Evidence map›Paper›PMID 27776489›Full record

ArticleBMC infectious diseases2016

Respiratory microbes present in the nasopharynx of children hospitalised with suspected pulmonary tuberculosis in Cape Town, South Africa.

Felix S Dube, Mamadou Kaba, F J Lourens Robberts, Lemese Ah Tow, Sugnet Lubbe, Heather J Zar, Mark P Nicol

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Influenza and tuberculosis co-infection: A systematic review.Influenza and other respiratory viruses · 2020
    Pooled it
  3. Review
  4. Article
  5. Review
  6. Longitudinal Dynamics of a Blood Transcriptomic Signature of Tuberculosis.American journal of respiratory and critical care medicine · 2021
    Observational
  7. SARS-CoV-2 and immune-microbiome interactions: Lessons from respiratory viral infections.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021
    Review
  8. Article
  9. Observational
  10. [Characteristics of pulmonary function in infants and young children with pertussis-like coughing].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2020
    Article
  11. SARS-CoV-2: fear versus data.International journal of antimicrobial agents · 2020
    Article
  12. Etiology of Pulmonary Infections in Human Immunodeficiency Virus-infected Inpatients Using Sputum Multiplex Real-time Polymerase Chain Reaction.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Development of a clinical prediction rule to diagnoseSouthern African journal of HIV medicine · 2018
    Article
  18. 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

7 authors at 3 institutions in 1 country.

Felix S DubeDivision of Medical Microbiology, Department of Pathology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa. felix.dube@uct.ac.za.
Mamadou KabaDivision of Medical Microbiology, Department of Pathology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
F J Lourens RobbertsDivision of Medical Microbiology, Department of Pathology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Lemese Ah TowDivision of Medical Microbiology, Department of Pathology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Sugnet LubbeDepartment of Statistical Sciences, Faculty of Science, University of Cape Town, Cape Town, South Africa.
Heather J ZarDepartment of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, Cape Town, South Africa.
Mark P NicolDivision of Medical Microbiology, Department of Pathology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
University of Cape Town · ZAGroote Schuur Hospital · ZASouth African Medical Research Council · ZA

Funding

The nasopharyngeal microbiota of African children and lower respiratory tract infectionU54HG009824 · NHGRI · UNIVERSITY OF CAPE TOWN · PI NICOL, MARK PATRICK · 2017 to 2021
$2.9M
Diagnosis of Tuberculosis in HIV-infected children & development of microbiologicR01HD058971 · NICHD · UNIVERSITY OF CAPE TOWN · PI ZAR, HEATHER JOY · 2008 to 2012
$2.2M
The nasopharyngeal microbiome and respiratory disease in African childrenU01AI110466 · NIAID · UNIVERSITY OF CAPE TOWN · PI NICOL, MARK PATRICK, ZAR, HEATHER JOY · 2013 to 2016
$1.4M
NHGRI NIH HHS U54 HG009824NIAID NIH HHS U01 AI110466NICHD NIH HHS R01 HD058971Wellcome TrustWellcome Trust 102429/Z/13/Z
6 · The paper itself

Abstract

backgroundLower respiratory tract infection in children is increasingly thought to be polymicrobial in origin. Children with symptoms suggestive of pulmonary tuberculosis (PTB) may have tuberculosis, other respiratory tract infections or co-infection with Mycobacterium tuberculosis and other pathogens. We aimed to identify the presence of potential respiratory pathogens in nasopharyngeal (NP) samples from children with suspected PTB.

methodNP samples collected from consecutive children presenting with suspected PTB at Red Cross Children's Hospital (Cape Town, South Africa) were tested by multiplex real-time RT-PCR. Mycobacterial liquid culture and Xpert MTB/RIF was performed on 2 induced sputa obtained from each participant. Children were categorised as definite-TB (culture or qPCR [Xpert MTB/RIF] confirmed), unlikely-TB (improvement of symptoms without TB treatment on follow-up) and unconfirmed-TB (all other children).

resultsAmongst 214 children with a median age of 36 months (interquartile range, [IQR] 19-66 months), 34 (16 %) had definite-TB, 86 (40 %) had unconfirmed-TB and 94 (44 %) were classified as unlikely-TB. Moraxella catarrhalis (64 %), Streptococcus pneumoniae (42 %), Haemophilus influenzae spp (29 %) and Staphylococcus aureus (22 %) were the most common bacteria detected in NP samples. Other bacteria detected included Mycoplasma pneumoniae (9 %), Bordetella pertussis (7 %) and Chlamydophila pneumoniae (4 %). The most common viruses detected included metapneumovirus (19 %), rhinovirus (15 %), influenza virus C (9 %), adenovirus (7 %), cytomegalovirus (7 %) and coronavirus O43 (5.6 %). Both bacteria and viruses were detected in 73, 55 and 56 % of the definite, unconfirmed and unlikely-TB groups, respectively. There were no significant differences in the distribution of respiratory microbes between children with and without TB. Using quadratic discriminant analysis, human metapneumovirus, C. pneumoniae, coronavirus 043, influenza virus C virus, rhinovirus and cytomegalovirus best discriminated children with definite-TB from the other groups of children.

conclusionsA broad range of potential respiratory pathogens was detected in children with suspected TB. There was no clear association between TB categorisation and detection of a specific pathogen. Further work is needed to explore potential pathogen interactions and their role in the pathogenesis of PTB.

Indexed as

ChildChild, PreschoolCoinfectionFemaleHospitalizationHumansInfantMaleMultiplex Polymerase Chain ReactionNasopharynxRespiratory Tract InfectionsSouth AfricaSputumTuberculosis, PulmonaryInfectionMicrobiotaMycobacterium tuberculosisNasopharynxRespiratory microbesTuberculosis

Identifiers

PMID27776489
PMCPMC5075757
OpenAlexW2538186833

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.