Evidence map›Paper›PMID 26977142›Full record

ArticleGerman medical science : GMS e-journal2016

Prevalence of chronic diseases among older patients in German general practices.

Louis Jacob, Jessica Breuer, Karel Kostev

Open access · greenAbstract read
In one paragraph

Article in German medical science : GMS e-journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
6.4field-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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 68 citations in OpenAlex.

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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

3 authors at 2 institutions in 2 countries.

Louis JacobDepartment of Biology, École Normale Supérieure de Lyon, Lyon, France.
Jessica BreuerFresenius University of Applied Sciences, Frankfurt, Germany.
Karel KostevIMS Health, Epidemiology, Frankfurt, Germany.
École Normale Supérieure de Lyon · FRHochschule Fresenius · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo evaluate the prevalence of chronic diseases (CDs) among older patients in German general practices (GPs).

methodsA total of 840,319 patients older than 65 years (359,289 male and 481,030 female) who consulted a GP between January and December 2014 were selected. Ten different CDs were considered: hypertension, lipid metabolism, diabetes, coronary heart disease, cancer, chronic obstructive pulmonary disease, heart failure, stroke, chronic kidney disease and osteoporosis. The prevalence, defined as the proportion of patients diagnosed with these disorders, was estimated.

resultsAll CDs were very common in older subjects. Hypertension was the most common CD, affecting 65.7% of men and 66.1% of women. Stroke was the least frequent CD, with 6.6% of men and 5.1% of women displaying this condition. More than one out of two subjects had between one and three CDs (men: 57.7% and women: 59.3%). Approximately 25% of subjects had four or more CDs (men: 26.6% and women: 23.6%).

conclusionsOur study showed that the prevalence of CDs is high in the German elderly population. Hypertension was the most frequent chronic condition and around 25% of patients displayed at least four CDs.

Indexed as

AgedAged, 80 and overAge DistributionCardiovascular DiseasesChronic DiseaseComorbidityFemaleGeneral PracticeGermanyHealth Services for the AgedHumansHypertensionMaleMultiple Chronic ConditionsPrevalenceRisk FactorsGermanyolder patientsprevalence of chronic diseases

Identifiers

PMID26977142
PMCPMC4779902
OpenAlexW2298815489

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.