Evidence map›Paper›PMID 37270478›Full record

ArticleBMC oral health2023

Increased levels of PD1 and glycolysis in CD4

Kun Wu, Nannan Han, Yuanyuan Mao, Yan Li

Open access · goldAbstract read
In one paragraph

Article in BMC oral health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. The Warburg Effect and Aerobic Glycolysis in Tumors.Cancer treatment and research · 2026
    Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
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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

4 authors at 4 institutions in 1 country.

Kun WuDepartment of Oral and Maxillofacial Surgery, Second Xiangya Hospital of Central South University, Changsha, China.
Nannan HanDepartment of Oral and Maxillofacial-Head and Neck Oncology, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Yuanyuan MaoDepartment of Oral and Maxillofacial Surgery, Second Xiangya Hospital of Central South University, Changsha, China. maoyuanyuan@csu.edu.cn.
Yan LiDepartment of Oral and Maxillofacial-Head and Neck Oncology, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China. liyan1106369@163.com.
Central South University · CNSecond Xiangya Hospital of Central South University · CNShanghai Jiao Tong University · CNShanghai Ninth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCervical lymph node metastasis is one of the poorest prognostic factors in oral squamous cell carcinoma (OSCC). Activated immune cells generally have metabolic abnormalities in the tumour microenvironment. However, it is unknown whether abnormal glycolysis in T cells could facilitate metastatic lymph nodes in OSCC patients. The aim of this study was to investigate the effects of immune checkpoints in metastatic lymph nodes and determine the correlation between glycolysis and immune checkpoint expression in CD4

methodsFlow cytometry and immunofluorescence staining were used to analyse the differences in CD4

resultsThe frequency of CD4

conclusionsThese findings suggest that lymph node metastasis and recurrence in OSCC are associated with increases in PD1 and glycolysis in CD4

Indexed as

Mouth NeoplasmsSquamous Cell Carcinoma of Head and NeckCD4-Positive T-LymphocytesHumansLymphatic MetastasisPrognosisTumor MicroenvironmentCD4+ T cellsglycolysisimmune checkpointlymph node metastasisoral squamous cell carcinoma

Identifiers

PMID37270478
PMCPMC10239138
OpenAlexW4379207266

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.