Evidence map›Paper›PMID 39897482›Full record

ArticleFrontiers in cellular and infection microbiology2024

Prevalence and clinical correlates of

Lisa Himschoot, Guy Mulinganya, Tess Rogier, Ghislain Bisimwa, Freddy Kampara, Yvette Kujirakwinja, Jules Mongane, Innocent Mubalama, Steven Callens, Mario Vaneechoutte and 1 more

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

11 authors.

Lisa HimschootDepartment of Diagnostic Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
Guy MulinganyaFaculty of Medicine, Catholic University of Bukavu, Bukavu, Democratic Republic of Congo.
Tess RogierDepartment of Diagnostic Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
Ghislain BisimwaFaculty of Medicine, Catholic University of Bukavu, Bukavu, Democratic Republic of Congo.
Freddy KamparaFaculty of Medicine, Catholic University of Bukavu, Bukavu, Democratic Republic of Congo.
Yvette KujirakwinjaFaculty of Medicine, Catholic University of Bukavu, Bukavu, Democratic Republic of Congo.
Jules MonganeFaculty of Medicine, Catholic University of Bukavu, Bukavu, Democratic Republic of Congo.
Innocent MubalamaDepartment of Obstetrics and Gynecology, Hôpital Provincial Général de Référence de Bukavu, Bukavu, Democratic Republic of Congo.
Steven CallensDepartment of Obstetrics and Gynecology, Hôpital Provincial Général de Référence de Bukavu, Bukavu, Democratic Republic of Congo.
Mario VaneechoutteDepartment of Diagnostic Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
Piet CoolsDepartment of Diagnostic Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: From 331 pregnant women from the Democratic Republic of the Congo, BV was diagnosed using Nugent scoring and a cervicovaginal lavage was used to quantify Results: Here, Conclusion: All

Indexed as

GardnerellaLactobacillusLactobacillus crispatusPregnancy Complications, InfectiousVaginosis, BacterialActinobacteriaAdultDemocratic Republic of the CongoFemaleGardnerella vaginalisHumansPregnancyPrevalenceROC CurveVaginaYoung Adultbacterial vaginosisDemocratic Republic of the CongoGardnerellalow birthweightmolecular diagnosispreterm birth

Identifiers

PMID39897482
PMCPMC11782042

What OpenQuestion holds

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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.