Evidence map›Paper›PMID 35750035›Full record

ArticleCell2022

Cannabinoid receptor 1 antagonist genistein attenuates marijuana-induced vascular inflammation.

Tzu-Tang Wei, Mark Chandy, Masataka Nishiga, Angela Zhang, Kaavya Krishna Kumar, Dilip Thomas, Amit Manhas, Siyeon Rhee, Johanne Marie Justesen, Ian Y Chen and 15 more

Open access · bronzeAbstract readPublished Erratum
PubMed Publisher
In one paragraph

Article in Cell, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Journal of Cancer · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors.

Tzu-Tang Wei
Mark Chandy
Masataka Nishiga
Angela Zhang
Kaavya Krishna Kumar
Dilip Thomas
Amit Manhas
Siyeon Rhee
Johanne Marie Justesen
Ian Y Chen
Hung-Ta Wo
Saereh Khanamiri
Johnson Y Yang
Frederick J Seidl
Noah Z Burns
Chun Liu
Nazish Sayed
Jiun-Jie Shie
Chih-Fan Yeh
Kai-Chien Yang
Edward Lau
Kara L Lynch
Manuel Rivas
Brian K Kobilka
Joseph C Wu

Funding

Using Deep Learning to Predict Induced Pluripotent Stem Cell-Derived Cardiomyocyte (iPSC-CM) Differentiation OutcomesF30HL156478 · NHLBI · STANFORD UNIVERSITY · PI ZHANG, ANGELA · 2021 to 2023
$118k
NHLBI NIH HHS F30 HL156478
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID35750035
OpenAlexW4283317759

What OpenQuestion holds

Textmetadata
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.