Evidence map›Paper›PMID 38031114›Full record

ArticleInfectious agents and cancer2023

Association between co-infection with Chlamydia trachomatis or Mycoplasma genitalium and cervical lesions in HPV-positive population in Hunan, China: a cross-sectional study.

Mengjie Jiang, Hui Ding, Ling He, Danning Xu, Ping Jiang, Haoneng Tang, Qian Wang, Xuemei Wang, Lingli Tang

Open access · goldAbstract read
In one paragraph

Article in Infectious agents and cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Review
  6. Review
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

9 authors at 1 institution in 1 country.

Mengjie JiangDepartment of Laboratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Hui DingDepartment of Obstetrics and Gynecology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Ling HeDepartment of Obstetrics and Gynecology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Danning XuDepartment of Laboratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Ping JiangDepartment of Laboratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Haoneng TangDepartment of Laboratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Qian WangDepartment of Laboratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Xuemei WangDepartment of Laboratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Lingli TangDepartment of Laboratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China. linglitang@csu.edu.cn.
Central South University · CN

Funding

Natural Science Foundation of Changsha City kq2202415
6 · The paper itself

Abstract

objectivesThe aim of this study was to determine the prevalence of Chlamydia trachomatis (CT) and Mycoplasma genitalium (MG) among HPV-positive women undergoing colposcopy at the Second Xiangya Hospital of Central South University, Hunan, China. Additionally, we aimed to assess the impact of C. trachomatis or M. genitalium co-infection with HPV on the severity of cervical lesions.

methodsWe collected HPV data, cervical cytology results, and demographic information from 439 women attending colposcopy. Cervical swabs were obtained for simultaneous amplification testing (SAT) of C. trachomatis and M. genitalium. Multivariate logistic regression analyses were performed to examine the association between sexually transmitted pathogens and cervical lesions.

resultsAmong the participants, C. trachomatis was detected in 17 (3.87%) individuals, and M. genitalium in 16 (3.64%) individuals. There was no co-infection of C. trachomatis and M. genitalium. The highest prevalence of M. genitalium was observed in women aged 19-30 years (10.20%; 95% CI, 1.41-18.99%), with a subsequent decline in prevalence with increasing age (Ptrend = 0.014). The most common HPV subtype in our study was HPV52 (30.79%), followed by HPV16 (18.62%), HPV58 (16.95%), and HPV53 (10.02%). Infection with HPV16 (OR = 3.43, 95% CI, 2.13-5.53), HPV31 (OR = 3.70, 95% CI, 1.44-9.50), and HPV33 (OR = 3.71, 95% CI, 1.43-9.67) was associated with an increased severity of cervical lesions, while HPV53 infection was not likely to lead to advanced cervical lesions (OR = 0.45, 95% CI, 0.23-0.89). The leukocyte level in vaginal secretions (P = 0.042) and cervical cytology results (P < 0.001) showed associations with the degree of cervical lesions. However, there was no significant association between C. trachomatis or M. genitalium infection and the severity of cervical lesions, nor with their co-infection with HPV16.

conclusionsThere was no correlation between co-infection of Chlamydia trachomatis or Mycoplasma genitalium and the degree of cervical lesions in HPV-positive population in Hunan, China. Our findings emphasized the need to pay more attention to M. genitalium infection among young women. Increased levels of leukocytes in vaginal secretions may be linked to cervical lesions. HPV16, HPV31, and HPV33 in Hunan province, China, may exhibit higher cervical pathogenicity.

Indexed as

Cervical lesionsChinaChlamydia trachomatisHPVMycoplasma genitaliumSTIs

Identifiers

PMID38031114
PMCPMC10688104
OpenAlexW4389121094

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.