Evidence map›Paper›PMID 36425096›Full record

ArticleFrontiers in medicine2022

Artificial intelligence-based immunoprofiling serves as a potentially predictive biomarker of nivolumab treatment for advanced hepatocellular carcinoma.

Jan-Mou Lee, Yi-Ping Hung, Kai-Yuan Chou, Cheng-Yun Lee, Shian-Ren Lin, Ya-Han Tsai, Wan-Yu Lai, Yu-Yun Shao, Chiun Hsu, Chih-Hung Hsu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
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

11 authors at 4 institutions in 1 country.

Jan-Mou LeeFullHope Biomedical Co., Ltd., New Taipei City, Taiwan.
Yi-Ping HungDepartment of Oncology, Taipei Veterans General Hospital, Taipei, Taiwan.
Kai-Yuan ChouSchool of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Cheng-Yun LeeSchool of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Shian-Ren LinSchool of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Ya-Han TsaiSchool of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Wan-Yu LaiSchool of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Yu-Yun ShaoCollege of Medicine, Graduate Institute of Oncology, National Taiwan University, Taipei, Taiwan.
Chiun HsuCollege of Medicine, Graduate Institute of Oncology, National Taiwan University, Taipei, Taiwan.
Chih-Hung HsuCollege of Medicine, Graduate Institute of Oncology, National Taiwan University, Taipei, Taiwan.
Yee ChaoDepartment of Oncology, Taipei Veterans General Hospital, Taipei, Taiwan.
National Yang Ming Chiao Tung University · TWNational Taiwan University Hospital · TWNational Taiwan University · TWTaipei Veterans General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitors (ICI) have been applied in treating advanced hepatocellular carcinoma (aHCC) patients, but few patients exhibit stable and lasting responses. Moreover, identifying aHCC patients suitable for ICI treatment is still challenged. This study aimed to evaluate whether dissecting peripheral immune cell subsets by Mann-Whitney U test and artificial intelligence (AI) algorithms could serve as predictive biomarkers of nivolumab treatment for aHCC. Disease control group carried significantly increased percentages of PD-L1

Indexed as

artificial intelligencehepatocellular carcinoma (HCC)immunoprofilingimmunotherapynivolumab (PubChem SID: 178103907)predictive biomarker

Identifiers

PMID36425096
PMCPMC9679144
OpenAlexW4308592881

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.