Evidence map›Paper›PMID 35769468›Full record

ArticleFrontiers in immunology2022

Use of Single Cell Transcriptomic Techniques to Study the Role of High-Risk Human Papillomavirus Infection in Cervical Cancer.

Lingzhang Meng, Shengcai Chen, Guiling Shi, Siyuan He, Zechen Wang, Jiajia Shen, Jiajia Wang, Suren Rao Sooranna, Jingjie Zhao, Jian Song

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 16 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

10 authors at 3 institutions in 2 countries.

Lingzhang MengInstitute of Cardiovascular Sciences, Guangxi Academy of Medical Sciences, Nanning, China.
Shengcai ChenDepartment of Obstetrics and Gynecology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Guiling ShiDepartment of Obstetrics and Gynecology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Siyuan HeCenter for Systemic Inflammation Research (CSIR), Youjiang Medical University for Nationalities, Baise, China.
Zechen WangCenter for Systemic Inflammation Research (CSIR), Youjiang Medical University for Nationalities, Baise, China.
Jiajia ShenCenter for Systemic Inflammation Research (CSIR), Youjiang Medical University for Nationalities, Baise, China.
Jiajia WangCenter for Systemic Inflammation Research (CSIR), Youjiang Medical University for Nationalities, Baise, China.
Suren Rao SoorannaDepartment of Metabolism, Digestion and Reproduction, Imperial College London, Chelsea & Westminster Hospital, London, United Kingdom.
Jingjie ZhaoLife Science and Clinical Research Center, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Jian SongInstitute of Cardiovascular Sciences, Guangxi Academy of Medical Sciences, Nanning, China.
Affiliated Hospital of Youjiang Medical University for Nationalities · CNImperial College London · GBShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-risk human papillomavirus (hrHPV) infection has been associated with a higher probability of progression to cervical cancer. However, several extensive studies have reported that the presence of hrHPV can lead to a better prognosis, but the mechanism of how this occurs is unclear. In this study, microbiological analysis was used to identify HPV infection as a factor for the prognosis of patients with cervical squamous cell carcinoma (CSCC). Comparing the interactions of HPV

Indexed as

Carcinoma, Squamous CellPapillomavirus InfectionsUterine Cervical NeoplasmsFemaleHumansPrognosisTranscriptomecervical cancerhigh-risk human papillomavirusprognosis markerssingle cell transcriptomictumor infiltrating macrophages

Identifiers

PMID35769468
PMCPMC9236134
OpenAlexW4282562289

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.