Evidence map›Paper›PMID 37989956›Full record

ReviewAnnals of surgical oncology2024

Educational Review: Clinical Application of Immune Checkpoint Blockade for the Treatment of Melanoma.

David Su, Harriet Kluger, Kelly Olino

Abstract readReview
PubMed Publisher
In one paragraph

Review in Annals of surgical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
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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 at 1 institution in 1 country.

David SuDivision of Surgical Oncology, Department of Surgery, Yale Cancer Center, Yale University School of Medicine, New Haven, CT, USA.
Harriet KlugerDivision of Medical Oncology, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA.
Kelly OlinoDivision of Surgical Oncology, Department of Surgery, Yale Cancer Center, Yale University School of Medicine, New Haven, CT, USA. Kelly.olino@yale.edu.
Yale University · US

Funding

Yale Cancer Center Advanced Training Program for Physician-Scientists (YCC-ATPP)T32CA233414 · NCI · YALE UNIVERSITY · PI Eric P. Winer · 2019 to 2026
$3.2M
NCI NIH HHS T32 CA233414
6 · The paper itself

Abstract

In the last decade, immunotherapy has become the cornerstone in the management of patients with melanoma, the foremost cause of skin-cancer-related death in the USA. The emergence of immune checkpoint blockade as a crucial element in current immunotherapy and combination strategies has significantly transformed the treatments of resectable and advanced (unresectable or metastatic) melanoma. This paper reviews the landmark clinical trials that formed the basis of management of melanoma in the perioperative and metastatic setting. Furthermore, we discuss the rationale for the applications of PD-1 blockade and its combination with anti-CTLA-4 and anti-LAG-3. The review also explores new experimental combinations of PD-1 blockade with other immunomodulatory agents, including targeted therapies, anti-TIGIT antibodies, TLR-9 agonists, antiangiogenic agents, and mRNA vaccines.

Indexed as

Antineoplastic AgentsMelanomaAntibodies, MonoclonalCTLA-4 AntigenHumansImmune Checkpoint InhibitorsImmunotherapyIpilimumabNivolumabProgrammed Cell Death 1 ReceptorAntibodies, MonoclonalAntineoplastic AgentsCTLA-4 AntigenImmune Checkpoint InhibitorsIpilimumabNivolumabProgrammed Cell Death 1 ReceptorAdjuvantIpilimumabMelanomaMetastaticNeoadjuvantNivolumabPD-1PembrolizumabRelatlimab

Identifiers

PMID37989956
OpenAlexW4388857270

What OpenQuestion holds

Textmetadata
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.