Evidence map›Paper›PMID 37872500›Full record

ArticleBMC cancer2023

Development of a sensitive droplet digital PCR according to the HPV infection specificity in Chinese population.

Nan Lv, Yue Zhao, Yiying Song, Mingyu Ji, Yunying Zhou

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
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

5 authors at 2 institutions in 1 country.

Nan Lv *Department of Clinical Laboratory Diagnosis, Jinan Central Hospital, Shandong University, Jinan, 250013, People's Republic of China.
Yue Zhao *Department of Clinical Laboratory Diagnosis, Jinan Central Hospital, Shandong University, Jinan, 250013, People's Republic of China.
Yiying SongDepartment of Clinical Laboratory Diagnosis, Jinan Central Hospital, Shandong University, Jinan, 250013, People's Republic of China.
Mingyu JiMedical Research & Laboratory Diagnostic Center, Central Hospital Affiliated to Shandong First Medical University, No.105, Jiefang Road, Lixia Area, Jinan, 250013, People's Republic of China.
Yunying ZhouDepartment of Clinical Laboratory Diagnosis, Jinan Central Hospital, Shandong University, Jinan, 250013, People's Republic of China. Joan0539@163.com.
Jinan Central Hospital · CNShandong University · CN

Funding

National Natural Science Foundation of China 81802761
6 · The paper itself

Abstract

HPV16 and 18 are positively correlated with cervical carcinogenesis. However, HPV prevalence tends to vary according to region, nationality, and environment. The most prevalent high-risk (HR) HPV genotypes are HPV16, 52, 58, 56, 18, 33, and 45), while the low-risk (LR) genotypes are HPV6 and 11 in the Chinese population. Importantly, undetectable low-copy HPV DNA could be an important indicator of integration into the human genome and may be a precursor to cancer progression. The HPV viral load changes dramatically, either increasing or decreasing rapidly during carcinogenesis, and traditional quantitative real-time PCR (qPCR) cannot accurately capture this subtle change. Therefore, in this study, a reliable droplet digital PCR (ddPCR) method was developed to simultaneously detect and quantify HPV genotypes. The ddPCR quantitative results showed high accuracy, sensitivity, and specificity compared to qPCR results employing the same clinical specimens and supplemented the ddPCR assay for HPV52/56/58/6 genotypes according to the infection specificity of the Chinese population. In summary, this procedure is valuable for quantifying HPV DNA, especially under conditions of low template copy number in cervical intraepithelial neoplasia (CIN) and/or cervical cancer. Additionally, this method can dynamically observe the prognosis and outcome of HPV infection and thus be used as an effective means for real-time monitoring of tumor load.

Indexed as

Papillomavirus InfectionsUterine Cervical NeoplasmsAlphapapillomavirusCarcinogenesisDNADNA, ViralEast Asian PeopleFemaleGenotypeHuman papillomavirus 16Human Papillomavirus VirusesHumansPapillomaviridaeReal-Time Polymerase Chain ReactionDNADNA, ViralDroplet digital PCRHuman papillomavirusInfection specificityViral load

Identifiers

PMID37872500
PMCPMC10594741
OpenAlexW4387875118

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.