Evidence map›Paper›PMID 36262267›Full record

ReviewInfectious Disease Modelling2022

Effectivity and efficacy probiotics for Bacterial Vaginosis treatments: Meta-analysis.

Sri Adila Nurainiwati, Mochammad Ma'roef, Dwi Nurwulan Pravitasari, Probo Yudha Pratama Putra

Abstract readReview
In one paragraph

Review in Infectious Disease Modelling, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Vaginal microbiome and its implications in preterm birth.Obstetrics & gynecology science · 2025
    Review
  6. Review
  7. 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

4 authors.

Sri Adila NurainiwatiDepartment Dermatology and Venereology, Medical Faculty University of Muhammadiyah Malang, Malang, Indonesia.
Mochammad Ma'roefDepartment Obstetric and Gynecology, Medical Faculty, University of Muhammadiyah Malang, Malang, Indonesia.
Dwi Nurwulan PravitasariDepartment Dermatology and Venereology, Medical Faculty University of Muhammadiyah Malang, Malang, Indonesia.
Probo Yudha Pratama PutraMedical Faculty University of Muhammadiyah Malang, Malang, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Bacterial Vaginosis (BV) is the most common cause of vaginal discharge. However, in some cases, side effects and resistance rates have been reported when antibiotics are administered. This problem has prompted several investigations on the administration of probiotics as an adjunct therapy to treat this infection. Objection: This study aims to conduct a meta-analysis based on evidence to determine the efficacy and safety of probiotic and antibiotic treatments. Methods: The meta-analysis was performed using PRISMA guidelines. The literature review was conducted in December 2020 using PubMed, Science Direct, Cochrane Library, and RevMan V.5.3. Result: The results showed a high and significant cure rate from the analysis of 1006 and 528 samples of probiotics and non-probiotics or control in 16 studies. The recurrence rate was statistically significant with probiotic treatment. Furthermore, neither procedures nor therapy failure showed a significantly lower adverse event rate than the control group. Conclusion: Probiotic shows better results compared to the control group. However, both have the same occurrence of adverse event.

Indexed as

AntibioticsBacterial VaginosisBV, Bacterial VaginosisCDC, Centers for Disease ControlCRISPR, Clustered regularly interspaced short palindromic repeat-associatedProbioticsRCTs, Randomized Control Trials

Identifiers

PMID36262267
PMCPMC9576480

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.