Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing 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.
Chenxi GaoDepartment of Pharmacology and Chemical Biology, University of Pittsburgh School of Medicine, Pittsburgh, United States.
Huaibin GeUPMC Hillman Cancer Center, Division of Hematology and Oncology, Department of Medicine, University of Pittsburgh, Pittsburgh, United States.
Shih-Fan KuanDepartment of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, United States.
Chunhui CaiDepartment of Biomedical Informatics, University of Pittsburgh, Pittsburgh, United States.
Robert E SchoenDepartment of Pharmacology and Chemical Biology, University of Pittsburgh School of Medicine, Pittsburgh, United States.
Jing H WangUPMC Hillman Cancer Center, Division of Hematology and Oncology, Department of Medicine, University of Pittsburgh, Pittsburgh, United States.
Edward ChuUPMC Hillman Cancer Center, Division of Hematology and Oncology, Department of Medicine, University of Pittsburgh, Pittsburgh, United States.
WILD TYPE P53-BASED ADJUVANT IMMUNOTHERAPY FOR SCCHNP50CA097190 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Greg M. Delgoffe · 2004 to 2026
$49.6M
Targeting PYK2 for the treatment of PDACR01CA236965 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HU, JING · 2020 to 2024
$1.8M
Chemical pancreatectomy for chronic pancreatitis and pancreatic cancerR01DK120698 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ESNI, FARZAD, GITTES, GEORGE K. · 2019 to 2022
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National Institute of Allergy and Infectious Diseases AI158824NCI NIH HHS CA236965NCI NIH HHS P50 CA097190NCI NIH HHS R01 CA236965NIAID NIH HHS R21 AI158824NIDDK NIH HHS DK120698NIDDK NIH HHS R01 DK120698
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.
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