Evidence map›Paper›PMID 22995284›Full record

ArticleAntimicrobial resistance and infection control2012

Utility of the first few100 approach during the 2009 influenza A(H1N1) pandemic in the Netherlands.

Arianne B van Gageldonk-Lafeber, Marianne Ab van der Sande, Adam Meijer, Ingrid Hm Friesema, Gé A Donker, Johan Reimerink, Mirna Robert-Du Ry van Beest Holle, Jan M Prins, Leslie Isken, François G Schellevis and 2 more

Abstract read
In one paragraph

Article in Antimicrobial resistance and infection control, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. High Infection Secondary Attack Rates of Severe Acute Respiratory Syndrome Coronavirus 2 in Dutch Households Revealed by Dense Sampling.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Article
  2. Article
  3. Article
  4. Using Clinical Research Networks to Assess Severity of an Emerging Influenza Pandemic.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018
    Observational
  5. 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

12 authors.

Arianne B van Gageldonk-LafeberNational Institute for Public Health and the Environment (RIVM), PO box 1 3720 BA, Bilthoven, the Netherlands. Rianne.van.Gageldonk@rivm.nl.
Marianne Ab van der Sande
Adam Meijer
Ingrid Hm Friesema
Gé A Donker
Johan Reimerink
Mirna Robert-Du Ry van Beest Holle
Jan M Prins
Leslie Isken
François G Schellevis
Mariken Im van der Lubben
Dutch ZonMw Influenza A(H1N1) 2009 consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo guide policy and control measures, decent scientific data are needed for a comprehensive assessment of epidemiological, clinical and virological characteristics of the First Few hundred (FF100) cases. We discuss the feasibility of the FF100 approach during the 2009 pandemic and the added value compared with alternative data sources available.

methodsThe pandemic preparedness plan enabled us to perform a case-control study, assessing patient characteristics and risk factors for experiencing symptomatic influenza A(H1N1)2009 infection and providing insight into transmission. We assessed to what extent timely and novel data were generated compared to other available data sources.

resultsIn May-December 2009, a total of 68 cases and 48 controls were included in the study. Underlying non-respiratory diseases were significantly more common among cases compared to controls, while a protective effect was found for frequent hand washing. Seroconversion was found for 7/30 controls (23%), and persisting high titers for 4/30 controls (13%). The labour-intensive study design resulted in slow and restricted recruitment.

conclusionsThe findings of our case-control study gave new insights in transmission risks and possible interventions for improved control. Nevertheless, the FF100 approach lacked timeliness and power due to limited recruitment. For future pandemics we suggest pooling data from several countries, to enable collecting sufficient data in a relatively short period.

Identifiers

PMID22995284
PMCPMC3511807

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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.