Evidence map›Paper›PMID 35347590›Full record

ReviewCurrent oncology reports2022

Anti-PD-1: When to Stop Treatment.

Y Jansen, A A M van der Veldt, G Awada, B Neyns

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current oncology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
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  5. Review
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  7. Article
  8. IsCancers · 2024
    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

4 authors at 2 institutions in 2 countries.

Y JansenDepartment of Surgery UZ Brussel, Laarbeeklaan 101, 1090, Jette, Belgium. Yanina.jansen@gmail.com.ORCID 0000-0002-8322-9841
A A M van der VeldtDepartment of Medical Oncology and Radiology & Nuclear Medicine, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.ORCID 0000-0003-0446-1907
G AwadaDepartment of Oncology UZ Brussel, Laarbeeklaan 101, 1090, Jette, Belgium.ORCID 0000-0001-9535-0430
B NeynsDepartment of Oncology UZ Brussel, Laarbeeklaan 101, 1090, Jette, Belgium.ORCID 0000-0003-0658-5903
Universitair Ziekenhuis Brussel · BEErasmus MC Cancer Institute · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewEmerging data indicate that immune checkpoint blockade (ICB) in patients with metastatic melanoma can be stopped electively or at the time of toxicity with an acceptable risk for progression. However, the optimal treatment duration remains to be defined. We review published data on treatment duration, outcome after treatment discontinuation, and treatment re-introduction in patients with metastatic melanoma. RECENT

findingsPublished studies indicate that disease control can be maintained after discontinuation of ICB therapy. Discontinuation of therapy in responders decreases the risk for treatment-related adverse events and lowers the financial burden of ICB. With the limitation of the limited and heterogenous available published data, elective treatment discontinuation after 1 year of treatment appears safe with an acceptable risk of disease progression. The depth of response is currently the best predictor of prolonged response. The metabolic response on 18F-FDG-PET/CT is expected to gain importance, especially for partial responders.

Indexed as

MelanomaPositron Emission Tomography Computed TomographyHumansImmune Checkpoint InhibitorsImmunotherapyPositron-Emission TomographyTreatment OutcomeImmune Checkpoint InhibitorsAnti-PD-1ImmunotherapyMetastatic melanomaTreatment duration

Identifiers

PMID35347590
OpenAlexW4220913099

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.