Evidence map›Paper›PMID 26885039›Full record

ArticleInternational journal of clinical and experimental medicine2015

Characteristics of bacterial vaginosis infection in cervical lesions with high risk human papillomavirus infection.

Huan Lu, Peng-Cheng Jiang, Xiao-Dan Zhang, Wen-Jing Hou, Zhen-Hong Wei, Jia-Qi Lu, Hao Zhang, Guang-Xu Xu, Yuan-Ping Chen, Yuan Ren and 3 more

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
0.7field-weighted citation impact, top 26% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. [Advances in Multi-omics Analysis of Cervical Cancer].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025
    Review
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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

13 authors at 6 institutions in 1 country.

Huan LuDepartment of Obstetrics and Gynecology, Fengxian Hospital, Southern Medical University Shanghai 201499, P. R. China.
Peng-Cheng JiangDepartment of Obstetrics and Gynecology, Changzhou NO. 2 People's Hospital Changzhou 213003, Jiangsu, P. R. China.
Xiao-Dan ZhangMedical College of Nanchang University Nanchang 330000, Jiangxi, P. R. China.
Wen-Jing HouDepartment of Obstetrics and Gynecology, Fengxian Hospital, Southern Medical University Shanghai 201499, P. R. China.
Zhen-Hong WeiDepartment of Obstetrics and Gynecology, Fengxian Hospital, Southern Medical University Shanghai 201499, P. R. China.
Jia-Qi LuObstetrics and Gynecology Hospital, Fudan University Shanghai 200011, P. R. China.
Hao ZhangObstetrics and Gynecology Hospital, Fudan University Shanghai 200011, P. R. China.
Guang-Xu XuDepartment of Obstetrics and Gynecology, Fengxian Hospital, Southern Medical University Shanghai 201499, P. R. China.
Yuan-Ping ChenDepartment of Obstetrics and Gynecology, Fengxian Hospital, Southern Medical University Shanghai 201499, P. R. China.
Yuan RenObstetrics and Gynecology Hospital, Fudan UniversityShanghai 200011, P. R. China; Changzhou Maternal and Child Health Care HospitalChangzhou 213003, Jiangsu, P. R. China.
Li WangChangzhou Maternal and Child Health Care Hospital Changzhou 213003, Jiangsu, P. R. China.
Rong ZhangDepartment of Obstetrics and Gynecology, Fengxian Hospital, Southern Medical University Shanghai 201499, P. R. China.
Ying HanDepartment of Obstetrics and Gynecology, Fengxian Hospital, Southern Medical University Shanghai 201499, P. R. China.
Southern Medical University · CNObstetrics and Gynecology Hospital of Fudan University · CNChangzhou No.2 People's Hospital · CNFuzhou Maternity and Child Health Care Hospital · CNHangzhou Children's Hospital · CNNanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledHigh risk human papillomavirus (HPV) infection is the major cause of cervical cancer. Bacterial vaginosis (BV) is considered as the most prevalent vaginal imbalance affecting women of reproductive age. However, the relationship between HPV and BV infection is unclear. This study aimed to assess the prevalence of human papillomavirus (HPV) infection combined with bacterial vaginosis (BV) infection in Shanghai suburbs and evaluate associations between bacterial vaginosis with HPV infection, cervical intraepithelial neoplasia (CIN) and cervical cancer.

methodsFrom October 1, 2009 to October 31, 2013, a total number of 3502 women who visited Fengxian Hospital, Southern Medical University were enrolled in this study. All participants gave informed consent and agreed to HPV, BV, chlamydia, mycoplasma and thinprepcytologic test (TCT). In addition, all women took histopathologic examination under colposcopy. Statistical analyses were done using SPSS 17.0 for windows (IBM). In present study the overall BV-positive rate was 9.25%. The top three high risk HPV types were listed as follows (in descending order): HPV16, 52, 58. Moreover, our data showed BV infection tended to occur in the HPV positive women, HPV infection also tended to occur in the BV positive women. Most of the women who present HPV with BV infection were younger than 30 years old. We also found that CIN and cervical cancer occurred mainly in HPV/BV positive and HPV with BV positive group. BV infection and HPV infection may haveconsistency or synergies. HPV with BV infection may increase the incidence of CIN and cervical cancer.

Indexed as

Bacterial vaginosis infectioncervical lesionHPV types

Identifiers

PMID26885039
PMCPMC4723884
OpenAlexW2435150479

What OpenQuestion holds

Textmetadata
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.