Evidence map›Paper›PMID 33198686›Full record

ArticleBMC infectious diseases2020

Features of Streptococcus agalactiae strains recovered from pregnant women and newborns attending different hospitals in Ethiopia.

Musa Mohammed Ali, Yimtubezinash Woldeamanuel, Daniel Asrat, Demissie Assegu Fenta, Bernard Beall, Stephanie Schrag, Lesley McGee

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 13% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
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  10. Diagnostic Performance of Various Methodologies for Group B SFrontiers in cellular and infection microbiology · 2021
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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

7 authors at 3 institutions in 2 countries.

Musa Mohammed AliHawassa University College of Medicine and Health Sciences, School of Medical laboratory Science, Hawassa, Ethiopia. ysnmss@yahoo.com.ORCID http://orcid.org/0000-0001-7786-3400
Yimtubezinash WoldeamanuelDepartment of Microbiology, Immunology and Parasitology, Addis Ababa University College of Health Science, Addis Ababa, Ethiopia.
Daniel AsratDepartment of Microbiology, Immunology and Parasitology, Addis Ababa University College of Health Science, Addis Ababa, Ethiopia.
Demissie Assegu FentaHawassa University College of Medicine and Health Sciences, School of Medical laboratory Science, Hawassa, Ethiopia.
Bernard BeallRespiratory Diseases Branch, Centers of Disease Control and Prevention (CDC), Atlanta, USA.
Stephanie SchragRespiratory Diseases Branch, Centers of Disease Control and Prevention (CDC), Atlanta, USA.
Lesley McGeeRespiratory Diseases Branch, Centers of Disease Control and Prevention (CDC), Atlanta, USA.
Centers for Disease Control and Prevention · USAddis Ababa University · ETHawassa University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStreptococcus agalactiae (Group B Streptococcus, GBS) serotypes, sequence types, and antimicrobial resistance profile vary across different geographic locations affecting disease patterns in newborns. These differences are important considerations for vaccine development efforts and data from large countries in Africa is limited. The aim of this study was to determine serotypes and genotypes of GBS isolates from pregnant women and their newborns in Ethiopia.

methodsA hospital based cross-sectional study was conducted at three hospitals in Ethiopia from June 2014 to September 2015. Out of 225 GBS isolates, 121 GBS were recovered, confirmed and characterized at CDC's Streptococcus Laboratory using conventional microbiology methods and whole genome sequencing.

resultsOf the 121 isolates, 87 were from rectovaginal samples of pregnant women, 32 from different body parts of their newborns and 2 from blood of newborns with suspected sepsis. There were 25 mother-infant pairs and 24 pairs had concordant strains. The most prevalent serotypes among mothers and/or their babies were II, Ia and V (41.5, 20.6, 19.5 and 40.6%, 25 and 15.6%, respectively). Multilocus sequence typing (MLST) on 83 isolates showed ST10 (24; 28.9%) and ST2 (12; 14.5%) as most predominant sequence types. All GBS strains were susceptible to penicillin, cefotaxime and vancomycin, which correlated to the presence of wildtype PBP2x types and the lack of known vancomycin-resistance genes. Tetracycline resistance was high (73; 88%, associated primarily with tetM, but also tetO and tetL). Five isolates (6%) were resistant to erythromycin and clindamycin and 3 isolates were fluoroquinolone-resistant, containing associated mutations in gyrA and parC genes. All isolates were positive for one of four homologous Alpha/Rib family determinants and 1-2 of the three main pilus types.

conclusionsPredominant serotypes were II, Ia, and V. A limited number of clonal types were identified with two STs accounting for about half of the isolates. All strains collected in this study were susceptible to beta-lactam antibiotics and vancomycin. Typical of most GBS, these isolates were positive for single alpha-like family protein, serine-rich repeat gene, as well as 1-2 pilus determinants.

Indexed as

GenotypeSerogroupAnti-Bacterial AgentsCross-Sectional StudiesDrug Resistance, BacterialEthiopiaFemaleHumansInfant, NewbornMicrobial Sensitivity TestsMultilocus Sequence TypingPregnancyPregnancy Complications, InfectiousProspective StudiesSepsisStreptococcal InfectionsAnti-Bacterial AgentsAntibiotic resistanceGBSS. agalactiaeSequence typeSerotype

Identifiers

PMID33198686
PMCPMC7668015
OpenAlexW3099672986

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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.