Evidence map›Paper›PMID 22883309›Full record

ArticleInfluenza and other respiratory viruses2013

Hospitalizations from pandemic Influenza [A(H1N1)pdm09] infections among type 1 and 2 diabetes patients in Spain.

Rodrigo Jiménez-García, Valentín Hernández-Barrera, Cristina Rodríguez-Rieiro, Ana Lopez de Andres, Javier de Miguel-Diez, Isabel Jimenez-Trujillo, Angel Gil de Miguel, Pilar Carrasco-Garrido

Abstract read
In one paragraph

Article in Influenza and other respiratory viruses, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

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11citing papers in PubMed, 1 pooled it
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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

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Rodrigo Jiménez-GarcíaPreventive Medicine Unit, Rey Juan Carlos University, Madrid, Spain. rodrigo.jimenez@urjc.es
Valentín Hernández-Barrera
Cristina Rodríguez-Rieiro
Ana Lopez de Andres
Javier de Miguel-Diez
Isabel Jimenez-Trujillo
Angel Gil de Miguel
Pilar Carrasco-Garrido

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo describe and analyze the clinical characteristics and outcomes for all patients with diabetes who were hospitalized with laboratory-confirmed A(H1N1)pdm09 infections in Spain during 2009.

methodsObservational retrospective study using data collected by the Spanish National Hospital Discharge Database. We selected all admissions with diagnosis ICD-9-CM code 488·1 [A(H1N1)pdm09]. Discharges were grouped as follows: no diabetes, Type1 and Type 2 diabetes. Underlying medical conditions and risk factors included all those that constitute an indication for annual influenza vaccination, pregnancy, and obesity. The outcome variables analyzed were in-hospital case fatality risk, length of hospital stay, and costs.

resultsThe total number of persons hospitalized with A(H1N1)pdm09 was 11,499. Of those, 97 suffered Type 1 and 936 Type 2, giving an overall prevalence of diabetes of 9%. The most common underlying medical condition among Type 2 subjects was obesity (26·8%), and for Type 1 renal disease (10·3%). In-hospital mortality was 2·1% among Type 1 patients, 3·8% among Type 2 patients, and 2·3% among non-diabetics; after multivariate analysis, diabetes was not a factor independently associated with dying during hospitalization for A(H1N1)pdm09. Independent factors increasing the risk of death among diabetic patients included age (OR 1·03; 95% CI1·01-1·05), hematological disorders (OR 3·49; 95% CI, 1·46-8·37), and obesity (OR 1·88; 95% CI1·07-3·92).

conclusionsAmong individuals hospitalized in Spain with A(H1N1)pdm09 infections, the age-specific prevalence of diabetes was higher than the general population in most age groups. The results of multivariate analysis suggest that possibly concomitant conditions such as obesity increase the risk of dying from the infection, but not diabetes itself.

Indexed as

AdolescentAdultAgedDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2FemaleHospitalizationHumansInfluenza A Virus, H1N1 SubtypeInfluenza, HumanLength of StayMaleMiddle AgedPandemicsRetrospective StudiesRisk Factors

Identifiers

PMID22883309
PMCPMC5779831

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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.