Evidence mapPaperPMID 33996785Full record

ReviewFrontiers in bioengineering and biotechnology2021

Current Status and Limitations of Myocardial Infarction Large Animal Models in Cardiovascular Translational Research.

Hye Sook Shin, Heather Hyeyoon Shin, Yasuhiro Shudo

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in bioengineering and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

34 citing papers in PubMed, 55 citations in OpenAlex.

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  16. Cardioprotection in cardiovascular surgery.Basic research in cardiology · 2024
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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 2 institutions in 1 country.

Hye Sook ShinDepartment of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, CA, United States.
Heather Hyeyoon ShinDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States.
Yasuhiro ShudoDepartment of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, CA, United States.
Stanford University · USCardiovascular Institute of the South · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Establishing an appropriate disease model that mimics the complexities of human cardiovascular disease is critical for evaluating the clinical efficacy and translation success. The multifaceted and complex nature of human ischemic heart disease is difficult to recapitulate in animal models. This difficulty is often compounded by the methodological biases introduced in animal studies. Considerable variations across animal species, modifications made in surgical procedures, and inadequate randomization, sample size calculation, blinding, and heterogeneity of animal models used often produce preclinical cardiovascular research that looks promising but is irreproducible and not translatable. Moreover, many published papers are not transparent enough for other investigators to verify the feasibility of the studies and the therapeutics' efficacy. Unfortunately, successful translation of these innovative therapies in such a closed and biased research is difficult. This review discusses some challenges in current preclinical myocardial infarction research, focusing on the following three major inhibitors for its successful translation: Inappropriate disease model, frequent modifications to surgical procedures, and insufficient reporting transparency.

Indexed as

heart failurelarge animal modelslarge animal surgerymyocardial infarctionpreclinicalreviewtranslational research

Identifiers

PMID33996785
PMCPMC8116580
OpenAlexW3158151705

What Socratic 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 Socratic graph.