In one paragraphArticle in Research square, 2023. 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
1 · What the graph read from itWhat 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, 1 citations in OpenAlex.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
43 authors at 2 institutions in 2 countries.
Ishan ParanjpeHasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY USA.
Steven ChenIcahn School of Medicine at Mount Sinai.
Diane Del ValleIcahn School of Medicine at Mount Sinai.
Kumardeep ChaudharyIcahn School of Medicine at Mount Sinai.
Manish ParanjpeHarvard Medical School.
Ross O'HaganIcahn School of Medicine at Mount Sinai.
Samir KamatIcahn School of Medicine at Mount Sinai.
Faris GulamaliIcahn School of Medicine at Mount Sinai.
Justin KauffmanIcahn School of Medicine at Mount Sinai.
Hui XieIcahn School of Medicine at Mount Sinai.
Joceyln HarrisIcahn School of Medicine at Mount Sinai.
Kimberly ArguetaIcahn School of Medicine at Mount Sinai.
Craig BatchelorIcahn School of Medicine at Mount Sinai.
Kai NieIcahn School of Medicine at Mount Sinai.
Sergio DellepianeIcahn School of Medicine at Mount Sinai.
Leisha ScottIcahn School of Medicine at Mount Sinai.
Steven Coca
Lili ChanIcahn School of Medicine at Mount Sinai.
Seunghee Kim-SchulzeIcahn School of Medicine at Mt. Sinai.
Mount Sinai Hospital · USIcahn School of Medicine at Mount Sinai · US
Funding
High-Dimensional Immune Monitoring of NCI-Supported Immunotherapy TrialsU24CA224319 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Sacha Gnjatic, Seunghee Kim-Schulze · 2017 to 2026
$21.5MPrediction of Major Adverse Kidney Events and Recovery (Pred-MAKER) in COVID-19 PatientsR01DK118222 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Evren U. AZELOGLU · 2018 to 2026
$4.3MElucidating Genetic and Environmental Second Hits in Racial and Ethnic Minorities with APOL1 High-Risk GenotypesR01DK127139 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI NADKARNI, GIRISH NITIN · 2021 to 2025
$4.0MElucidating hereditary transthyretin-mediated heart failure risk using machine learning, polygenic risk and recall by genotype approaches in African ancestry individualsR01HL155915 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DO, RON, NADKARNI, GIRISH NITIN · 2021 to 2024
$3.4MCOVID and Translational Science supercomputer (CATS)S10OD030463 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2021 to 2021
$2.0MBig Omics Data Engine 2 SupercomputerS10OD026880 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2019 to 2019
$2.0MArtificial Intelligence to Predict Outcomes in Patients with Acute Kidney Injury on Continuous Renal Replacement TherapyR56DK126930 · NIDDK · UNIVERSITY OF KENTUCKY · PI NADKARNI, GIRISH NITIN, NEYRA, JAVIER A. · 2020 to 2020
$100kNCI NIH HHS U24 CA224319NHLBI NIH HHS R01 HL155915NIDDK NIH HHS R01 DK118222NIDDK NIH HHS R01 DK127139NIDDK NIH HHS R56 DK126930NIH HHS S10 OD026880NIH HHS S10 OD030463
6 · The paper itselfAbstract
PubMed holds no abstract for this paper.
Identifiers
PMID36993735
PMCPMC10055503
OpenAlexW4327546413
What OpenQuestion holds
Textmetadata
LicenceCC BY
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