Article in Journal of the National Cancer Institute, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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.
Devin C. Koeslter [corrected to Devin C. Koestler]
5 · Who and what money
Authors and funding
4 authors.
Brooke L FridleyAffiliations of authors: Department of Biostatistics (BLF, DK) and Department of Pathology and Laboratory Medicine (AKG), University of Kansas Medical Center, and University of Kansas Cancer Center (BLF, DK, AKG), Kansas City, KS. bfridley@kumc.edu.
Devin C Koestler
Devin C KoeslterAffiliations of authors: Department of Biostatistics (BLF, DK) and Department of Pathology and Laboratory Medicine (AKG), University of Kansas Medical Center, and University of Kansas Cancer Center (BLF, DK, AKG), Kansas City, KS.
Andrew K GodwinAffiliations of authors: Department of Biostatistics (BLF, DK) and Department of Pathology and Laboratory Medicine (AKG), University of Kansas Medical Center, and University of Kansas Cancer Center (BLF, DK, AKG), Kansas City, KS.
Funding
Heartland Institute for Clinical and Translational ResearchUL1TR000001 · NCATS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI BAROHN, RICHARD J. · 2012 to 2015
$13.0M
Heartland Institute for Clinical and Translational ResearchKL2TR000119 · NCATS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI BAROHN, RICHARD J. · 2012 to 2015
$2.5M
Spatial and Bayesian modeling methods for assessment of the tumor immune microenvironment and survival of women with ovarian cancerR01CA279065 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI Brooke L Fridley, Lauren Cole Peres · 2023 to 2026
$2.2M
Exploiting Biological Networks to Improve Clinical Treatment of Ovarian CancerR01CA140323 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI GODWIN, ANDREW K. · 2010 to 2014
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.
Individualizing care for ovarian cancer patients using big data. · full record | OpenQuestion