Evidence map›Paper›PMID 34054413›Full record

ArticleFrontiers in neuroscience2021

Translational Block in Stroke: A Constructive and "Out-of-the-Box" Reappraisal.

Athanasios Lourbopoulos, Iordanis Mourouzis, Christodoulos Xinaris, Nefeli Zerva, Konstantinos Filippakis, Angelos Pavlopoulos, Constantinos Pantos

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 33 citations in OpenAlex.

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  15. Machine learning based analysis of stroke lesions on mouse tissue sections.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022
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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

7 authors at 2 institutions in 4 countries.

Athanasios LourbopoulosDepartment of Pharmacology, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
Iordanis MourouzisDepartment of Pharmacology, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
Christodoulos XinarisIRCCS - Istituto di Ricerche Farmacologiche 'Mario Negri', Centro Anna Maria Astori, Bergamo, Italy.
Nefeli ZervaDepartment of Pharmacology, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
Konstantinos FilippakisDepartment of Pharmacology, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
Angelos PavlopoulosDepartment of Pharmacology, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
Constantinos PantosDepartment of Pharmacology, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
National and Kapodistrian University of Athens · GRMario Negri Institute for Pharmacological Research · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Why can we still not translate preclinical research to clinical treatments for acute strokes? Despite > 1000 successful preclinical studies, drugs, and concepts for acute stroke, only two have reached clinical translation. This is the translational block. Yet, we continue to routinely model strokes using almost the same concepts we have used for over 30 years. Methodological improvements and criteria from the last decade have shed some light but have not solved the problem. In this conceptual analysis, we review the current status and reappraise it by thinking "out-of-the-box" and over the edges. As such, we query why other scientific fields have also faced the same translational failures, to find common denominators. In parallel, we query how migraine, multiple sclerosis, and hypothermia in hypoxic encephalopathy have achieved significant translation successes. Should we view ischemic stroke as a "chronic, relapsing, vascular" disease, then secondary prevention strategies are also a successful translation. Finally, based on the lessons learned, we propose how stroke should be modeled, and how preclinical and clinical scientists, editors, grant reviewers, and industry should reconsider their routine way of conducting research. Translational success for stroke treatments may eventually require a bold change with solutions that are outside of the box.

Indexed as

clinicalexperimental stroke modelsfailure of translationinterdisciplinarypreclinicalstroketranslational blocktranslational success

Identifiers

PMID34054413
PMCPMC8160233
OpenAlexW3160448343

What OpenQuestion holds

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LicenceCC BY
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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.