Article in Genes, 2023. 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
5 authors.
Georg HahnDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.ORCID 0000-0001-6008-2720
Tanya NovakCritical Care Medicine, Department of Anesthesiology, Boston Children's Hospital, Boston, MA 02115, USA.ORCID 0000-0002-7115-7545
Jeremy C CrawfordSt. Jude Children's Research Hospital, Memphis, TN 38105, USA.ORCID 0000-0003-4096-6048
Adrienne G RandolphCritical Care Medicine, Department of Anesthesiology, Boston Children's Hospital, Boston, MA 02115, USA.ORCID 0000-0002-3084-3071
Christoph LangeDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Funding
Genetic Epidemiology of COPDU01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2007 to 2021
$56.9M
TOXICOLOGY CORE UNITP30ES002109 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI YAFFE, MICHAEL B · 1985 to 2020
$25.6M
Genetic Epidemiology of COPDU01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2007 to 2021
$20.7M
Systems Biology of Airway DiseaseP01HL132825 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI WEISS, SCOTT T · 2016 to 2020
$12.6M
Immunobiology of Influenza Virus-related Critical Illness in Young HostsR01AI154470 · NIAID · BOSTON CHILDREN'S HOSPITAL · PI RANDOLPH, ADRIENNE G, THOMAS, PAUL G. · 2020 to 2024
$4.7M
Genetic Epidemiology of Life-Threatening Influenza in ChildrenR01AI084011 · NIAID · BOSTON CHILDREN'S HOSPITAL · PI RANDOLPH, ADRIENNE G · 2010 to 2013
$3.1M
Preparing Association Analysis Software Tools for Next Generation Sequencing DataR01HG008976 · NHGRI · HARVARD SCHOOL OF PUBLIC HEALTH · PI LANGE, CHRISTOPH · 2016 to 2018
$1.1M
Genetic Epidemiology of Life-Threatening Influenza Infection in ChildrenR56AI084011 · NIAID · BOSTON CHILDREN'S HOSPITAL · PI RANDOLPH, ADRIENNE G · 2009 to 2009
$712k
Genes Associated with MODS in Children with Severe Acute Respiratory InfectionsR21HD095228 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI RANDOLPH, ADRIENNE G · 2018 to 2019
We are interested in detecting a departure from the baseline in a longitudinal analysis in the context of multiple organ dysfunction syndrome (MODS). In particular, we are given gene expression reads at two time points for a fixed number of genes and individuals. The individuals can be subdivided into two groups, denoted as groups
Indexed as
Multiple Organ FailureGene ExpressionHumansLinear Modelscontrastsgene expressionlongitudinal datamultiple organ dysfunction syndrome (MODS)
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.
Longitudinal Analysis of Contrasts in Gene Expression Data. · full record | OpenQuestion