Article in Genetic epidemiology, 2021. 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.
Qianchuan HePublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.ORCID 0000-0001-7044-6591
Yang LiuDepartment of Mathematics and Statistics, Wright State University, Dayton, Ohio, USA.
Meiling LiuPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Michael C WuPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Li HsuPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Funding
Statistical Methods for Analysis of Tumor Heterogeneity in Genetic EpidemiologyR01CA189532 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HSU, LI · 2015 to 2023
$4.2M
Cancer imaging phenomics software suite: application to brain and breast cancerU24CA189523 · NCI · UNIVERSITY OF PENNSYLVANIA · PI DAVATZIKOS, CHRISTOS, KONTOS, DESPINA · 2015 to 2019
$3.2M
Integrative Genomics into Genetic Association Studies of Blood Pressure and Stroke in African AmericansR01HL152439 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HSU, LI, KOOPERBERG, CHARLES L · 2021 to 2024
$2.8M
Methods for Analyzing Cancer Somatic Mutation DataR01CA223498 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HE, QIANCHUAN · 2018 to 2022
$2.0M
High-Performance Compute Cluster for Comprehensive Cancer and Infectious Diseases ResearchS10OD028685 · OD · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BRADLEY, PHILIP · 2020 to 2020
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.
Random effect based tests for multinomial logistic regression in genetic association studies. · full record | OpenQuestion