Evidence map›Paper›PMID 36895724›Full record

ReviewFrontiers in medicine2023

Correlation between human papillomavirus viral load and cervical lesions classification: A review of current research.

Yilu Zhou, Xiaoyu Shi, Jiaxin Liu, Lina Zhang

Abstract readReview
In one paragraph

Review in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
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

30 citing papers in PubMed.

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  12. HPV infection patterns and viral load distribution: implication on cervical cancer prevention in Western Kenya.European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP) · 2025
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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.

Yilu ZhouCenter for Diagnosis and Treatment of Cervical Diseases, Changzhou Maternity and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China.
Xiaoyu ShiCenter for Diagnosis and Treatment of Cervical Diseases, Changzhou Maternity and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China.
Jiaxin LiuCenter for Diagnosis and Treatment of Cervical Diseases, Changzhou Maternity and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China.
Lina ZhangCenter for Diagnosis and Treatment of Cervical Diseases, Changzhou Maternity and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer is the fourth largest malignant tumor among women in the world. Human papillomavirus (HPV) infection can lead to cervical intraepithelial neoplasia (CIN) and cervical cancer. Active papillomavirus infection occurs when the infected basal cells replicate and fill a certain area. Persistent HPV infection can lead to squamous intraepithelial lesions, which are divided into CIN1, CIN2, and CIN3 according to how much epithelium is impacted. Different types of HPV have different possibilities of causing cervical cancer, and high-risk HPV is the main cause of cervical cancer. Research showed that viral load may be an indicator of the progression of cervical precancerous lesions, but this association does not seem to be universal. This article aims to summarize different genotypes, multiple infections, especially viral load, in cervical precancerous lesions, to guide early intervention.

Indexed as

cervical lesionsHPV genotypinghuman papillomavirusmultiple infectionsviral load

Identifiers

PMID36895724
PMCPMC9988912

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.