Evidence map›Paper›PMID 33452539›Full record

ArticleZeitschrift fur Gerontologie und Geriatrie2021

Recommendations for the management of COVID-19 pandemic in long-term care facilities.

M Gosch, H J Heppner, S Lim, K Singler

Open access · bronzeAbstract read
In one paragraph

Article in Zeitschrift fur Gerontologie und Geriatrie, 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
2.0field-weighted citation impact, top 13% 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, 7 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

4 authors at 4 institutions in 2 countries.

M GoschDepartment for Geriatric Medicine, General Hospital Nuremberg, Paracelsus Private Medical University, Prof. Ernst Nathan Str. 1, 90419, Nuremberg, Germany. markus.gosch@klinikum-nuernberg.de.
H J HeppnerLehrstuhl für Geriatrie, Klinik für Geriatrie, Helios Schwelm, Schwelm, Germany.
S LimAcademic Geriatric Medicine, University of Southampton, Southampton, UK.
K SinglerDepartment for Geriatric Medicine, General Hospital Nuremberg, Paracelsus Private Medical University, Prof. Ernst Nathan Str. 1, 90419, Nuremberg, Germany.
Friedrich-Alexander-Universität Erlangen-Nürnberg · DEHelios Kliniken · DENuremberg Hospital · DEUniversity of Southampton · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-term care facilities (LTCF) and their vulnerable residents are particularly affected by the coronavirus disease 2019 (COVID-19) pandemic. Estimates from various countries suggest that 3-66% of all COVID-19 deaths were residents of LTCF, of which 80% died in their facilities. Despite these significant numbers, recommendations for LTCF for the prevention and medical care of residents during the COVID-19 pandemic are still lacking. These recommendations are based on the existing literature and the expertise of the authors who are specialists in geriatric medicine. The recommendations are addressed to LTCF management, their operators, physicians working in LTCFs and also politicians, to provide the necessary framework conditions. We are confident that our recommendations will offer important help and guidance for LTCFs as well as their physicians. Adherence to these recommendations is likely to improve the outcomes and care of residents in long-term facilities during the COVID-19 pandemic.

Indexed as

COVID-19GeriatricsAgedHumansLong-Term CarePandemicsSARS-CoV-2Long-term care facilitiesOlder adultsPreventionSARS-CoV‑2Treatment

Identifiers

PMID33452539
PMCPMC7810427
OpenAlexW3119012937

What OpenQuestion holds

Textmetadata
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.