Evidence map›Paper›PMID 38561444›Full record

ArticleCommunications medicine2024

Author Correction: A cross-sectional and population-based study from primary care on post-COVID-19 conditions in non-hospitalized patients.

Dominik J Ose, Elena Gardner, Morgan Millar, Andrew Curtin, Jiqiang Wu, Mingyuan Zhang, Camie Schaefer, Jing Wang, Jennifer Leiser, Kirsten Stoesser and 1 more

Open access · goldAbstract readPublished Erratum
PubMed Full text at PMC Publisher
In one paragraph

Article in Communications medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 95% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 1 institution in 2 countries.

Dominik J Ose *University of Utah Health, School of Medicine, Department of Family and Preventive Medicine, Salt Lake City, UT, USA.ORCID http://orcid.org/0000-0002-5079-2152
Elena Gardner *University of Utah Health, School of Medicine, Department of Family and Preventive Medicine, Salt Lake City, UT, USA.
Morgan MillarUniversity of Utah Health, School of Medicine, Department of Internal Medicine, Salt Lake City, UT, USA.ORCID http://orcid.org/0000-0001-5532-6970
Andrew CurtinUniversity of Utah Health, School of Medicine, Department of Family and Preventive Medicine, Salt Lake City, UT, USA.
Jiqiang WuUniversity of Utah Health, School of Medicine, Department of Family and Preventive Medicine, Salt Lake City, UT, USA.
Mingyuan ZhangUniversity of Utah Health, Data Science Services, Salt Lake City, UT, USA.ORCID http://orcid.org/0000-0002-9837-4187
Camie SchaeferUniversity of Utah Health, School of Medicine, Department of Family and Preventive Medicine, Salt Lake City, UT, USA.
Jing WangUniversity of Utah Health, School of Medicine, Department of Family and Preventive Medicine, Salt Lake City, UT, USA.
Jennifer LeiserUniversity of Utah Health, School of Medicine, Department of Family and Preventive Medicine, Salt Lake City, UT, USA.ORCID http://orcid.org/0000-0001-6152-6143
Kirsten StoesserUniversity of Utah Health, School of Medicine, Department of Family and Preventive Medicine, Salt Lake City, UT, USA.ORCID http://orcid.org/0000-0001-9108-4438
Bernadette KiralyUniversity of Utah Health, School of Medicine, Department of Family and Preventive Medicine, Salt Lake City, UT, USA. bernadette.kiraly@hsc.utah.edu.ORCID http://orcid.org/0000-0003-2243-6553
University of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID38561444
PMCPMC10985083
OpenAlexW4393373543

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.