Evidence map›Paper›PMID 32680924›Full record

ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2020

Oncology-Inspired Treatment Options for COVID-19.

Nagavarakishore Pillarsetty, Lukas M Carter, Jason S Lewis, Thomas Reiner

Open access · hybridAbstract read
In one paragraph

Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 18% of its field
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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Reply: Potential Use of Radiolabeled Antibodies for Imaging and Treatment of COVID-19.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2021
    Article
  7. Potential Use of Radiolabeled Antibodies for Imaging and Treatment of COVID-19.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2021
    Article
  8. Review
  9. Review
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Nagavarakishore PillarsettyDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.
Lukas M CarterDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.
Jason S LewisDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.
Thomas ReinerDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York reinert@mskcc.org.
Memorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Leveraging Pb-203/212 for the Theranostic Imaging and Therapy of Prostate CancerR35CA232130 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI LEWIS, JASON S. · 2019 to 2025
$8.2M
Radioiodinated Multifunctional PARP1 Imaging Probes for Diagnosis and TherapyR01CA204441 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI PILLARSETTY, NAGAVARAKISHORE · 2016 to 2020
$2.9M
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA204441NCI NIH HHS R35 CA232130
6 · The paper itself

Abstract

CR3022 is a human antibody that binds to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Here, we explore the use of CR3022 as a molecularly targeted radiotherapeutic.

Indexed as

Antibodies, MonoclonalCOVID-19HumansIodine RadioisotopesMicrospheresSpike Glycoprotein, CoronavirusAntibodies, MonoclonalIodine-131Iodine RadioisotopesSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2augerCOVID-19CR3022radiotherapySARS-CoV-2

Identifiers

PMID32680924
PMCPMC8679628
OpenAlexW3042231069

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.