Evidence map›Paper›PMID 37928525›Full record

ArticleFrontiers in immunology2023

The effects of 5-aminolevulinic acid photodynamic therapy on the local immune response of women with cervical intraepithelial neoplasia grade 2.

Anyue Wu, Jing Niu, Zubei Hong, Liying Gu, Yuli Huang, Lihua Qiu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 14 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

6 authors at 3 institutions in 1 country.

Anyue Wu *Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Jing Niu *Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Zubei HongDepartment of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Liying GuDepartment of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Yuli HuangDepartment of Obstetrics and Gynecology, Chongming Hospital, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Lihua QiuDepartment of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Renji Hospital · CNShanghai Cancer Institute · CNShanghai University of Medicine and Health Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate and elucidate the effects and mechanism of 5-aminolevulinic acid photodynamic therapy (ALA-PDT) on the local immune response of women with cervical intraepithelial neoplasia grade 2 (CIN2). Materials and methods: Immunofluorescence staining was used to compare immune cells infiltration before and after ALA-PDT in 23 patients with CIN2. The infiltration of immune cells into the cervical tissues of patients with different outcomes was also compared at the 6-month follow-up period. Immune cell counts in samples collected before and after treatment were compared. Results: We found an increased number of CD8 Conclusion: ALA-PDT could activate CD8

Indexed as

Papillomavirus InfectionsPhotochemotherapyUterine Cervical DysplasiaAminolevulinic AcidCD8-Positive T-LymphocytesFemaleHumansProgrammed Cell Death 1 ReceptorAminolevulinic AcidProgrammed Cell Death 1 ReceptorCD8+ T cellsCIN2hrHPVlocal immune responsephotodynamic therapy

Identifiers

PMID37928525
PMCPMC10623119
OpenAlexW4387813019

What OpenQuestion holds

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LicenceCC BY
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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.