Evidence map›Paper›PMID 36248283›Full record

ArticleIranian journal of public health2022

Investigation and Analysis of 49343 Case Women's Vaginal Microecology.

Qiuhua Jia, Fei Yu, Yong Ding, Qi Cao, Hua Wei, Chunling Ma

Open access · goldAbstract read
In one paragraph

Article in Iranian journal of public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 53% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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 2 institutions in 1 country.

Qiuhua JiaDepartment of Clinical Laboratory, Women and Children's Health Care Hospital of Linyi, Linyi 276000, Shandong Provnce, P.R. China.
Fei YuDepartment of Clinical Laboratory, Affiliated Hospital of Shandong Medical College Linyi, Linyi, 276000, Shandong Provnce, P.R. China.
Yong DingBirth Defect Study Laboratory, Women and Children's Health Care Hospital of Linyi, Linyi 276000, Shandong Province, P.R. of China.
Qi CaoBirth Defect Study Laboratory, Women and Children's Health Care Hospital of Linyi, Linyi 276000, Shandong Province, P.R. of China.
Hua WeiDepartment of Clinical Laboratory, Women and Children's Health Care Hospital of Linyi, Linyi 276000, Shandong Provnce, P.R. China.
Chunling MaBirth Defect Study Laboratory, Women and Children's Health Care Hospital of Linyi, Linyi 276000, Shandong Province, P.R. of China.
Linyi People's Hospital · CNShandong First Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: We aimed to investigate the pathogen infection in vaginal secretions of women in Linyi area. Methods: From October 2016 to September 2018, a total of 49,343 vaginal secretion specimens from women who attended Women and Children's Health Care Hospital of Linyi District, Shandong Province, China were used to detect the cleanliness, Results: Among the 49343 patients, 6377 had vaginal cleanliness of degree I∼II, the detection rate was 37.89%; 10455 cases of III∼IV degree, the detection rate was 62.11%; 13193 cases of simple vaginal pathogen infection, the detection rate was 26.74%. Among them, 9256 cases of vaginal Conclusion: The incidence of VVC women with vaginitis in Linyi was the highest, and the incidence was mainly between 18 and 40 years old. The infection rate of VVC, BV and MVI pathogens was the highest in summer, and the infection rate of TV was the highest in autumn.

Indexed as

CandidaTrichomonasVaginal secretionsVaginitis

Identifiers

PMID36248283
PMCPMC9529740
OpenAlexW4285803749

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.