Evidence map›Paper›PMID 33809974›Full record

ReviewCancers2021

CTLA-4 in Regulatory T Cells for Cancer Immunotherapy.

Navid Sobhani, Dana Rae Tardiel-Cyril, Aram Davtyan, Daniele Generali, Raheleh Roudi, Yong Li

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 179 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
179citing papers in PubMed, 5 pooled it
15.7field-weighted citation impact, top 1% 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

179 citing papers in PubMed, 5 syntheses or guidelines pooled it, 245 citations in OpenAlex.

  1. Pooled it
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  8. Review
  9. Combinatorial Delivery of Low-Dose Radiotherapy and Immunotherapy to Patients with Immune-Excluded Tumors Enhances CD8+ T-cell Functionality.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
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119 more citing papers are in PubMed but not listed here.

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

6 authors at 4 institutions in 2 countries.

Navid SobhaniDepartment of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX 77030, USA.ORCID 0000-0003-1381-0283
Dana Rae Tardiel-CyrilDepartment of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX 77030, USA.
Aram DavtyanAtomwise, 717 Market St, San Francisco, CA 94103, USA.
Daniele GeneraliDepartment of Medical, Surgery and Health Sciences, University of Trieste, 34147 Trieste, Italy.ORCID 0000-0001-6002-1530
Raheleh RoudiDepartment of Medicine, University of Minnesota Medical School, Minneapolis, MN 55455, USA.ORCID 0000-0001-5023-4743
Yong LiDepartment of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX 77030, USA.ORCID 0000-0001-8838-1714
Baylor College of Medicine · USHealthwise · USUniversity of Minnesota Medical Center · USUniversity of Trieste · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitors (ICIs) have obtained durable responses in many cancers, making it possible to foresee their potential in improving the health of cancer patients. However, immunotherapies are currently limited to a minority of patients and there is a need to develop a better understanding of the basic molecular mechanisms and functions of pivotal immune regulatory molecules. Immune checkpoint cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) and regulatory T (T

Indexed as

antigen-presenting cellsCD28CTLA-4immune checkpoint inhibitorsTreg cells

Identifiers

PMID33809974
PMCPMC8005092
OpenAlexW3127895014

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.