Evidence map›Paper›PMID 32317020›Full record

ArticleClinical epigenetics2020

Evaluation of a methylation classifier for predicting pre-cancer lesion among women with abnormal results between HPV16/18 and cytology.

Yuan-Yuan Gu, Guan-Nan Zhou, Qing Wang, Jing-Xin Ding, Ke-Qin Hua

Abstract readMulticenter Study
In one paragraph

Article in Clinical epigenetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. A novel methylation marker on theFrontiers in oncology · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Epigenetic approaches for cervical neoplasia screening (Review).Experimental and therapeutic medicine · 2021
    Review
  20. Cervical cancer: Epidemiology, risk factors and screening.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2020
    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.

Yuan-Yuan GuDepartment of Gynecology, The Obstetrics and Gynecology Hospital of Fudan University, 419 Fang-Xie Road, Shanghai, 200011, People's Republic of China.
Guan-Nan ZhouDepartment of Gynecology, The Obstetrics and Gynecology Hospital of Fudan University, 419 Fang-Xie Road, Shanghai, 200011, People's Republic of China.
Qing WangDepartment of Gynecology, The Obstetrics and Gynecology Hospital of Fudan University, 419 Fang-Xie Road, Shanghai, 200011, People's Republic of China.
Jing-Xin DingDepartment of Gynecology, The Obstetrics and Gynecology Hospital of Fudan University, 419 Fang-Xie Road, Shanghai, 200011, People's Republic of China. djxdd@sina.com.
Ke-Qin HuaDepartment of Gynecology, The Obstetrics and Gynecology Hospital of Fudan University, 419 Fang-Xie Road, Shanghai, 200011, People's Republic of China. huakeqinjiaoshou@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough HPV testing and cytology detection are successful for cervical screening in China, additional procedures are urgently required to avoid misdiagnosis and overtreatment. In this multicenter study, we collected cervical samples during screening in clinics. A total of 588 women with HPV16/18+ and/or cytology result ≥HSIL+ (high-grade squamous intraepithelial lesion or worse) were referred to colposcopy for pathological diagnosis. Methylation of S5 was quantified by pyrosequencing.

resultsThe S5 classifier separates women with ≥HSIL+ from <HSIL with a high area under the curve (AUC) of 0.86 (95% CI 0.840-0.910). The cutoff of 2.85 was conducted in our study. Remarkably, all cancer cases (n = 67) were detected by S5. The sensitivity of S5 for "≥HSIL+" was 89.1% (95% CI 86.2-92.4%), and the specificity was 76.6% (95% CI 72.2-78.9%). S5 could reduce unnecessary colposcopy referrals by 74% (95% CI 71.3-78.1%) with virtually no loss of sensitivity for HSIL+, and the follow-up data support the utility of the S5 classifier.

conclusionThe S5 classifier with high sensitivity and specificity provided increasing diagnostic information for women with HPV16/18+ and/or cytology results and could reduce the numerous unnecessary colposcopy referrals and avoid overtreatment.

Indexed as

DNA MethylationAdultAgedArea Under CurveChinaCross-Sectional StudiesEarly Detection of CancerEpigenesis, GeneticFemaleHuman papillomavirus 16Human papillomavirus 18HumansMiddle AgedPapillomavirus InfectionsPregnancySensitivity and SpecificityCervical cancerClassifierHSILMethylationS5ScreeningTriage

Identifiers

PMID32317020
PMCPMC7175486

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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.