Evidence map›Paper›PMID 32157809›Full record

SynthesisInfluenza and other respiratory viruses2020

Seroprevalence of H7N9 infection among humans: A systematic review and meta-analysis.

Qiang Wang, Ke Xu, Weihua Xie, Liuqing Yang, Haiyan Chen, Naiyang Shi, Changjun Bao, Haodi Huang, Xuefeng Zhang, Yilan Liao and 1 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Influenza and other respiratory viruses, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 3 pooled it
0.4field-weighted citation impact, top 36% 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

8 citing papers in PubMed, 3 syntheses or guidelines pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Observational
  6. Viral factors underlying the pandemic potential of influenza viruses.Microbiology and molecular biology reviews : MMBR · 2025
    Review
  7. Article
  8. 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

11 authors at 4 institutions in 1 country.

Qiang WangDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.
Ke XuJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Weihua XieDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.
Liuqing YangDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.
Haiyan ChenDepartment of Laboratory Medicine, The First Affiliated Hospital, Nanjing Medical University, Nanjing, China.
Naiyang ShiDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.
Changjun BaoJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Haodi HuangJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Xuefeng ZhangJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Yilan LiaoThe State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Hui JinDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.ORCID 0000-0003-0071-9755
Southeast University · CNJiangsu Provincial Center for Disease Control and Prevention · CNChinese Academy of Sciences · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In spring 2013, a novel avian-origin influenza A (H7N9) virus emerged in mainland China. The burden of H7N9 infection was estimated based on systematic review and meta-analysis. The systematic search for available literature was conducted using Chinese and English databases. We calculated the pooled seroprevalence of H7N9 infection and its 95% confidence interval by using Freeman-Tukey double arcsine transformation. Out of 16 890 records found using Chinese and English databases, 54 articles were included in the meta-analysis. These included studies of a total of 64 107 individuals. The pooled seroprevalence of H7N9 infection among humans was 0.122% (95% CI: 0.023, 0.275). In high-risk populations, the highest pooled seroprevalence was observed among close contacts (1.075%, 95% CI: 0.000, 4.357). The seroprevalence among general population was (0.077%, 95% CI: 0.011, 0.180). Our study discovered that asymptomatic infection of H7N9 virus did occur, even if the seroprevalence among humans was low.

Indexed as

Influenza A Virus, H7N9 SubtypeAnimalsChickensChinaCost of IllnessHumansInfluenza, HumanInfluenza in BirdsRisk FactorsSeasonsSeroepidemiologic StudiesZoonosesH7N9influenza Ameta-analysisseroprevalencesystematic review

Identifiers

PMID32157809
PMCPMC7431636
OpenAlexW3011544590

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.