Evidence map›Paper›PMID 39142425›Full record

ArticleAnnals of epidemiology2024

Risk factors for long COVID syndrome in postmenopausal women with previously reported diagnosis of COVID-19.

Marian L Neuhouser, Hamza Islam Butt, Chengcheng Hu, Aladdin H Shadyab, Lorena Garcia, Shawna Follis, Charles Mouton, Holly R Harris, Jean Wactawski-Wende, Emily W Gower and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

18 authors.

Marian L NeuhouserCancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States. Electronic address: mneuhous@fredhutch.org.
Hamza Islam ButtDepartment of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of AZ, Tucson, AZ, United States.
Chengcheng HuDepartment of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of AZ, Tucson, AZ, United States.
Aladdin H ShadyabHerbert Wertheim School of Public Health and Human Longevity Science and Division of Geriatrics, Gerontology and Palliative Care, Department of Medicine, University of California, La Jolla, San Diego, CA, United States.
Lorena GarciaDepartment of Public Health Sciences, Division of Epidemiology, University of California Davis School of Medicine, Davis, CA, United States.
Shawna FollisStanford Prevention Research Center, Stanford University, Stanford, CA, United States.
Charles MoutonJohn Sealy School of Medicine, University of Texas Medical Branch, Galveston, TX, United States.
Holly R HarrisProgram in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States.
Jean Wactawski-WendeDepartment of Epidemiology and Environmental Health, University at Buffalo, Buffalo NY, United States.
Emily W GowerGillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Mara VitolinsWake Forest University School of Medicine, Department of Epidemiology and Prevention, Winston-Salem NC, United States.
Diane Von AhCollege of Nursing, The Ohio State University (OSU) & Cancer Control Program, OSU Comprehensive Cancer Center, Columbus, OH, United States.
Rami NassirDepartment of Pathology, School of Medicine, Umm Al-Quraa University, Saudi Arabia.
Shama KaranthDepartment of Surgery, University of Florida, Gainesville, FL, United States.
Ted NgRush Institute for Healthy Aging, Department of Internal Medicine, Rush University Medical Center, Chicago, IL, United States.
Electra PaskettDivision of Cancer Prevention and Control, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, United States.
JoAnn E MansonDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Zhao ChenDepartment of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of AZ, Tucson, AZ, United States.

Funding

WOMEN'S HEALTH INITIATIVE - CLINICAL COORDINATING CENTER: TASK AREA B - LONG LIFE STUDY VISIT 2 LIMITED HOME VISIT75N92021D00001 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ANDERSON, GARNET L. · 2021 to 2025
$52.0M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
WOMEN'S HEALTH INITIATIVE (WHI) REGIONAL CENTER (RC): TASK AREA A AND A275N92021D00002 · NHLBI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI WACTAWSKI-WENDE, JEAN · 2021 to 2025
$6.9M
WOMEN'S HEALTH INITIATIVE (WHI) REGIONAL CENTER (RC) - TO EXERCISE OPTION PERIOD ONE (1) AND REVISE CONTRACT ARTICLES.75N92021D00004 · NHLBI · STANFORD UNIVERSITY · PI STEFANICK, MARCIA · 2021 to 2025
$6.5M
WOMEN'S HEALTH INITIATIVE (WHI) REGIONAL CENTER (RC) - TO EXERCISE OPTION PERIOD ONE (1) AND REVISE CONTRACT ARTICLES.75N92021D00003 · NHLBI · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA · 2021 to 2025
$5.0M
WOMEN'S HEALTH INITIATIVE (WHI) REGIONAL CENTER (RC) - TO EXERCISE OPTION PERIOD ONE (1) AND REVISE CONTRACT ARTICLES.75N92021D00005 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI VITOLINS, MARA · 2021 to 2025
$4.2M
NCATS NIH HHS UL1 TR001420NCI NIH HHS HHSN261201700010CNHLBI NIH HHS 75N92021D00001NHLBI NIH HHS 75N92021D00002NHLBI NIH HHS HHSN268201100046CWHI NIH HHS 75N92021D00003WHI NIH HHS 75N92021D00004WHI NIH HHS 75N92021D00005
6 · The paper itself

Abstract

purposeLong COVID-19 syndrome occurs in 10-20 % of people after a confirmed/probable SARS-COV-2 infection; new symptoms begin within three months of COVID-19 diagnosis and last > 8 weeks. Little is known about risk factors for long COVID, particularly in older people who are at greater risk of COVID complications.

methodsData are from Women's Health Initiative (WHI) postmenopausal women who completed COVID surveys that included questions on whether they had ever been diagnosed with COVID and length and nature of symptoms. Long COVID was classified using standard consensus criteria. Using WHI demographic and health data collected at study enrollment (1993-98) through the present day, machine learning identified the top 20 risk factors for long COVID. These variables were tested in logistic regression models.

resultsOf n = 37,280 survey respondents, 1237 (mean age = 83 years) reported a positive COVID-19 test and 425 (30 %) reported long COVID. Symptoms included an array of neurological, cardio-pulmonary, musculoskeletal, and general fatigue, and malaise symptoms. Long COVID risk factors included weight loss, physical and mobility limitations, and specific heath conditions (e.g., history of heart valve procedure, rheumatoid arthritis).

conclusionsKnowledge of risk factors for long COVID may be the first step in understanding the etiology of this complex disease.

Indexed as

COVID-19Post-Acute COVID-19 SyndromePostmenopauseSARS-CoV-2AgedAged, 80 and overFemaleHumansMiddle AgedRisk FactorsUnited StatesChronic diseaseLong COVIDMachine learningPostmenopausal women

Identifiers

PMID39142425
PMCPMC11405002

What Socratic holds

Textmetadata
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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 Socratic graph.