Evidence map›Paper›PMID 38715803›Full record

ArticleAmerican journal of translational research2024

Development and application of the Rapha

Vladimir F Nogueira, Adson F da Rocha, Suélia Srf Rosa, Otávio Sae Nogueira, Mario Ff Rosa

Abstract read
In one paragraph

Article in American journal of translational research, 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. 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

5 authors.

Vladimir F NogueiraGraduate Program in Electrical Engineering, University of Brasília (UnB) Brasília, Brazil.
Adson F da RochaGraduate Program in Electrical Engineering, University of Brasília (UnB) Brasília, Brazil.
Suélia Srf RosaGraduate Program in Biomedical Engineering, UnB Brasília, Brazil.
Otávio Sae NogueiraGraduate Program in Electrical Engineering, University of Brasília (UnB) Brasília, Brazil.
Mario Ff RosaGraduate Program in Biomedical Engineering, UnB Brasília, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTransforming medical research into real-world healthcare solutions is a complex endeavor that may benefit from the synergy between academic research, governmental support, and industry innovation.

objectivesIn this article we delve into the framework of Translational Medical Research (TMR) in Brazil, elucidating the possible interplay between public universities and other pivotal stakeholders in the translational journey.

methodsOur focal point is the Rapha

resultsThe research begins by examining public policies, aiming to carve out a socially inclusive and advantageous ecosystem. We then highlight the pivotal components-steps, milestones, stakeholders, and policies that underpin the TMR process. Our findings reveal that while TMR frequently culminates in patents and technology transfer agreements, specific regulatory and production challenges exist, particularly during transitioning from the T3 (clinical trials) to T4 (public health practice) phase. We provide insights into its translational progression by tracing the developmental stages from foundational research (T0) to clinical trials (T3) for the Rapha

conclusionUltimately, this study underscores TMR's vital role in advancing healthcare access and posits that academic institutions can significantly influence the creation of ethically robust, regulated, and impactful medical innovations, contributing meaningfully to global healthcare.

Indexed as

Brazil’s unified health systemdiabetic foothealth policy and technology readiness levelRapha® deviceTMR

Identifiers

PMID38715803
PMCPMC11070364

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.