Evidence map›Paper›PMID 35279115›Full record

ArticleBMC pediatrics2022

Pediatric biorepository participation during the COVID-19 pandemic: predictors of enrollment and biospecimen donation.

Anne M Neilan, Anisha Tyagi, Yao Tong, Eva J Farkas, Madeleine D Burns, Allison Fialkowski, Grace Park, Margot Hardcastle, Elizabeth Gootkind, Ingrid V Bassett and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC pediatrics, 2022. 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
0.2field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

12 authors at 3 institutions in 1 country.

Anne M NeilanDivision of General Academic Pediatrics, Department of Pediatrics, Boston, MA, USA. aneilan@mgh.harvard.edu.
Anisha TyagiMassachusetts General Hospital, Medical Practice Evaluation Center, 100 Cambridge Street, Floor 16, Boston, MA, USA.
Yao TongMassachusetts General Hospital, Medical Practice Evaluation Center, 100 Cambridge Street, Floor 16, Boston, MA, USA.
Eva J FarkasMassachusetts General Hospital, Department of Pediatrics, Pulmonary Division, Boston, MA, USA.
Madeleine D BurnsMassachusetts General Hospital, Department of Pediatrics, Pulmonary Division, Boston, MA, USA.
Allison FialkowskiHarvard Medical School, Boston, MA, USA.
Grace ParkMassachusetts General Hospital, Department of Pediatrics, Pulmonary Division, Boston, MA, USA.
Margot HardcastleMassachusetts General Hospital, Department of Pediatrics, Pulmonary Division, Boston, MA, USA.
Elizabeth GootkindMassachusetts General Hospital, Department of Pediatrics, Pulmonary Division, Boston, MA, USA.
Ingrid V BassettDivision of Infectious Disease, Department of Medicine, Boston, MA, USA.
Fatma M SheblDivision of Infectious Disease, Department of Medicine, Boston, MA, USA.
Lael M YonkerHarvard Medical School, Boston, MA, USA.
Massachusetts General Hospital · USHarvard University · USInfectious Disease Consultants · US

Funding

Development and application of a new simulation model for COVID-19R01AI042006 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Kenneth Alan Freedberg, Anne Neilan · 1998 to 2026
$12.9M
Diagnosing and preventing HIV infection in adolescents and young adults in the US: clinical impact and cost-effectivenessK08HD094638 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI NEILAN, ANNE · 2018 to 2023
$936k
Mechanistically Disentangling the Infected, Inflamed LungK08HL143183 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI YONKER, LAEL · 2018 to 2022
$869k
NHLBI NIH HHS K08 HL143183NIAID NIH HHS R01 AI042006NICHD NIH HHS K08 HD094638
6 · The paper itself

Abstract

backgroundPatient-level predictors of enrollment in pediatric biorepositories are poorly described. Especially in pandemic settings, understanding who is likely to enroll in a biorepository is critical to interpreting analyses conducted on biospecimens. We describe predictors of pediatric COVID-19 biorepository enrollment and biospecimen donation to identify gaps in COVID-19 research on pediatric biospecimens.

methodsWe compared data from enrollees and non-enrollees aged 0-25 years with suspected or confirmed COVID-19 infection who were approached for enrollment in the Massachusetts General Hospital pediatric COVID-19 biorepository between April 12, 2020, and May 28, 2020, from community or academic outpatient or inpatient settings. Demographic and clinical data at presentation to care were from automatic and manual chart extractions. Predictors of enrollment and biospecimen donation were assessed with Poisson regression models.

resultsAmong 457 individuals approached, 214 (47%) enrolled in the biorepository. A COVID-19 epidemiologic risk factor was recorded for 53%, and 15% lived in a US Centers for Disease Control and Prevention-defined COVID-19 hotspot. Individuals living in a COVID-19 hotspot (relative risk (RR) 2.4 [95% confidence interval (CI): 1.8-3.2]), with symptoms at presentation (RR 1.8 [95% CI: 1.2-2.7]), or admitted to hospital (RR 1.8 [95% CI: 1.2-2.8]) were more likely to enroll. Seventy-nine percent of enrollees donated any biospecimen, including 97 nasopharyngeal swabs, 119 oropharyngeal swabs, and 105 blood, 16 urine, and 16 stool specimens, respectively. Age, sex, race, ethnicity, and neighborhood-level socioeconomic status based on zip code did not predict enrollment or biospecimen donation.

conclusionsWhile fewer than half of individuals approached consented to participate in the pediatric biorepository, enrollment appeared to be representative of children affected by the pandemic. Living in a COVID-19 hotspot, symptoms at presentation to care and hospital admission predicted biorepository enrollment. Once enrolled, most individuals donated a biospecimen.

Indexed as

COVID-19AdolescentAdultChildChild, PreschoolEthnicityHumansInfantInfant, NewbornMassachusettsPandemicsYoung AdultAdolescentBiorepositoryChildrenConsentCOVID-19Pediatrics

Identifiers

PMID35279115
PMCPMC8917327
OpenAlexW4220661047

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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 OpenQuestion graph.