Evidence map›Paper›PMID 36556170›Full record

ArticleJournal of personalized medicine2022

Analysis of HR-HPV Infection Concordance Rates in Cervical and Urine Specimens; Proposal of Additional Cervical Screening Process for Women Who Refuse Invasive Cervical Sampling.

Dong Hyeok Kim, Hyunwoo Jin, Kyung Eun Lee

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
0.5field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. 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

3 authors at 1 institution in 1 country.

Dong Hyeok KimDepartment of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan, Busan 46252, Republic of Korea.ORCID 0000-0001-5147-1783
Hyunwoo JinDepartment of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan, Busan 46252, Republic of Korea.
Kyung Eun LeeDepartment of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan, Busan 46252, Republic of Korea.ORCID 0000-0001-9543-4159
Catholic University of Pusan · KR

Funding

National Research Foundation of Korea NRF-2020R1A2C1102228
6 · The paper itself

Abstract

This study aimed to provide basic data for the clinical application of urine samples to prevent cervical cancer due to persistent HR-HPV infection in women who refuse invasive cervical sampling. Pairs of cervical swabs and urine samples were collected from 210 asymptomatic women who visited the obstetrics and gynecology department from August to December 2020, and a total of 420 samples were collected. Using the PANA RealTyper™ HPV Screening Kit as a real-time PCR method, paired cervical swabs and random urine samples were tested. A total of 19 samples (9.1%) were both HPV positive and 177 (84.3%) were both negative. The concordance between the two types of samples was 93.3%, with κ = 0.69 (moderate, 95% CI 0.54-0.84). The HPV infection rate by age was highest in both cervical swabs and urine samples in women in their 30s, followed by those in their 20s. Thus, the HPV infection rate was high in young women under 40 at 69.2% in cervical swabs and 61.8% in urine samples. Urine samples are considered a valuable screening test for women who refuse invasive Pap tests to prevent cervical cancer caused by persistent HPV infection.

Indexed as

cervical cancerhuman papillomavirusreal-time PCRurine

Identifiers

PMID36556170
PMCPMC9784177
OpenAlexW4309855240

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.