Evidence map›Paper›PMID 25706646›Full record

ArticlePloS one2015

Trends in the prevalence of depression in hospitalized patients with type 2 diabetes in Spain: analysis of hospital discharge data from 2001 to 2011.

Ana Lopez-de-Andrés, Ma Isabel Jiménez-Trujillo, Valentín Hernández-Barrera, José Ma de Miguel-Yanes, Manuel Méndez-Bailón, Napoleón Perez-Farinos, Carmen de Burgos Lunar, Juan Cárdenas-Valladolid, Miguel Ángel Salinero-Fort, Rodrigo Jiménez-García and 1 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  4. Characterizing Multimorbidity from Type 2 Diabetes: Insights from Clustering Approaches.Endocrinology and metabolism clinics of North America · 2021
    Review
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  9. Review
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  12. Comorbidity of depression and diabetes: an application of biopsychosocial model.International journal of mental health systems · 2016
    Article
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  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 1 country.

Ana Lopez-de-AndrésPreventive Medicine and Public Health Teaching and Research Unit, Health Sciences Faculty, Rey Juan Carlos University, Alcorcon, Comunidad de Madrid, Spain.
Ma Isabel Jiménez-TrujilloPreventive Medicine and Public Health Teaching and Research Unit, Health Sciences Faculty, Rey Juan Carlos University, Alcorcon, Comunidad de Madrid, Spain.
Valentín Hernández-BarreraPreventive Medicine and Public Health Teaching and Research Unit, Health Sciences Faculty, Rey Juan Carlos University, Alcorcon, Comunidad de Madrid, Spain.
José Ma de Miguel-YanesMedicine Department, Hospital Universitario del Sureste, Arganda, Comunidad de Madrid, Spain.
Manuel Méndez-BailónMedicine Department, Hospital Clínico San Carlos, Madrid, Comunidad de Madrid, Spain.
Napoleón Perez-FarinosHealth Security Agency, Ministry of Health, Madrid, Comunidad de Madrid, Spain.
Carmen de Burgos LunarPreventive Medicine Department, Hospital La Paz, Madrid, Comunidad de Madrid, Spain.
Juan Cárdenas-ValladolidDirección Técnica de Docencia e Investigación, Gerencia Atención Primaria, Madrid, Comunidad de Madrid, Spain.
Miguel Ángel Salinero-FortDirección Técnica de Docencia e Investigación, Gerencia Atención Primaria, Madrid, Comunidad de Madrid, Spain.
Rodrigo Jiménez-GarcíaPreventive Medicine and Public Health Teaching and Research Unit, Health Sciences Faculty, Rey Juan Carlos University, Alcorcon, Comunidad de Madrid, Spain.
Pilar Carrasco-GarridoPreventive Medicine and Public Health Teaching and Research Unit, Health Sciences Faculty, Rey Juan Carlos University, Alcorcon, Comunidad de Madrid, Spain.
Comunidad de Madrid · ESUniversidad Rey Juan Carlos · ESHospital Clínico San Carlos · ESMinistry of Health · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aims to describe trends in the prevalence of depression among hospitalized patients with type 2 diabetes in Spain, 2001-2011.

methodsWe selected patients with a discharge diagnosis of type 2 diabetes using national hospital discharge data. Discharges were grouped by depression status. Prevalence of depression globally and according to primary diagnoses based on the Charlson comorbidity index (CCI) were analyzed. We calculated length of stay (LOHS) and in-hospital mortality (IHM). Multivariate analysis was adjusted by age, year and comorbidity.

resultsFrom 2001 to 2011, 4,723,338 discharges with type 2 diabetes were identified (4.93% with depression). Prevalence of depression in diabetic patients increased from 3.54% in 2001 to 5.80% in 2011 (p<0.05). The prevalence of depression was significantly higher in women than in men in each year studied and increased from 5.22% in 2001 to 9.24% in 2011 (p<0.01). The highest prevalence was observed in the youngest age group (35-59 years). The median LOHS decreased significantly over this period. Men with diabetes and depression had higher IHM than women in all the years studied (p<0.05). Older age and greater comorbidity were significantly associated with a higher risk of dying, among diabetic patients with concomitant depression.

conclusionsPrevalence of depression increased significantly among hospitalized diabetic patients from 2001 to 2011 even if the health profile and LOHS have improved over this period. Programs targeted at preventing depression among persons with diabetes should be reinforced in Spain.

Indexed as

AgedAged, 80 and overDatabase Management SystemsDepressionDiabetes Mellitus, Type 2FemaleHospitalizationHospital MortalityHumansMaleMiddle AgedSpain

Identifiers

PMID25706646
PMCPMC4338183
OpenAlexW2010087777

What OpenQuestion holds

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LicenceCC BY
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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.