Evidence map›Paper›PMID 38486167›Full record

ArticleBMC infectious diseases2024

Characteristics of reproductive tract infections caused by common pathogens among the outpatients of reproductive medicine center in Putian: retrospective study.

Jiancheng Zeng, Tingli Wu, Laiping Wang, Liumin Yu, Hua Lin, Zhanfei Chen

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 7 citations in OpenAlex.

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    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

6 authors at 1 institution in 1 country.

Jiancheng ZengThe Affiliated Hospital of Putian University, Putian University, No.999 Dongzhen East Road, Licheng District, Putian, Fujian, China.
Tingli WuThe Affiliated Hospital of Putian University, Putian University, No.999 Dongzhen East Road, Licheng District, Putian, Fujian, China.
Laiping WangComprehensive Technology Service Center of Quanzhou Customs, Inspection and Quarantine Bureau Building, South Section of Citong East Road, Quanzhou, Fujian, China.
Liumin YuThe Affiliated Hospital of Putian University, Putian University, No.999 Dongzhen East Road, Licheng District, Putian, Fujian, China.
Hua LinThe Affiliated Hospital of Putian University, Putian University, No.999 Dongzhen East Road, Licheng District, Putian, Fujian, China. jimandmeme@126.com.
Zhanfei ChenThe Affiliated Hospital of Putian University, Putian University, No.999 Dongzhen East Road, Licheng District, Putian, Fujian, China. ptchenzf@163.com.
Putian University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aims to explore the infection and age distribution of Ureaplasma urealyticum (UU), Chlamydia trachomatis (CT), Neisseria gonorrhoeae (NG) and Herpes simplex virus type II (HSV II) among the outpatients of Reproductive Medicine Center in Putian, Fujian Province to provide a clinical basis for the early diagnosis and treatment of various reproductive tract diseases and infertility in this region.

methodsA total of 1736 samples of secretions and exfoliated cervical cells were collected from the outpatients of the Reproductive Medicine Center of the Affiliated Hospital of Putian University from December 2021 to April 2023. The infections of UU, CT, NG and HSVII were detected by real-time fluorescence polymerase chain reaction (PCR), and the infection statuses of the patients with different genders, ages and diagnoses were analysed.

resultsAmong the 1736 patients, 611 were male and 1125 were female. The male patients had higher UU infection rate but lower HSV II infection rate than the female patients. No significant difference in CT and NG infection rates was observed between the genders. The CT infection rate gradually decreased with the increase in the age. The difference in UU, NG and HSV II infection rates among the different age groups was not statistically significant. For UU infection, the male infertile patients had the highest rate of 37.72% (172/456). Meanwhile, the differences in CT, NG and HSV II infection rates among the different diagnosis groups were not statistically significant. Among the male and female infertile patients, the CT infection rate was the highest in the 21-25 years of age group at 11.11% (2/18) and 9.47% (9/95), respectively. No statistically significant difference in UU, CT, NG and HSV II infection rates was observed among the different age groups of patients diagnosed in relation to the family planning guidance and between the male and female patients with other diagnoses results.

conclusionsThis study showed that UU was the most frequently identified pathogen in infertile men in Putian, Fujian Province. The CT infection rate was the highest in people under 20 years old, and the infection showed a tendency toward young individuals. Therefore, the publicity of sexual health knowledge must be strengthened, and the prevention and treatment of venereal diseases among young and middle-aged people must be improved. Moreover, the pathogen infection is related to infertility to a certain extent, which is conducive to clinical diagnosis and treatment.

Indexed as

Chlamydia InfectionsHerpes SimplexInfertilityReproductive Tract InfectionsAdultAge DistributionChlamydia trachomatisFemaleHerpesvirus 2, HumanHumansMaleMiddle AgedNeisseria gonorrhoeaeOutpatientsRetrospective StudiesYoung AdultAgeFujian provinceInfertilityPutian cityReproductive medicine centreSTD pathogens

Identifiers

PMID38486167
PMCPMC10941379
OpenAlexW4392818886

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.