Evidence map›Paper›PMID 36458074›Full record

ArticleJournal of obstetrics and gynaecology of India2022

Vaginal pH Estimation, an Additional Tool for RTI/STI Community Screening.

Noopur Prasad, Nitya Vyas, Manju Sharma

Open access · greenAbstract read
In one paragraph

Article in Journal of obstetrics and gynaecology of India, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 91% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 1 institution in 1 country.

Noopur PrasadMahila Chikitsalaya, SMS Medical College, Sanganeri Gate, Jaipur, Rajasthan India.ORCID 0000-0002-3680-9229
Nitya VyasMahila Chikitsalaya, SMS Medical College, Sanganeri Gate, Jaipur, Rajasthan India.
Manju SharmaMahila Chikitsalaya, SMS Medical College, Sanganeri Gate, Jaipur, Rajasthan India.
SMS Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To study laboratory evidence of infection in STI/RTI cases managed by syndromic approach. To evaluate vaginal pH estimation as an additional supplementary tool for community screening of STI/ RTI cases. Material and Methods: Study was conducted in department of Gynecology and Obstetrics, Mahila Chikiksalaya Sanganeri gate Jaipur in collaboration with Department of Microbiology, SMS Medical College Jaipur, Rajasthan. STI cases screened by syndromic approach attending the STI clinic were included in study. Vaginal pH of these cases was measured with help of Jaipur pink V strip. Cases with vaginal pH more than five and less than 5 were grouped separately. Evidence of infection was assessed in both groups by performing predefined battery of tests. Results of both the groups were analyzed. Results: Laboratory evidence of infection was seen in 78% of syndromically screened RTIs/STI cases while screening by combined approach, i.e., syndromic approach and Vaginal pH estimation both, showed positive predictability of 92% with 75% sensitivity and 79% specificity. Conclusion: Laboratory evidence of infection was found in 92% of RTI/STI cases when screened by combined approach as compared to 78% in syndromic approach alone. Vaginal strips being user friendly can be used as additional tool for community screening of RTI/STI.

Indexed as

Combined approach (syndromic approach with vaginal pH estimation both)Jaipur pink V strip (Jaipur pink vaginal strip)RTI/STIScreeningSyndromic approach

Identifiers

PMID36458074
PMCPMC9568640
OpenAlexW4286630344

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.