Evidence map›Paper›PMID 33245942›Full record

ArticleThe Journal of infection2021

A model to identify individuals with a high probability of a SARS-CoV-2 infection.

B Kowall, M Nonnemacher, B Brune, M Brinkmann, M Dudda, J Böttcher, B Schmidt, F Standl, S Stolpe, U Dittmer and 2 more

Open access · bronzeAbstract readLetterComment
In one paragraph

Article in The Journal of infection, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.3field-weighted citation impact, top 31% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 2 countries.

B KowallInstitute of Medical Informatics, Biometry and Epidemiology, University Hospital Essen, Hufelandstraße 55, 45147 Essen, Germany. Electronic address: bernd.kowall@uk-essen.de.
M NonnemacherInstitute of Medical Informatics, Biometry and Epidemiology, University Hospital Essen, Hufelandstraße 55, 45147 Essen, Germany.
B BruneMedical Emergency Service of the City of Essen, Germany; Department for Trauma, Hand and Reconstructive Surgery, University Hospital of Essen, Germany.
M BrinkmannCenter for Clinical Trials, University Hospital Essen, Germany.
M DuddaMedical Emergency Service of the City of Essen, Germany; Department for Trauma, Hand and Reconstructive Surgery, University Hospital of Essen, Germany.
J BöttcherPublic Health Office of the City of Essen, Germany.
B SchmidtInstitute of Medical Informatics, Biometry and Epidemiology, University Hospital Essen, Hufelandstraße 55, 45147 Essen, Germany.
F StandlInstitute of Medical Informatics, Biometry and Epidemiology, University Hospital Essen, Hufelandstraße 55, 45147 Essen, Germany.
S StolpeInstitute of Medical Informatics, Biometry and Epidemiology, University Hospital Essen, Hufelandstraße 55, 45147 Essen, Germany.
U DittmerInstitute for Virology, University Hospital Essen, Germany.
K H JöckelInstitute of Medical Informatics, Biometry and Epidemiology, University Hospital Essen, Hufelandstraße 55, 45147 Essen, Germany.
A StangInstitute of Medical Informatics, Biometry and Epidemiology, University Hospital Essen, Hufelandstraße 55, 45147 Essen, Germany; School of Public Health, Department of Epidemiology, Boston University, Boston, United States.
Institut für Medizinische Informatik, Biometrie und Epidemiologie · DEEssen University Hospital · DEBoston University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Coronavirus InfectionsCOVID-19HumansPoint-of-Care TestingProbabilitySARS-CoV-2

Identifiers

PMID33245942
PMCPMC7686708
OpenAlexW3109547743

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.