceTDM
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.