ArticleBMC medical informatics and decision making2015
Logic regression-derived algorithms for syndromic management of vaginal infections.
Article in BMC medical informatics and decision making, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Early detection of pancreatic cancer: Study design and analytical considerations in biomarker discovery and early phase validation studies.Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] · 2024Review
- Evaluation and optimization of the syndromic management of female genital tract infections in Nairobi, Kenya.BMC infectious diseases · 2023Article
- Using logic regression to characterize extreme heat exposures and their health associations: a time-series study of emergency department visits in Atlanta.BMC medical research methodology · 2021Article
- Syndromic Diagnosis in Evaluation of Women with Symptoms of Vaginitis.Current infectious disease reports · 2017Review
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Authors and funding
6 authors.
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Abstract
backgroundSyndromic management of vaginal infections is known to have poor diagnostic accuracy. Logic regression is a machine-learning procedure which allows for the identification of combinations of variables to predict an outcome, such as the presence of a vaginal infection.
methodsWe used logic regression to develop predictive models for syndromic management of vaginal infection among symptomatic, reproductive-age women in south India. We assessed the positive predictive values, negative predictive values, sensitivities and specificities of the logic regression procedure and a standard WHO algorithm against laboratory-confirmed diagnoses of two conditions: metronidazole-sensitive vaginitis [bacterial vaginosis or trichomoniasis (BV/TV)], and vulvovaginal candidiasis (VVC).
resultsThe logic regression procedure created algorithms which had a mean positive predictive value of 61 % and negative predictive value of 80 % for management of BV/TV, and a mean positive predictive value of 26 % and negative predictive value of 98 % for management of VVC. The results using the WHO algorithm were similarly mixed.
conclusionsThe logic regression procedure identified the most predictive measures for management of vaginal infections from the candidate clinical and laboratory measures. However, the procedure provided further evidence as to the limits of syndromic management for vaginal infections using currently available clinical measures.
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