Evidence map›Paper›PMID 33150081›Full record

ArticlePeerJ2020

Human papillomavirus infection and follow-up on positive results in 7222 female samples obtained from 2016 to 2019 in Hefei, China.

Liduo Peng, Liping Yin, Yaqian Dai, Yuanjing Peng, Yuanhong Xu, Huaqing Hu, Jinping Qiao

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 4 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

7 authors at 3 institutions in 1 country.

Liduo PengDepartment of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Liping YinHealth Management Center, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Yaqian DaiDepartment of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Yuanjing PengHealth Management Center, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Yuanhong XuDepartment of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Huaqing HuHealth Management Center, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Jinping QiaoDepartment of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Anhui Medical University · CNFirst Affiliated Hospital of Anhui Medical University · CNAnqing City Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman papillomavirus (HPV) infection rates in women vary regionally. This study analyzed HPV infection in women of different age groups in Hefei, China, performed follow-up on positive cases, and discussed infection prognoses.

methodsSamples (7,222) of exfoliated cervical cells were collected in Hefei and tested with an HPV assay kit against 27 HPV genotypes. Statistical software was used to analyze the data.

resultsThe total positive rate of infection was 17.13% (1,068 women), and the 51-60-year age group had the highest HPV infection rate (19.82%). There were statistically significant differences between rates in the 21-30 and 31-40 (

conclusionsThe results recommend that women in Hefei improve health awareness and receive a 9-valent vaccine. Additionally, women with persistent infections should consult a gynecologist to prevent cervical lesions.

Indexed as

Cervical cancerHefeiHPV genotype assayHPV vaccineHuman papillomavirus

Identifiers

PMID33150081
PMCPMC7583622
OpenAlexW3093534909

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.