Evidence map›Paper›PMID 34429079›Full record

ArticleBMC cancer2021

HPV-specific risk assessment of cervical cytological abnormalities.

Guanglei Zhong, Yuhan Wang, Qingsheng Xie, Rongchun Lin, Tingting Yao

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. High Burden ofMicroorganisms · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Risk Profile of High-grade Cervical Lesions and Cervical Cancer Considering the Combination of Cytology, HPV Genotype, and Age among Women Undergoing Colposcopy.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2023
    Article
  11. 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.

Guanglei Zhong *Department of Gynecological Oncology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, 107 Yan Jiang West Road, Guangzhou, People's Republic of China.
Yuhan Wang *Department of Gynecological Oncology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, 107 Yan Jiang West Road, Guangzhou, People's Republic of China.
Qingsheng XieDepartment of Gynecological Oncology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, 107 Yan Jiang West Road, Guangzhou, People's Republic of China.
Rongchun LinDepartment of Gynecological Oncology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, 107 Yan Jiang West Road, Guangzhou, People's Republic of China.
Tingting YaoDepartment of Gynecological Oncology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, 107 Yan Jiang West Road, Guangzhou, People's Republic of China. yaotting@mail.sysu.edu.cn.
Sun Yat-sen Memorial Hospital · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCytology and HPV genotype screening play an important role in cervical cancer detection. Whether multiple HPV genotyping can predict cytological lesions remains to be further studied.

methodsTwo thousand two hundred twenty-four females were analyzed for cytology and HPV genotypes test. The possibility of predicting cytological lesions by HPV genotypes test was evaluated by multivariate logistic regression and area under the receiver operator characteristic curve (AUC).

resultAbnormal cytological results were found in 479 participants. A total of 688 patients were detected with HPV infection, 619 with HR-HPV infection and 112 with LR-HRV infection. HPV-52 was found to be the most common type among these patients, and a relatively higher risk of cervical lesions was found in HPV positive females. HPV-16, 31, 33 and 58 were found to have significantly higher infection rates in patients with HSIL and higher lesions. The prediction model was developed based on age and HPV-specific genotypes, with the AUC of 0.73 for cytological abnormalities and 0.82 for HSIL and higher lesions.

conclusionHPV-16, 31, 33 and 58 infection are significant risk factors for cervical lesions. Combined HPV genotypes test can effectively predict cytological abnormalities.

Indexed as

AdultCytodiagnosisCytological TechniquesEarly Detection of CancerFemaleFollow-Up StudiesHumansMiddle AgedPapillomaviridaePapillomavirus InfectionsPrognosisRetrospective StudiesRisk AssessmentUterine Cervical DysplasiaUterine Cervical NeoplasmsCervical cancerCytologyHPV

Identifiers

PMID34429079
PMCPMC8383360
OpenAlexW3193895009

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.