Evidence map›Paper›PMID 35002724›Full record

ReviewFrontiers in pharmacology2021

Emerging Role of PD-1/PD-L1 Inhibitors in Chronic Liver Diseases.

Vishakha Singh, Amit Khurana, Prince Allawadhi, Anil Kumar Banothu, Kala Kumar Bharani, Ralf Weiskirchen

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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  8. Identification ofFrontiers in molecular biosciences · 2025
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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

6 authors at 3 institutions in 2 countries.

Vishakha SinghDepartment of Biosciences and Bioengineering, Indian Institute of Technology (IIT) Roorkee, Roorkee, India.
Amit KhuranaInstitute of Molecular Pathobiochemistry, Experimental Gene Therapy and Clinical Chemistry (IFMPEGKC), RWTH Aachen University Hospital, Aachen, Germany.
Prince AllawadhiDepartment of Biosciences and Bioengineering, Indian Institute of Technology (IIT) Roorkee, Roorkee, India.
Anil Kumar BanothuDepartment of Veterinary Pharmacology and Toxicology, College of Veterinary Science (CVSc), Hyderabad, India.
Kala Kumar BharaniDepartment of Veterinary Pharmacology and Toxicology, College of Veterinary Science (CVSc), Warangal, India.
Ralf WeiskirchenInstitute of Molecular Pathobiochemistry, Experimental Gene Therapy and Clinical Chemistry (IFMPEGKC), RWTH Aachen University Hospital, Aachen, Germany.
Indian Institute of Technology Roorkee · INP.V. Narsimha Rao Telangana Veterinary University · INRWTH Aachen University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Programmed cell death protein 1 (PD-1)/PD-ligand (L)1, the immune checkpoint inhibitors have emerged as a promising strategy for the treatment of various diseases including chronic liver diseases (CLDs) such as hepatitis, liver injury and hepatocellular carcinoma (HCC). The role of PD-1/PD-L1 has been widely inspected in the treatment of viral hepatitis and HCC. PD-1 is known to play a crucial role in inhibiting immunological responses and stimulates self-tolerance by regulating the T-cell activity. Further, it promotes apoptosis of antigen-specific T-cells while preventing apoptosis of T

Indexed as

chronic liver diseaseshepatocellular carcinomaimmunotherapymonoclonal antibodiesprogrammed cell death protein 1T-cells

Identifiers

PMID35002724
PMCPMC8733625
OpenAlexW4200062436

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.