Evidence map›Paper›PMID 39528716›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

Abstract 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
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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Dominik J Ose *Department of Family and Preventive Medicine, University of Utah Health, School of Medicine, Salt Lake City, UT, USA.ORCID http://orcid.org/0000-0002-5079-2152
Elena Gardner *Department of Family and Preventive Medicine, University of Utah Health, School of Medicine, Salt Lake City, UT, USA.
Morgan MillarDepartment of Internal Medicine, University of Utah Health, School of Medicine, Salt Lake City, UT, USA.ORCID http://orcid.org/0000-0001-5532-6970
Andrew CurtinDepartment of Family and Preventive Medicine, University of Utah Health, School of Medicine, Salt Lake City, UT, USA.
Jiqiang WuDepartment of Family and Preventive Medicine, University of Utah Health, School of 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 SchaeferDepartment of Family and Preventive Medicine, University of Utah Health, School of Medicine, Salt Lake City, UT, USA.
Jing WangDepartment of Family and Preventive Medicine, University of Utah Health, School of Medicine, Salt Lake City, UT, USA.
Jennifer LeiserDepartment of Family and Preventive Medicine, University of Utah Health, School of Medicine, Salt Lake City, UT, USA.ORCID http://orcid.org/0000-0001-6152-6143
Kirsten StoesserDepartment of Family and Preventive Medicine, University of Utah Health, School of Medicine, Salt Lake City, UT, USA.ORCID http://orcid.org/0000-0001-9108-4438
Bernadette KiralyDepartment of Family and Preventive Medicine, University of Utah Health, School of Medicine, Salt Lake City, UT, USA. bernadette.kiraly@hsc.utah.edu.ORCID http://orcid.org/0000-0003-2243-6553

Funding

CTSA UM1 Program at University of UtahUM1TR004409 · NCATS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI RACHEL HESS, Jennifer Juhl Majersik · 2023 to 2026
$21.9M
NCATS NIH HHS UM1 TR004409
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID39528716
PMCPMC11555114

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.