In one paragraphArticle in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
14 authors.
Enock NiyonkuruBakar Computational Health Sciences Institute, University of California, San Francisco; San Francisco, CA, USA.ORCID 0000-0002-7981-8133 Umair KhanBakar Computational Health Sciences Institute, University of California, San Francisco; San Francisco, CA, USA.ORCID 0000-0002-6361-4996 Xinyu TangBakar Computational Health Sciences Institute, University of California, San Francisco; San Francisco, CA, USA.ORCID 0000-0002-4567-4012 Laura AlmonteBakar Computational Health Sciences Institute, University of California, San Francisco; San Francisco, CA, USA.
Eden ChunBakar Computational Health Sciences Institute, University of California, San Francisco; San Francisco, CA, USA.ORCID 0009-0006-8857-101X Brenda AmetepeBakar Computational Health Sciences Institute, University of California, San Francisco; San Francisco, CA, USA.ORCID 0009-0007-5914-4999 Carlota Pereda SerrasBakar Computational Health Sciences Institute, University of California, San Francisco; San Francisco, CA, USA.ORCID 0000-0003-1625-215X Boris OskotskyBakar Computational Health Sciences Institute, University of California, San Francisco; San Francisco, CA, USA.ORCID 0000-0002-9364-7051 Brice GaudillièreDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford School of Medicine, Stanford, CA, USA.ORCID 0000-0002-3475-5706 David K StevensonDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-7127-0281 Jessica NeelyDivision of Pediatric Rheumatology, Department of Pediatrics, University of California, San Francisco; San Francisco, CA, USA.ORCID 0000-0003-0420-7933 Linda C GiudiceDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco; San Francisco, CA, USA.ORCID 0000-0002-1677-0822 Tomiko OskotskyBakar Computational Health Sciences Institute, University of California, San Francisco; San Francisco, CA, USA.ORCID 0000-0001-7393-5120 Marina SirotaBakar Computational Health Sciences Institute, University of California, San Francisco; San Francisco, CA, USA.ORCID 0000-0002-7246-6083 Funding
No grant is acknowledged in the PubMed record.
6 · The paper itselfAbstract
Transcriptome-based drug repurposing can accelerate therapeutic discovery, but is limited by fragmented resources, inconsistent quality control, and reliance on single perturbation databases. We developed CDRPipe (
Identifiers
PMID42539175
PMCPMC13419695
What Socratic holds
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