ArticleInfection2018
Management of superficial and deep-seated Staphylococcus aureus skin and soft tissue infections in sub-Saharan Africa: a post hoc analysis of the StaphNet cohort.
Article in Infection, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 13 citations in OpenAlex.
- Temporal trends of skin and soft tissue infections caused by methicillin-resistant Staphylococcus aureus in Gabon.Antimicrobial resistance and infection control · 2024Article
- Bacterial isolates and their antimicrobial susceptibility profile of superficial and deep-seated skin and soft tissue infections.Asian biomedicine : research, reviews and news · 2023Article
- Neutralization of the Staphylococcus aureus Panton-Valentine leukocidin by African and Caucasian sera.BMC microbiology · 2022Article
- Implementation of an antimicrobial stewardship programme in three regional hospitals in the south-east of Liberia: lessons learned.JAC-antimicrobial resistance · 2022Article
- Article
- Characterization of Panton-Valentine leukocidin-positiveF1000Research · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 7 institutions in 6 countries.
Funding
Abstract
purposeThe incidence of Staphylococcus aureus skin and soft tissue infection (SSTI) is high in sub-Saharan Africa. This is fueled by a high prevalence of Panton-Valentine leukocidin (PVL), which can be associated with necrotizing disease. The aim was to describe the clinical presentation and the treatment of SSTI in the African setting and to identify challenges in the management.
methodsPatients (n = 319) were recruited in DR Congo (n = 56, 17.6%), Gabon (n = 89, 27.9%), Mozambique (n = 79, 24.8%) and Tanzania (n = 95, 29.8%) during the prospective observational StaphNet cohort study (2010-2015). A physician recorded the clinical management in standardized questionnaires and stratified the entity of SSTI into superficial (sSSTI) or deep-seated (dSSTI). Selected virulence factors (PVL, β hemolysin) and multilocus sequence types (MLST) were extracted from whole genome sequencing data.
resultsThere were 220/319 (69%) sSSTI and 99/319 (31%) dSSTI. Compared to sSSTI, patients with dSSTI were more often hospitalized (13.2 vs. 23.5%, p = 0.03), HIV-positive (7.6 vs. 15.9%, p = 0.11), and required more often incision and drainage (I&D, 45.5 vs. 76.5%, p = 0.04). The proportion of an adequate antimicrobial therapy increased marginally from day 1 (empirical therapy) to day 3 (definite therapy), for sSSTI (70.7 to 72.4%) and dSSTI (55.4 to 58.9%). PVL was a risk factor for I&D (OR = 1.7, p = 0.02) and associated with MLST clonal complex CC121 (OR = 2.7, p < 0.001).
conclusionAppropriate antimicrobial agents and surgical services to perform I&D were available for the majority of patients. Results from susceptibility testing should be considered more efficiently in the selection of antimicrobial therapy.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.