Evidence map›Paper›PMID 31902961›Full record

ArticleBulletin of the World Health Organization2020

Trends and regional distribution of outpatient claims for asthma, 2009-2016, Germany.

Manas K Akmatov, Jakob Holstiege, Annika Steffen, Jörg Bätzing

Abstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Vitamin DThe journal of allergy and clinical immunology. Global · 2023
    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

4 authors.

Manas K AkmatovDepartment of Regional Health Care Analysis and Health Care Atlas, Central Research Institute of Ambulatory Health Care in Germany, Salzufer 8, 10587, Berlin, Germany.
Jakob HolstiegeDepartment of Regional Health Care Analysis and Health Care Atlas, Central Research Institute of Ambulatory Health Care in Germany, Salzufer 8, 10587, Berlin, Germany.
Annika SteffenDepartment of Regional Health Care Analysis and Health Care Atlas, Central Research Institute of Ambulatory Health Care in Germany, Salzufer 8, 10587, Berlin, Germany.
Jörg BätzingDepartment of Regional Health Care Analysis and Health Care Atlas, Central Research Institute of Ambulatory Health Care in Germany, Salzufer 8, 10587, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate asthma morbidity in Germany by calculating current prevalence, examining its temporal and spatial trends and estimating the total number of asthmatics in Germany and calculating age-, sex- and residence-specific risk.

methodsWe used claims data reported by physicians during 2009-2016, including outpatient diagnoses of all statutory health insured individuals, comprising 85.3% (70 416 019/82 521 653) of the total population in Germany in 2016. We performed a spatial analysis of asthma prevalence according to administrative district by calculating Global and Local Moran's

findingsWe estimated that 4.7 million individuals were affected by asthma in 2016, including 0.8 million children and 3.9 million adults. We observed a slightly higher prevalence (with an increasing trend) among adults (5.85%; 3 408 622/58 246 299) compared to children (5.13%; 624 899/12 169 720), and calculated an age-standardized prevalence of 5.76% (95% confidence interval, CI: 5.76-5.77). We found evidence of a strong spatial autocorrelation (Global Moran's

conclusionOur insights into the spatial distribution of asthma morbidity may inform public health interventions, including region-specific prevention programmes and control.

Indexed as

AdolescentAdultAgedAge DistributionAsthmaChildChild, PreschoolFemaleGermanyHumansInfantInsurance Claim ReviewMaleMiddle AgedOutpatientsPrevalence

Identifiers

PMID31902961
PMCPMC6933432

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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.