Evidence map›Paper›PMID 25523971›Full record

ArticleEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin2014

Clinical severity of human infections with avian influenza A(H7N9) virus, China, 2013/14.

L Feng, J T Wu, X Liu, P Yang, T K Tsang, H Jiang, P Wu, J Yang, V J Fang, Y Qin and 11 more

Open access · diamondAbstract read
In one paragraph

Article in Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.9field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Novel Avian Influenza A Virus Infections of Humans.Infectious disease clinics of North America · 2019
    Review
  4. Article
  5. Article
  6. Review
  7. Preliminary Epidemiologic Assessment of Human Infections With Highly Pathogenic Avian Influenza A(H5N6) Virus, China.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2017
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. 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

21 authors at 5 institutions in 2 countries.

L FengDivision of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China.
J T Wu
X Liu
P Yang
T K Tsang
H Jiang
P Wu
J Yang
V J Fang
Y Qin
E H Lau
M Li
J Zheng
Z Peng
Y Xie
Q Wang
Z Li
G M Leung
G F Gao
H Yu
B J Cowling
Chinese Center For Disease Control and Prevention · CNUniversity of Hong Kong · HKBeijing Center for Disease Prevention and Control · CNNanchang Center for Disease Control and Prevention · CNChinese Academy of Sciences · CN

Funding

Understanding and controlling antibiotic resistanceU54GM088558 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI BUCKEE, CAROLINE O'FLAHERTY · 2009 to 2018
$26.4M
Virology &ImmunologyU19AI051915 · NIAID · NATIONAL CENTER FOR AIDS/STD CONTROL AND PREVENTION · PI GAO, GEORGE FU · 2002 to 2009
$21.6M
NIAID NIH HHS U19 AI051915NIAID NIH HHS U19 AI51915NIGMS NIH HHS U54 GM088558
6 · The paper itself

Abstract

Assessing the severity of emerging infections is challenging because of potential biases in case ascertainment. The first human case of infection with influenza A(H7N9) virus was identified in China in March 2013; since then, the virus has caused two epidemic waves in the country. There were 134 laboratory-confirmed cases detected in the first epidemic wave from January to September 2013. In the second epidemic wave of human infections with avian influenza A(H7N9) virus in China from October 2013 to October 2014, we estimated that the risk of death among hospitalised cases of infection with influenza A(H7N9) virus was 48% (95% credibility interval: 42-54%), slightly higher than the corresponding risk in the first wave. Age-specific risks of death among hospitalised cases were also significantly higher in the second wave. Using data on symptomatic cases identified through national sentinel influenza-like illness surveillance, we estimated that the risk of death among symptomatic cases of infection with influenza A(H7N9) virus was 0.10% (95% credibility interval: 0.029-3.6%), which was similar to previous estimates for the first epidemic wave of human infections with influenza A(H7N9) virus in 2013. An increase in the risk of death among hospitalised cases in the second wave could be real because of changes in the virus, because of seasonal changes in host susceptibility to severe infection, or because of variation in treatment practices between hospitals, while the increase could be artefactual because of changes in ascertainment of cases in different areas at different times.

Indexed as

Disease OutbreaksAdultAnimalsChinaCommunicable Diseases, EmergingDisease NotificationFemaleHospitalizationHumansIncidenceInfantInfluenza A Virus, H7N9 SubtypeInfluenza, HumanInfluenza in BirdsPoultrySentinel Surveillance

Identifiers

PMID25523971
PMCPMC4454636
OpenAlexW2027493540

What OpenQuestion holds

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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.