Evidence map›Paper›PMID 34583657›Full record

ArticleBMC public health2021

Patients at high risk for a severe clinical course of COVID-19 - small-area data in support of vaccination and other population-based interventions in Germany.

Jakob Holstiege, Manas K Akmatov, Claudia Kohring, Lotte Dammertz, Frank Ng, Thomas Czihal, Dominik von Stillfried, Jörg Bätzing

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
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 at 1 institution in 1 country.

Jakob Holstiege *Central Research Institute of Ambulatory Health Care, Salzufer 8, 10587, Berlin, Germany. jholstiege@zi.de.
Manas K Akmatov *Central Research Institute of Ambulatory Health Care, Salzufer 8, 10587, Berlin, Germany.
Claudia KohringCentral Research Institute of Ambulatory Health Care, Salzufer 8, 10587, Berlin, Germany.
Lotte DammertzCentral Research Institute of Ambulatory Health Care, Salzufer 8, 10587, Berlin, Germany.
Frank NgCentral Research Institute of Ambulatory Health Care, Salzufer 8, 10587, Berlin, Germany.
Thomas CzihalCentral Research Institute of Ambulatory Health Care, Salzufer 8, 10587, Berlin, Germany.
Dominik von StillfriedCentral Research Institute of Ambulatory Health Care, Salzufer 8, 10587, Berlin, Germany.
Jörg BätzingCentral Research Institute of Ambulatory Health Care, Salzufer 8, 10587, Berlin, Germany.
Central Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch has shown that the risk for a severe course of COVID-19 is increased in the elderly population and among patients with chronic conditions. The aim of this study was to provide estimates of the size of vulnerable populations at high risk for a severe COVID-19 course in Germany based on the currently available risk factor data.

methodsWe used nationwide outpatient claims data from the years 2010 to 2019 collected according to § 295 of the Code of Social Law V, covering data for all statutory health insurees (SHI) which is nearly 87% of the entire German population. We considered 15 chronic disorders based on the current state of knowledge about clinically relevant risk factors. Three risk groups for a severe COVID-19 course were defined: 1. individuals in the age group 15 to 59 years with at least two comorbid disorders; 2. individuals aged 60 to 79 years with at least one disorder and 3. all individuals 80 years and older irrespective of the presence of chronic conditions. Regional analysis was conducted at the level of administrative districts (n = 401).

resultsOverall, 26% of individuals over 15 years were at high risk for a severe COVID-19 course in 2019 amounting to a total number of nearly 18.5 million individuals in Germany. This included 3.8 million individuals in risk group 1, 9.2 million in risk group 2, and 5.4 million in risk group 3, corresponding to 8, 50 and 100% of German inhabitants in the respective age groups. On the level of the 17 administrative regions formed by the Association of SHI Physicians (ASHIP regions), the proportion of individuals at high risk ranged between 21% in Hamburg and 35% in Saxony-Anhalt. Small-area estimates varied between 18% in Freiburg (Baden-Württemberg) and 39% in the district Elbe-Elster (Brandenburg).

conclusionsThe present study provides small-area estimates of populations at high risk for a severe COVID-19 course. These data are of particular importance for planning of preventive measures such as vaccination.

trial registrationnot applicable.

Indexed as

COVID-19AdolescentAdultAgedGermanyHumansMiddle AgedRisk FactorsSARS-CoV-2VaccinationYoung AdultCOVID-19GermanyPatients at riskSARS-CoV-2VaccinationVulnerable population

Identifiers

PMID34583657
PMCPMC8478008
OpenAlexW3204212537

What OpenQuestion holds

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LicenceCC BY
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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.