Evidence map›Paper›PMID 34342733›Full record

ReviewCurrent oncology reports2021

Immune Checkpoint Inhibitors in the Aged.

James Isaacs, Scott Antonia, Jeffrey Clarke

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current oncology reports, 2021. 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
0.4field-weighted citation impact, top 34% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. The gut microbiota: an emerging therapeutic target for ICI-associated myocarditis.Frontiers in cellular and infection microbiology · 2026
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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.

James Isaacs, Durham, NC, USA. james.isaacs@duke.edu.ORCID 0000-0003-1057-4799
Scott Antonia, Durham, NC, USA.
Jeffrey Clarke, Durham, NC, USA.
Duke University · US

Funding

Duke-UNC Chapel Hill Immunotherapy Training GrantT32CA211056 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CHAO, NELSON J., SERODY, JONATHAN S. · 2017 to 2021
$2.2M
NCI NIH HHS T32 CA211056
6 · The paper itself

Abstract

purpose of reviewLarge phase III trials have established the benefit of checkpoint blockade across multiple tumor types, but patient representation is limited in some subgroups including the aged population. There are several changes in the immune system that occur with age (termed immunosenescence) that could potentially limit efficacy in aged populations. RECENT

findingsDespite the concerns stated above, available evidence from prospective trials, retrospective cohorts, and registry data suggest that elderly patients achieve similar benefit with immune checkpoint blockade in comparison to the general population and do not have increased toxicity. However, as patients age, they are at higher risk of developing a decline in multiple physiologic systems (including the immune system) and reduced ability to recover from illness. Clinical evidence shows that patients who have a poor performance status have inferior outcomes and limited clinical benefit from checkpoint blockade. Clinicians should take an individualized approach that accounts for each patient's health status rather than considering age alone when determining who should be offered checkpoint blockade therapy.

Indexed as

AgingAgedAged, 80 and overGeriatric AssessmentHumansImmune Checkpoint InhibitorsImmunosenescencePatient SelectionTreatment OutcomeImmune Checkpoint InhibitorsAgedAnti-CTLA4Anti-PD-1CytokinesGeriatric assessmentImmune ageImmune checkpoint blockadeImmunosenescenceMemory T cellsToxicity

Identifiers

PMID34342733
OpenAlexW3192305301

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.