Evidence map›Paper›PMID 35231915›Full record

ReviewRespiration; international review of thoracic diseases2022

Risk Assessment for Patients with Chronic Respiratory Conditions in the Context of the SARS-CoV-2 Pandemic Statement of the German Respiratory Society with the Support of the German Association of Chest Physicians.

Marek Lommatzsch, Klaus F Rabe, Christian Taube, Marcus Joest, Michael Kreuter, Hubert Wirtz, Torsten Gerriet Blum, Martin Kolditz, Hilte Geerdes-Fenge, Ralf Otto-Knapp and 13 more

Open access · hybridAbstract readReview
In one paragraph

Review in Respiration; international review of thoracic diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 26% 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, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Review
  4. Article
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

23 authors at 15 institutions in 1 country.

Marek LommatzschDepartment of Pneumology, University of Rostock, Rostock, Germany.
Klaus F RabeLungenClinic Großhansdorf, Großhansdorf, Germany.
Christian TaubeKlinik für Pneumologie, University of Essen, Duisburg, Germany.
Marcus JoestLung and Allergy Center Bonn, Bonn, Germany.
Michael KreuterThoraxklinik, University of Heidelberg, Heidelberg, Germany.
Hubert WirtzDepartment of Pneumology, University of Leipzig, Leipzig, Germany.
Torsten Gerriet BlumLung Hospital Heckeshorn, Helios Klinikum Emil von Behring, Berlin, Germany.
Martin KolditzDepartment of Pneumology, University of Dresden, Dresden, Germany.
Hilte Geerdes-FengeDepartment of Pneumology, University of Rostock, Rostock, Germany.
Ralf Otto-KnappGerman Central Committee against Tuberculosis, DZK, Berlin, Germany.
Brit HäckerGerman Central Committee against Tuberculosis, DZK, Berlin, Germany.
Tom Schaberg, Rothenburg, Germany.
Felix C RingshausenDepartment of Respiratory Medicine, University of Hannover, Hanover, Germany.
Claus F VogelmeierDepartment of Medicine, Pulmonary and Critical Care Medicine, University of Marburg, Marburg, Germany.
Niels ReinmuthClinic Munich-Gauting, Munich, Germany.
Martin ReckLungenClinic Großhansdorf, Großhansdorf, Germany.
Jens GottliebDepartment of Respiratory Medicine, University of Hannover, Hanover, Germany.
Stavros KonstantinidesUniversity of Mainz, Mainz, Germany.
Joachim MeyerLung Center Bogenhausen and Harlaching, Hospital Munich, Munich, Germany.
Heinrich Worth, Fürth, Germany.
Wolfram WindischHospital for Lung Diseases, Köln-Merheim, Cologne, Germany.
Tobias WelteDepartment of Respiratory Medicine, University of Hannover, Hanover, Germany.
Torsten BauerLung Hospital Heckeshorn, Helios Klinikum Emil von Behring, Berlin, Germany.
Leibniz University Hannover · DEHelios Klinikum Emil von Behring · DELungenClinic Grosshansdorf · DEUniversity of Rostock · DEAsklepios Fachkliniken München-Gauting · DEGerman Center for Lung Research · DEHeidelberg University · DEJohannes Gutenberg University Mainz · DEKlinikum Fürth · DELungenklinik Köln-Merheim · DEMünchen Klinik Bogenhausen · DEPhilipps University of Marburg · DESaxon Police Force · DETechnische Universität Dresden · DEUniversity of Duisburg-Essen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing the risk for specific patient groups to suffer from severe courses of COVID-19 is of major importance in the current SARS-CoV-2 pandemic. This review focusses on the risk for specific patient groups with chronic respiratory conditions, such as patients with asthma, chronic obstructive pulmonary disease, cystic fibrosis (CF), sarcoidosis, interstitial lung diseases, lung cancer, sleep apnea, tuberculosis, neuromuscular diseases, a history of pulmonary embolism, and patients with lung transplants. Evidence and recommendations are detailed in exemplary cases. While some patient groups with chronic respiratory conditions have an increased risk for severe courses of COVID-19, an increasing number of studies confirm that asthma is not a risk factor for severe COVID-19. However, other risk factors such as higher age, obesity, male gender, diabetes, cardiovascular diseases, chronic kidney or liver disease, cerebrovascular and neurological disease, and various immunodeficiencies or treatments with immunosuppressants need to be taken into account when assessing the risk for severe COVID-19 in patients with chronic respiratory diseases.

Indexed as

COVID-19PhysiciansHumansMalePandemicsRisk AssessmentSARS-CoV-2COVID-19Respiratory diseasesRisk assessmentSARS-CoV-2

Identifiers

PMID35231915
PMCPMC8985038
OpenAlexW4210925522

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.