Evidence map›Paper›PMID 38973350›Full record

ArticleDisease models & mechanisms2024

The role of the International Society for Stem Cell Research (ISSCR) guidelines in disease modeling.

Cody Juguilon, Joseph C Wu

Abstract read
In one paragraph

Article in Disease models & mechanisms, 2024. 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
–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

2 citing papers in PubMed.

  1. Review
  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

2 authors.

Cody JuguilonStanford Cardiovascular Institute, Stanford University, Stanford, CA 94305, USA.
Joseph C WuStanford Cardiovascular Institute, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-6068-8041

Funding

Elucidating Mechanism of Cardiac Fibrosis with Cell Village of Pooled Human iPSCsR01HL130020 · NHLBI · STANFORD UNIVERSITY · PI Ronglih Liao, MARK MERCOLA · 2016 to 2026
$7.3M
Human iPSCs for Elucidating Intercellular Crosstalk Signaling in Dilated CardiomyopathyR01HL141371 · NHLBI · STANFORD UNIVERSITY · PI WONG, WING H., WU, JOSEPH C. · 2018 to 2025
$6.2M
Genome Editing of Human iPSCs to Study Inherited Hypertrophic CardiomyopathyR01HL126527 · NHLBI · STANFORD UNIVERSITY · PI QI, LEI STANLEY, WU, JOSEPH C. · 2015 to 2022
$5.4M
Human iPSC Model to Elucidate Metabolic Interplay in Diabetic CardimyopathyR01HL146690 · NHLBI · STANFORD UNIVERSITY · PI LIAO, RONGLIH, MERCOLA, MARK · 2019 to 2025
$5.1M
Multi-Disciplinary Training Program in Cardiovascular Imaging at StanfordT32EB009035 · NIBIB · STANFORD UNIVERSITY · PI Koen Nieman, John M. Pauly · 2008 to 2026
$4.3M
NHLBI NIH HHS R01 HL126527NHLBI NIH HHS R01 HL130020NHLBI NIH HHS R01 HL141371NHLBI NIH HHS R01 HL146690NIBIB NIH HHS T32 EB009035NIH HHS R01 HL130020
6 · The paper itself

Abstract

Human stem cell-based modeling systems are valuable tools that can greatly improve the clinical translation of basic research. Importantly, the successful application of human stem cell-based models to biomedical research depends on the widespread adoption of ethical principles and practical standards. To achieve this outcome, the International Society for Stem Cell Research (ISSCR) provides a comprehensive set of recommendations that aim to promote the ethical usage of human stem cells and to ensure rigor and reproducibility within the field. Understanding and implementing these recommendations should be a top priority for investigators around the world.

Indexed as

Guidelines as TopicStem Cell ResearchAnimalsHumansModels, BiologicalSocieties, ScientificStem CellsDisease modelingISSCRStem cells

Identifiers

PMID38973350
PMCPMC11261629

What OpenQuestion holds

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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.