Evidence map›Paper›PMID 20844592›Full record

ArticlePloS one2010

Signs of the 2009 influenza pandemic in the New York-Presbyterian Hospital electronic health records.

Hossein Khiabanian, Antony B Holmes, Brendan J Kelly, Mrinalini Gururaj, George Hripcsak, Raul Rabadan

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.5field-weighted citation impact, top 4% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Envisioning sophisticated electronic health records through the lens of health care reform.American journal of respiratory and critical care medicine · 2013
    Article
  3. Article
  4. Article
  5. Article
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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

6 authors at 1 institution in 1 country.

Hossein KhiabanianDepartment of Biomedical Informatics, Columbia University College of Physicians and Surgeons, New York, New York, United States of America. hossein@c2b2.columbia.edu
Antony B Holmes
Brendan J Kelly
Mrinalini Gururaj
George Hripcsak
Raul Rabadan
Columbia University · US

Funding

Viral Pathogenesis and TherapeuticsU54AI057158 · NIAID · WADSWORTH CENTER · PI LEVY, DAVID E · 2003 to 2014
$100.8M
DISCOVERING AND APPLYING KNOWLEDGE IN CLINICAL DATABASESR01LM006910 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HRIPCSAK, GEORGE M · 2000 to 2023
$10.6M
Integrated discovery and hypothesis testing of new associations in rare diseasesR01LM010140 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI RABADAN, RAUL · 2009 to 2010
$1.1M
NIAID NIH HHS U54 AI057158NLM NIH HHS 1R01LM010140-01NLM NIH HHS R01 LM006910NLM NIH HHS R01LM006910NLM NIH HHS R01 LM010140PHITPO CDC HHS P01 HK000029
6 · The paper itself

Abstract

backgroundIn June of 2009, the World Health Organization declared the first influenza pandemic of the 21(st) century, and by July, New York City's New York-Presbyterian Hospital (NYPH) experienced a heavy burden of cases, attributable to a novel strain of the virus (H1N1pdm). METHODS AND

resultsWe present the signs in the NYPH electronic health records (EHR) that distinguished the 2009 pandemic from previous seasonal influenza outbreaks via various statistical analyses. These signs include (1) an increase in the number of patients diagnosed with influenza, (2) a preponderance of influenza diagnoses outside of the normal flu season, and (3) marked vaccine failure. The NYPH EHR also reveals distinct age distributions of patients affected by seasonal influenza and the pandemic strain, and via available longitudinal data, suggests that the two may be associated with distinct sets of comorbid conditions as well. In particular, we find significantly more pandemic flu patients with diagnoses associated with asthma and underlying lung disease. We further observe that the NYPH EHR is capable of tracking diseases at a resolution as high as particular zip codes in New York City.

conclusionThe NYPH EHR permits early detection of pandemic influenza and hypothesis generation via identification of those significantly associated illnesses. As data standards develop and databases expand, EHRs will contribute more and more to disease detection and the discovery of novel disease associations.

Indexed as

AdolescentAdultAgedAged, 80 and overAge DistributionChildChild, PreschoolElectronic Health RecordsFemaleHospitalsHumansInfantInfluenza, HumanMaleMiddle AgedNew York City

Identifiers

PMID20844592
PMCPMC2936568
OpenAlexW2062067141

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.