Evidence map›Paper›PMID 34528769›Full record

ArticleInfluenza and other respiratory viruses2022

Human respiratory syncytial virus diversity and epidemiology among patients hospitalized with severe respiratory illness in South Africa, 2012-2015.

Ziyaad Valley-Omar, Stefano Tempia, Orienka Hellferscee, Sibongile Walaza, Ebrahim Variava, Halima Dawood, Kathleen Kahn, Meredith McMorrow, Marthi Pretorius, Senzo Mtshali and 6 more

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In one paragraph

Article in Influenza and other respiratory viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.0field-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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

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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

16 authors at 4 institutions in 4 countries.

Ziyaad Valley-OmarNational Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.ORCID 0000-0003-4804-3774
Stefano TempiaCenters for Disease Control and Prevention, Pretoria, South Africa.ORCID 0000-0003-4395-347X
Orienka HellfersceeNational Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.ORCID 0000-0001-9246-8927
Sibongile WalazaNational Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.ORCID 0000-0001-7588-2480
Ebrahim VariavaUniversity of the Witwatersrand, Johannesburg, South Africa.
Halima DawoodUniversity of KwaZulu-Natal, KwaZulu-Natal, South Africa.
Kathleen KahnNational Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.
Meredith McMorrowCenters for Disease Control and Prevention, Pretoria, South Africa.ORCID 0000-0001-6363-4033
Marthi PretoriusNational Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.
Senzo MtshaliNational Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.
Ernest MamorobelaNational Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.
Nicole WolterNational Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.
Marietjie VenterNational Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.
Anne von GottbergNational Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.
Cheryl CohenNational Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.ORCID 0000-0003-0376-2302
Florette K TreurnichtUniversity of the Witwatersrand, Johannesburg, South Africa.
National Health Laboratory Service · ZACenters for Disease Control and Prevention · USGrey's Hospital · ZAUniversity of the Witwatersrand · ZA

Funding

CGH CDC HHS U19 GH000622NCIRD CDC HHS U51 IP000528
6 · The paper itself

Abstract

backgroundWe aimed to describe the prevalence of human respiratory syncytial virus (HRSV) and evaluate associations between HRSV subgroups and/or genotypes and epidemiologic characteristics and clinical outcomes in patients hospitalized with severe respiratory illness (SRI).

methodsBetween January 2012 and December 2015, we enrolled patients of all ages admitted to two South African hospitals with SRI in prospective hospital-based syndromic surveillance. We collected respiratory specimens and clinical and epidemiological data. Unconditional random effect multivariable logistic regression was used to assess factors associated with HRSV infection.

resultsHRSV was detected in 11.2% (772/6908) of enrolled patients of which 47.0% (363/772) were under the age of 6 months. There were no differences in clinical outcomes of HRSV subgroup A-infected patients compared with HRSV subgroup B-infected patients but among patients aged <5 years, children with HRSV subgroup A were more likely be coinfected with Streptococcus pneumoniae (23/208, 11.0% vs. 2/90, 2.0%; adjusted odds ratio 5.7). No significant associations of HRSV A genotypes NA1 and ON1 with specific clinical outcomes were observed.

conclusionsWhile HRSV subgroup and genotype dominance shifted between seasons, we showed similar genotype diversity as noted worldwide. We found no association between clinical outcomes and HRSV subgroups or genotypes.

Indexed as

Respiratory Syncytial Virus, HumanRespiratory Syncytial Virus InfectionsChildGenotypeHumansInfantPhylogenyProspective StudiesSouth Africahuman respiratory syncytial virussevere respiratory illnessSouth Africa

Identifiers

PMID34528769
PMCPMC8818822
OpenAlexW3200528245

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LicenceCC BY
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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.