Evidence map›Paper›PMID 36375821›Full record

ReviewHuman vaccines & immunotherapeutics2022

Immune checkpoint inhibitors in esophageal cancer: Clinical development and perspectives.

Yusuke Nagata, Shun Yamamoto, Ken Kato

Open access · goldAbstract readReview
In one paragraph

Review in Human vaccines & immunotherapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
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  3. Esophageal cancer: from pathogenesis to precision therapies.Signal transduction and targeted therapy · 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 2 institutions in 1 country.

Yusuke NagataDepartment of Gastroenterology, Nagano Municipal Hospital, Nagano, Japan.
Shun YamamotoDepartment of Head and Neck, Esophageal Medical Oncology, National Cancer Center Hospital, Tokyo, Japan.
Ken KatoDepartment of Head and Neck, Esophageal Medical Oncology, National Cancer Center Hospital, Tokyo, Japan.
National Cancer Center Hospital East · JPNagano Municipal Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal cancer is the sixth most common cause of cancer-related mortality worldwide. The standard treatment for unresectable esophageal cancer is systemic chemotherapy. However, the survival benefit is limited, with a median overall survival of less than 10 months. The advent of immune checkpoint inhibitors (ICIs), including programmed cell death-1 antibodies, has revolutionized the treatment paradigm for esophageal cancer. Since demonstrating promising efficacy with manageable safety in several clinical trials, ICIs has finally reached the point where they can be used in various tumor stages in the clinical setting. ICIs are most promising treatments that can be expected to improve the prognosis in patients with esophageal cancer now and in the future. This review outlines the mechanisms, results of clinical trials, and prospects for future studies of ICIs in esophageal cancer. It also discusses clinical questions and challenges in the therapeutic development of ICIs.

Indexed as

Carcinoma, Non-Small-Cell LungEsophageal NeoplasmsLung NeoplasmsHumansImmune Checkpoint InhibitorsImmune Checkpoint Inhibitorsadenocarcinomachemotherapyclinical trialEsophageal cancerimmune checkpoint inhibitorprogrammed cell death protein-1squamous cell cancer

Identifiers

PMID36375821
PMCPMC9746438
OpenAlexW4308949857

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.