Evidence map›Paper›PMID 23803487›Full record

ArticleLancet (London, England)2013

Human infection with avian influenza A H7N9 virus: an assessment of clinical severity.

Hongjie Yu, Benjamin J Cowling, Luzhao Feng, Eric H Y Lau, Qiaohong Liao, Tim K Tsang, Zhibin Peng, Peng Wu, Fengfeng Liu, Vicky J Fang and 13 more

Open access · bronzeAbstract read
In one paragraph

Article in Lancet (London, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 154 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
154citing papers in PubMed, 8 pooled it
30.7field-weighted citation impact, top 1% 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

154 citing papers in PubMed, 8 syntheses or guidelines pooled it, 256 citations in OpenAlex.

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  10. The emergence of highly pathogenic avian influenza H5N1 in dairy cattle: implications for public health, animal health, and pandemic preparedness.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
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94 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors at 3 institutions in 2 countries.

Hongjie YuDivision of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China.
Benjamin J Cowling
Luzhao Feng
Eric H Y Lau
Qiaohong Liao
Tim K Tsang
Zhibin Peng
Peng Wu
Fengfeng Liu
Vicky J Fang
Honglong Zhang
Ming Li
Lingjia Zeng
Zhen Xu
Zhongjie Li
Huiming Luo
Qun Li
Zijian Feng
Bin Cao
Weizhong Yang
Joseph T Wu
Yu Wang
Gabriel M Leung
Chinese Center For Disease Control and Prevention · CNUniversity of Hong Kong · HKBeijing Chao-Yang Hospital · 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 HHSN266200700005CNIAID NIH HHS N01 AI070005NIAID NIH HHS U19 AI051915NIAID NIH HHS U19 AI51915NIGMS NIH HHS U54 GM088558
6 · The paper itself

Abstract

backgroundCharacterisation of the severity profile of human infections with influenza viruses of animal origin is a part of pandemic risk assessment, and an important part of the assessment of disease epidemiology. Our objective was to assess the clinical severity of human infections with avian influenza A H7N9 virus, which emerged in China in early 2013.

methodsWe obtained information about laboratory-confirmed cases of avian influenza A H7N9 virus infection reported as of May 28, 2013, from an integrated database built by the Chinese Center for Disease Control and Prevention. We estimated the risk of fatality, mechanical ventilation, and admission to the intensive care unit for patients who required hospital admission for medical reasons. We also used information about laboratory-confirmed cases detected through sentinel influenza-like illness surveillance to estimate the symptomatic case fatality risk.

findingsOf 123 patients with laboratory-confirmed avian influenza A H7N9 virus infection who were admitted to hospital, 37 (30%) had died and 69 (56%) had recovered by May 28, 2013. After we accounted for incomplete data for 17 patients who were still in hospital, we estimated the fatality risk for all ages to be 36% (95% CI 26-45) on admission to hospital. Risks of mechanical ventilation or fatality (69%, 95% CI 60-77) and of admission to an intensive care unit, mechanical ventilation, or fatality (83%, 76-90) were high. With assumptions about coverage of the sentinel surveillance network and health-care-seeking behaviour for patients with influenza-like illness associated with influenza A H7N9 virus infection, and pro-rata extrapolation, we estimated that the symptomatic case fatality risk could be between 160 (63-460) and 2800 (1000-9400) per 100,000 symptomatic cases.

interpretationHuman infections with avian influenza A H7N9 virus seem to be less serious than has been previously reported. Many mild cases might already have occurred. Continued vigilance and sustained intensive control efforts are needed to minimise the risk of human infection.

fundingChinese Ministry of Science and Technology; Research Fund for the Control of Infectious Disease; Hong Kong University Grants Committee; China-US Collaborative Program on Emerging and Re-emerging Infectious Diseases; Harvard Center for Communicable Disease Dynamics; US National Institute of Allergy and Infectious Disease; and the US National Institutes of Health.

Indexed as

Disease OutbreaksInfluenza A virusAdolescentAdultAgedAge DistributionAnimalsChildChild, PreschoolChinaCommunicable Diseases, EmergingFemaleHospitalizationHumansIncidenceInfant

Identifiers

PMID23803487
PMCPMC3801178
OpenAlexW2127974353

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.