Evidence map›Paper›PMID 20171584›Full record

ArticleJournal of the Chinese Medical Association : JCMA2010

Seroprevalence of antibodies to pandemic (H1N1) 2009 influenza virus among hospital staff in a medical center in Taiwan.

Yu-Jiun Chan, Chia-Ling Lee, Shinn-Jang Hwang, Chang-Phone Fung, Fu-Der Wang, David H T Yen, Cheng-Hsien Tsai, Yi-Ming Arthur Chen, Shou-Dong Lee

Open access · greenAbstract read
In one paragraph

Article in Journal of the Chinese Medical Association : JCMA, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
7.2field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Pandemic influenza A(H1N1)pdm09: risk of infection in primary healthcare workers.The British journal of general practice : the journal of the Royal College of General Practitioners · 2013
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  9. H1N1v at a seroepidemiological glance: is the nightmare over?European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2012
    Article
  10. Article
  11. Article
  12. Article
  13. Seroprevalence of antibodies to influenza A/H1N1/2009 among transmission risk groups after the second wave in Mexico, by a virus-free ELISA method.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2011
    Article
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  17. Seroprevalence to influenza A(H1N1) 2009 virus--where are we?Clinical and vaccine immunology : CVI · 2011
    Review
  18. Review
  19. Article
  20. 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

9 authors at 2 institutions in 1 country.

Yu-Jiun ChanDivision of Infectious Diseases, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Chia-Ling Lee
Shinn-Jang Hwang
Chang-Phone Fung
Fu-Der Wang
David H T Yen
Cheng-Hsien Tsai
Yi-Ming Arthur Chen
Shou-Dong Lee
National Yang Ming Chiao Tung University · TWTaipei Veterans General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe pandemic (H1N1) 2009 influenza emerged in April 2009 and spread rapidly and broadly all over the world. In addition to specific antiviral agents, massive vaccination is thought to be the most effective way of controlling the transmission. To understand the prevaccination status of certain risk groups, this study compared the baseline sero-prevalence of antibodies to the pandemic (H1N1) 2009 influenza virus among hospital staff with different contact risks and that of the general population.

methodsA total of 295 serum samples from hospital staff and 244 control serum samples from people who came for physical check-up (control group) were collected between October 2009 and November 2009 before the massive vaccination campaign. The hospital staff was divided into first-line risk personnel (group 1) and second-line risk personnel (group 2) according to their potential contact risks. Hemagglutination-inhibition (HI) tests were conducted to determine the individual serological status. The seropositive rate (SPR, defined as the proportion with HI titer >/= 1:40) of antibodies to H1N1 influenza virus and its geometric mean titer (GMT) were calculated and compared among the different groups.

resultsThe mean ages and sex ratio (% male) of the hospital staff and control groups were 36.9 +/- 10.6 years and 52.0 +/- 12.6 years, and 24.4% and 57.6%, respectively. The SPR of the antibodies to H1N1 influenza virus of the hospital staff was significantly higher than that of the control group (20.0%vs. 2.9%, p < 0.001). Furthermore, the SPR antibodies to H1N1 influenza virus of group 1 were significantly higher than that of group 2 (30.8%vs. 12.6%, p < 0.001). However, the GMT of antibodies to H1N1 influenza virus of the hospital staff was not significantly different from that of the control group (p = 0.925).

conclusionThe SPR of antibodies against the pandemic (H1N1) 2009 virus in the hospital staff was higher than that in the general population, reflecting a higher contact risk. Prevaccination surveillance of the immune status of different risk groups may help to prioritize which groups should be vaccinated first.

Indexed as

Disease OutbreaksPersonnel, HospitalAdultAgedAntibodies, ViralFemaleHumansInfluenza A Virus, H1N1 SubtypeInfluenza, HumanMaleMiddle AgedSeroepidemiologic StudiesTaiwanTime FactorsVaccinationAntibodies, Viral

Identifiers

PMID20171584
PMCPMC7129009
OpenAlexW2007787673

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.