Evidence map›Paper›PMID 32193689›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2020

Assessing a diagnosis tool for bacterial vaginosis.

Ravesh Singh, Veron Ramsuran, Nireshni Mitchev, Abraham Johannes Niehaus, Khine Swe Swe Han, Farzana Osman, Sinaye Ngcapu, Salim Abdool Karim, Anne Rompalo, Nigel Garrett and 1 more

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In one paragraph

Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. International journal of systematic and evolutionary microbiology · 2019
    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.

Ravesh SinghDepartment of Microbiology, National Health Laboratory Services, KwaZulu-Natal Academic Complex, Inkosi Albert Luthuli Central Hospital, Durban, South Africa. singhra@ukzn.ac.za.
Veron RamsuranSchool of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal (UKZN), Durban, South Africa.
Nireshni MitchevDepartment of Microbiology, National Health Laboratory Services, KwaZulu-Natal Academic Complex, Inkosi Albert Luthuli Central Hospital, Durban, South Africa.
Abraham Johannes NiehausDepartment of Microbiology, National Health Laboratory Services, KwaZulu-Natal Academic Complex, Inkosi Albert Luthuli Central Hospital, Durban, South Africa.
Khine Swe Swe HanDepartment of Microbiology, National Health Laboratory Services, KwaZulu-Natal Academic Complex, Inkosi Albert Luthuli Central Hospital, Durban, South Africa.
Farzana OsmanCentre for the AIDS Programme of Research in South Africa (CAPRISA), UKZN, Durban, South Africa.
Sinaye NgcapuCentre for the AIDS Programme of Research in South Africa (CAPRISA), UKZN, Durban, South Africa.
Salim Abdool KarimCentre for the AIDS Programme of Research in South Africa (CAPRISA), UKZN, Durban, South Africa.
Anne RompaloJohns Hopkins University, Baltimore, USA.
Nigel GarrettCentre for the AIDS Programme of Research in South Africa (CAPRISA), UKZN, Durban, South Africa.
Koleka MlisanaDepartment of Microbiology, National Health Laboratory Services, KwaZulu-Natal Academic Complex, Inkosi Albert Luthuli Central Hospital, Durban, South Africa.

Funding

UK royal society FLR\R1\190204
6 · The paper itself

Abstract

Diagnosis of bacterial vaginosis (BV) in resource-poor settings relies on semiquantitative microscopy algorithm such as the Nugent score (NS). We evaluated a quantitative real-time PCR (qPCR) assay to detect and quantify individual BV-associated bacterial communities. Vaginal swabs from 247 South African women attending an STI clinic were evaluated for BV using NS. We used qPCR to analyze DNA from vaginal swabs for eight BV-associated bacteria, Gardnerella vaginalis (GV), Prevotella bivia (PB), BV-associated bacteria 2 (BVAB2), Megasphaera-1 (M-1), Atopobium vaginae (AV), Lactobacillus crispatus (LC), Lactobacillus jensenii (LJ), and Lactobacillus iners (LI). Sensitivities and specificities were generated for each qPCR assay. Using a ROC analysis, cutoffs were calculated for each bacterial species. A logistic regression model was used to determine the strongest predictors of BV status. Nugent scores indicated 35.6% of patients harbor BV-associated flora (NS 7-10). AV, GV, GAMB (GV + AV + M-1 + BVAB2), and LC + LJ showed the highest AUC, sensitivities, and specificities (listed respectively): AV (0.96; 96%; 93%), GV (0.88; 78%; 79%), GAMB (0.9; 87%; 82%), and LC + LJ (0.84; 82%; 72%) (all p < 0.05). Increased GAMB copies (effect = 0.15, p = 0.01) and decreased LC + LJ copies (effect = - 0.26, p < 0.0001) demonstrated the strongest association with higher BV scoring. Scoring of BV did not differ across our qPCR assay when compared to the commercial BD MAX® and the gold standard Nugent scores. We developed an accurate assay, which has the potential to be used as a BV diagnosis tool that is cost-effective and has the potential to be utilized in a resource limited setting.

Indexed as

ActinobacteriaAdultArea Under CurveDNA, BacterialFemaleGardnerella vaginalisHumansLactobacillusPredictive Value of TestsPrevotellaReal-Time Polymerase Chain ReactionSpecimen HandlingVaginosis, BacterialYoung AdultDNA, BacterialBacterial vaginosisDiagnosisReal-time PCR

Identifiers

PMID32193689

What OpenQuestion holds

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Registered trials

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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.