Evidence map›Paper›PMID 32510524›Full record

ArticlebioRxiv : the preprint server for biology2020

Expression of

Hanbing Song, Bobak Seddighzadeh, Matthew R Cooperberg, Franklin W Huang

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2020. 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 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

0 citing papers in PubMed, 15 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Hanbing SongDivision of Hematology/Oncology, Department of Medicine; Helen Diller Family Comprehensive Cancer Center; Bakar Computational Health Sciences Institute; Institute for Human Genetics; University of California, San Francisco, San Francisco, CA.
Bobak SeddighzadehDivision of Hematology/Oncology, Department of Medicine; Helen Diller Family Comprehensive Cancer Center; Bakar Computational Health Sciences Institute; Institute for Human Genetics; University of California, San Francisco, San Francisco, CA.
Matthew R CooperbergDepartment of Urology, Department of Epidemiology and Biostatistics; Helen Diller Family Comprehensive Cancer Center; University of California, San Francisco, San Francisco, CA.
Franklin W HuangDivision of Hematology/Oncology, Department of Medicine; Helen Diller Family Comprehensive Cancer Center; Bakar Computational Health Sciences Institute; Institute for Human Genetics; University of California, San Francisco, San Francisco, CA.
UCSF Helen Diller Family Comprehensive Cancer Center · US

Funding

Research on Prostate Cancer in Men of African Ancestry: Defining the Roles of Genetics, Immunity and Stress (RESPOND)U19CA214253 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HAIMAN, CHRISTOPHER ALAN · 2018 to 2023
$16.8M
Precision Interception of Aggressive Prostate Cancer in African American MenP20CA233255 · NCI · DANA-FARBER CANCER INST · PI REBBECK, TIMOTHY R · 2018 to 2020
$3.2M
NCI NIH HHS P20 CA233255NCI NIH HHS U19 CA214253
6 · The paper itself

Abstract

The COVID-19 pandemic has spread across more than 200 countries and resulted in over 170,000 deaths. For unclear reasons, higher mortality rates from COVID-19 have been reported in men compared to women. While the SARS-CoV-2 receptor

Indexed as

ACE2COVID-19lungprostateSARS-CoV-2sexTMPRSS2

Identifiers

PMID32510524
PMCPMC7263499
OpenAlexW3018519923

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.