Evidence map›Paper›PMID 38650927›Full record

ArticleFrontiers in immunology2024

Prognostic value of CD8

Qing Pu, Lihua Yu, Xiaoli Liu, Huiwen Yan, Yuqing Xie, Xue Cai, Yuan Wu, Juan Du, Zhiyun Yang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 14% 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, 7 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Qing Pu *Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Lihua Yu *Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Xiaoli LiuCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Huiwen YanCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Yuqing XieCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Xue CaiCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Yuan WuCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Juan DuBeijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Zhiyun YangCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunotherapy has emerged as the primary treatment modality for patients with advanced Hepatocellular carcinoma (HCC). However, its clinical efficacy remains limited, benefiting only a subset of patients, while most exhibit immune tolerance and face a grim prognosis. The infiltration of immune cells plays a pivotal role in tumor initiation and progression. In this study, we conducted an analysis of immune cell infiltration patterns in HCC patients and observed a substantial proportion of CD8

Indexed as

Carcinoma, HepatocellularCD8-Positive T-LymphocytesLiver NeoplasmsSignal TransductionBiomarkers, TumorFemaleGene Expression Regulation, NeoplasticHumansLymphocytes, Tumor-InfiltratingMaleMiddle AgedPrognosisReceptor, Notch1Receptors, NotchBiomarkers, TumorReceptor, Notch1Receptors, NotchCD8+T cells exhaustionhepatocellular carcinomaNotch signaling pathwayprognosisrisk scoring

Identifiers

PMID38650927
PMCPMC11033358
OpenAlexW4394574125

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.