Evidence map›Paper›PMID 29212467›Full record

ArticleBMC infectious diseases2017

Excess pneumonia and influenza mortality attributable to seasonal influenza in subtropical Shanghai, China.

Xinchun Yu, Chunfang Wang, Tao Chen, Wenyi Zhang, Huiting Yu, Yuelong Shu, Wenbiao Hu, Xiling Wang

Abstract read
In one paragraph

Article in BMC infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Review
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  10. Estimating Influenza-associated Mortality in Korea: The 2009-2016 Seasons.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2019
    Article
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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

8 authors.

Xinchun YuDepartment of Biostatistics, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, 200231 Xuhui District, Shanghai, China.
Chunfang WangShanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
Tao ChenNational Institute for Viral Disease Control and Prevention, China Centers for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China.
Wenyi ZhangInstitute of Disease Control and Prevention, Academy of Military Medical Science, Beijing, China.
Huiting YuShanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
Yuelong ShuNational Institute for Viral Disease Control and Prevention, China Centers for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China.
Wenbiao HuSchool of Public Health and Social Work, Queensland University of Technology, Kelvin Grove, Brisbane, QLD, 4059, Australia. w2.hu@qut.edu.au.ORCID 0000-0002-4172-246X
Xiling WangDepartment of Biostatistics, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, 200231 Xuhui District, Shanghai, China. erinwang@fudan.edu.cn.

Funding

National Nature and Science Foundation of China 81602936
6 · The paper itself

Abstract

backgroundDisease burden attributable to influenza is substantial in subtropical regions. Our study aims to estimate excess pneumonia and influenza (P&I) mortality associated with influenza by subtypes/lineages in Shanghai, China, 2010-2015.

methodsQuasi-Poisson regression models were fitted to weekly numbers of deaths from causes coded as P&I for Shanghai general and registered population. Three proxies for influenza activity were respectively used as an explanatory variable. Long-term trend, seasonal trend and absolute humidity were adjusted for as confounding factors. The outcome measurements of excess P&I mortality associated with influenza subtypes/lineages were derived by subtracting the baseline mortality from fitted mortality.

resultsExcess P&I mortality associated with influenza were 0.22, 0.30, and 0.23 per 100,000 population for three different proxies in Shanghai general population, lower than those in registered population (0.34, 0.48, and 0.36 per 100,000 population). Influenza B (Victoria) lineage did not contribute to excess P&I mortality (P = 0.206) while influenza B (Yamagata) lineage did (P = 0.044). Influenza-associated P&I mortality was high in the elderly population.

conclusionsSeasonal influenza A virus had a higher P&I mortality than influenza B virus, while B (Yamagata) lineage is the dominant lineage attributable to P&I mortality.

Indexed as

Influenza A Virus, H1N1 SubtypeInfluenza A Virus, H3N2 SubtypeInfluenza B virusAgedChinaHumansInfluenza, HumanMiddle AgedPneumoniaPoisson DistributionSeasonsExcess mortalityInfluenzaInfluenza-like illnessQuasi-Poisson modelm

Identifiers

PMID29212467
PMCPMC5719671

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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.