Evidence map›Paper›PMID 32587733›Full record

ArticleNursing open2020

Sexually transmitted infections and cervical cancer: Knowledge and prevention awareness among female university students in Japan.

Kimiko Kawata, Hinako Koga

Open access · goldAbstract read
In one paragraph

Article in Nursing open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Sexually Transmitted Infections in Adolescents and Young Adults: A Cross Section of Public Health.International journal of environmental research and public health · 2024
    Article
  4. Review
  5. Article
  6. 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

2 authors at 2 institutions in 1 country.

Kimiko KawataDivision of Nursing Sciences Department of Health Sciences Faculty of Medical Sciences Kyushu University Fukuoka Japan.ORCID 0000-0002-1936-8505
Hinako KogaKobe city Nishi-Kobe Medical Center Kobe Japan.
Kobe City Nishi-Kobe Medical Center · JPKyushu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: To examine the possible association among knowledge regarding cervical cancer, its relationship with STIs and prevention awareness of STIs of female aged 20 years or older who were recommended regular screening for cervical cancer. Design: A cross-sectional study using anonymous self-administered questionnaires. Method: The subjects were 3rd- and 4th-year female university students. The association among knowledge about cervical cancer, cervical cancer screening behaviours and sexually transmitted diseases prevention behaviour awareness scale on university students (STDASUS) scores were examined using the Mann-Whitney Results: Two hundred sixty-one questionnaires were analysed as valid responses. The study indicated a possible association between understanding that cervical cancer occurs due to a viral infection and that the virus is spread through sexual intercourse and awareness of STI prevention behaviours. Appropriate education concerning the characteristics of cervical cancer, its correlation with STIs and the importance of the screening is essential.

Indexed as

Sexually Transmitted DiseasesUterine Cervical NeoplasmsCross-Sectional StudiesEarly Detection of CancerFemaleHumansJapanSexual BehaviorStudentsUniversitiescervical cancer knowledgecervical cancer screening behaviourfemale university studentsprevention awarenessSTIs

Identifiers

PMID32587733
PMCPMC7308682
OpenAlexW3017312214

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.