Evidence map›Paper›PMID 36151129›Full record

ArticleScientific reports2022

A distinct symptom pattern emerges for COVID-19 long-haul: a nationwide study.

Melissa D Pinto, Charles A Downs, Yong Huang, Sarah A El-Azab, Nathan S Ramrakhiani, Anthony Barisano, Lu Yu, Kaitlyn Taylor, Alvaro Esperanca, Heather L Abrahim and 7 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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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

17 authors at 8 institutions in 1 country.

Melissa D Pinto *Sue & Bill Gross School of Nursing, University of California Irvine, Irvine, CA, USA. mdpinto@uci.edu.
Charles A Downs *University of Miami, Coral Gables, FL, USA.
Yong HuangDepartment of Computer Science, Donald Bren School of Information and Computer Science, University of California Irvine, Irvine, CA, USA.
Sarah A El-AzabDepartment of Health Management and Policy, University of Michigan, Lansing, MI, USA.
Nathan S RamrakhianiBrown University, Providence, RI, USA.
Anthony BarisanoBrown University, Providence, RI, USA.
Lu YuSchool of Labor and Employment Relations, University of Illinois at Urbana-Champaign, Champaign, IL, USA.
Kaitlyn TaylorLambert Health Lab, Indiana University School of Medicine, Indianapolis, IN, USA.
Alvaro EsperancaElectrical and Computer Engineering Department, Indiana University Purdue University Indianapolis, Indianapolis, IN, USA.
Heather L AbrahimSue & Bill Gross School of Nursing, University of California Irvine, Irvine, CA, USA.
Thomas HughesSue & Bill Gross School of Nursing, University of California Irvine, Irvine, CA, USA.
Maria Giraldo HerreraSue & Bill Gross School of Nursing, University of California Irvine, Irvine, CA, USA.
Amir M RahamaniSue & Bill Gross School of Nursing, University of California Irvine, Irvine, CA, USA.
Nikil DuttDepartment of Computer Science, Donald Bren School of Information and Computer Science, University of California Irvine, Irvine, CA, USA.
Rana ChakrabortyDivision of Infectious Disease, Department of Pediatrics and Adolescent Medicine, Mayo Clinic, Rochester, MN, USA.
Christian MendiolaSchool of Engineering and Technology, Indiana University Purdue University Indianapolis, Indianapolis, IN, USA.
Natalie LambertDepartment of Biostatistics and Health Data Sciences, Indiana University School of Medicine, Indianapolis, USA.
University of California, Irvine · USIndiana University – Purdue University Indianapolis · USBrown University · USIndiana University School of MedicineMayo Clinic in Florida · USUniversity of Illinois Urbana-Champaign · USUniversity of Miami · USUniversity of Michigan–Ann Arbor · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-haul COVID-19, also called post-acute sequelae of SARS-CoV-2 (PASC), is a new illness caused by SARS-CoV-2 infection and characterized by the persistence of symptoms. The purpose of this cross-sectional study was to identify a distinct and significant temporal pattern of PASC symptoms (symptom type and onset) among a nationwide sample of PASC survivors (n = 5652). The sample was randomly sorted into two independent samples for exploratory (EFA) and confirmatory factor analyses (CFA). Five factors emerged from the EFA: (1) cold and flu-like symptoms, (2) change in smell and/or taste, (3) dyspnea and chest pain, (4) cognitive and visual problems, and (5) cardiac symptoms. The CFA had excellent model fit (x

Indexed as

COVID-19Cross-Sectional StudiesHumansPost-Acute COVID-19 SyndromeSARS-CoV-2Surveys and Questionnaires

Identifiers

PMID36151129
PMCPMC9508141
OpenAlexW4297023611

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.