Evidence map›Paper›PMID 37409267›Full record

ArticleJournal of the American Statistical Association2023

Xiaoyu Song, Jiayi Ji, Pei Wang

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Statistical Association, 2023. 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
0.2field-weighted citation impact, top 52% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Xiaoyu SongTisch Cancer Institute, Institute for Health Care Delivery Science, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY.
Jiayi JiTisch Cancer Tisch Cancer Institute, Institute for Health Care Delivery Science, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY.
Pei WangDepartment of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY.
Icahn School of Medicine at Mount Sinai · US

Funding

THE TISCH CANCER INSTITUTE - CANCER CENTER SUPPORT GRANTP30CA196521 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Ramon E Parsons · 2015 to 2026
$35.4M
Proteogenomic translator for cancer biomarker discovery towards precision medicineU24CA271114 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Avi Ma'ayan, Pei Wang · 2022 to 2026
$5.0M
Systems Biology based Proteogenomic Translator for Cancer Marker Discovery towards Precision MedicineU24CA210993 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SCHADT, ERIC E, WANG, PEI · 2016 to 2020
$4.6M
Genomic and Transcriptomic Analysis of Mammographic DensityR01CA237541 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI HABEL, LAUREL A, SIEH, WEIVA · 2020 to 2023
$2.0M
Statistical methods for studying cell-cell interactions using spatial transcriptomics for Alzheimer's diseaseR03AG075567 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SONG, XIAOYU · 2022 to 2023
$338k
NCI NIH HHS P30 CA196521NCI NIH HHS R01 CA237541NCI NIH HHS U24 CA210993NCI NIH HHS U24 CA271114NIA NIH HHS R03 AG075567
6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused over six million deaths in the ongoing COVID-19 pandemic. SARS-CoV-2 uses ACE2 protein to enter human cells, raising a pressing need to characterize proteins/pathways interacted with ACE2. Large-scale proteomic profiling technology is not mature at single-cell resolution to examine the protein activities in disease-relevant cell types. We propose

Indexed as

ACE2cell-type-specific associationCOVID-19mixture modelproteomics

Identifiers

PMID37409267
PMCPMC10321538
OpenAlexW4292407547

What OpenQuestion holds

Textmetadata
LicenceTDM
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.