Article in The Journal of 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
–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.
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
7 authors.
Jonathan M MansbachDepartment of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA. Electronic address: jonathan.mansbach@childrens.harvard.edu.
Ying Shelly QiDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Janice A EspinolaDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Kohei HasegawaDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Henry T PulsDepartment of Pediatrics, Children's Mercy Kansas City, University of Missouri-Kansas City School of Medicine, Kansas City, MO.
Ashley F SullivanDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Carlos A CamargoDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Funding
Host genetics, early-life microbiome, and childhood asthma: MARC-43 BostonUH3OD023253 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI CARLOS ARTURO CAMARGO · 2018 to 2026
$12.1M
Nasal microRNA during bronchiolitis and age 6y asthma phenotypes: MARC-35 cohortR01AI127507 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI CAMARGO, CARLOS ARTURO, FREISHTAT, ROBERT J · 2017 to 2021
$8.0M
Host genetics, early-life microbiome, and childhood asthma: MARC-43 BostonUG3OD023253 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI CAMARGO, CARLOS ARTURO · 2016 to 2024
$6.8M
Prospective Cohort Study of Severe Bronchiolitis and Risk of Recurrent WheezingU01AI087881 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI CAMARGO, CARLOS ARTURO · 2011 to 2016
$6.2M
Infant specific-IgE, rhinovirus-C bronchiolitis, and incident asthma in MARC-35R01AI114552 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI CAMARGO, CARLOS ARTURO · 2015 to 2019
$4.2M
Viral persistence & the microbiome in bronchiolitis and risk of recurrent wheezeR01AI108588 · NIAID · BOSTON CHILDREN'S HOSPITAL · PI MANSBACH, JONATHAN M · 2015 to 2018
In a prospective, multicenter cohort of infants hospitalized with bronchiolitis, we found infants born late pre-term (ie, gestational age of 34-36.9 weeks) had 35% higher odds of having asthma by age 5 years compared with infants born at full-term.
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.
Late Pre-term Infants with Severe Bronchiolitis and Risk of Asthma by Age 5 Years. · full record | OpenQuestion