Evidence map›Paper›PMID 33536145›Full record

ReviewBest practice & research. Clinical rheumatology2021

COVID-19 pandemic management and the rheumatology patient.

Cara D Varley, Jennifer H Ku, Kevin L Winthrop

Open access · greenAbstract readReview
In one paragraph

Review in Best practice & research. Clinical rheumatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. 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

3 authors at 2 institutions in 1 country.

Cara D VarleyOregon Health & Science University - Portland State University School of Public Health, United States; Oregon Health & Science University, School of Medicine, Division of Infectious Diseases, United States. Electronic address: varleyc@ohsu.edu.
Jennifer H KuOregon Health & Science University - Portland State University School of Public Health, United States.
Kevin L WinthropOregon Health & Science University - Portland State University School of Public Health, United States; Oregon Health & Science University, School of Medicine, Division of Infectious Diseases, Ophthalmology, United States.
Portland State University · USOregon Health & Science University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We discuss the evidence behind mask use, including evidence for homemade masks, social distancing, and the local coronavirus disease-2019 (COVID-19) epidemics in countries that initially employed more limited public health interventions. Given the absence of data for specific interventions in the rheumatic disease population, we reviewed the evidence available for the general population. The risk of poor outcomes with COVID-19 in patients with rheumatic diseases is a potential concern given the immunosuppression associated with these conditions and disease-modifying anti-rheumatic drug therapy, as well as advancing age and many of the comorbidities present in such patients. Infection prevention is key, for both individual patients and their community. Given the data collected from the general population, we recommend ongoing proper mask use, social distancing, and hand hygiene for patients with rheumatic diseases and encourage providers to counsel these patients in prevention strategies and attempt to dispel abundant misinformation.

Indexed as

COVID-19RheumatologyHumansMasksPandemicsSARS-CoV-2COVID-19Herd immunityMaskPublic healthSARS-CoV-2Social distancing

Identifiers

PMID33536145
PMCPMC7805397
OpenAlexW3118491193

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.