Evidence map›Paper›PMID 39220208›Full record

ArticleFrontiers in integrative neuroscience2024

Ultra-overt therapy: a novel medical approach centered on patient consciousness.

Kamran Shirbache, Amirreza Liaghat, Sanam Saeifar, Ahmadreza Nezameslami, Ali Shirbacheh, Hamid Nasri, Hamidreza Namazi

Abstract read
In one paragraph

Article in Frontiers in integrative neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kamran ShirbacheDepartment of Orthopedics, Hôpital Robert-Debré, Paris, France.
Amirreza LiaghatImmunology from Concepts and Experiments to Translation, CNRS UMR 5164, Université Bordeaux Montaigne, Bordeaux, France.
Sanam SaeifarBuchmann Institute for Molecular Life Sciences (BMLS), Cluster of Excellence Frankfurt Macromolecular Complexes (CEF-MC), Goethe University Frankfurt am Main, Frankfurt am Main, Germany.
Ahmadreza NezameslamiDepartment of Orthopedics, Mayo Clinic, Rochester, MN, United States.
Ali ShirbachehCentre Hospitalier de l'agglomération de Nevers, Nevers, France.
Hamid NasriNickan Research Institute, Isfahan, Iran.
Hamidreza NamaziDepartment of Medical Ethics, School of Medicine, Medical Ethics and History of Medicine Research Center, Tehran University of Medical Science, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Within the realms of human and artificial intelligence, the concepts of consciousness and comprehension are fundamental distinctions. In the clinical sphere, patient awareness regarding medication and its physiological processes plays a crucial role in determining drug efficacy and outcomes. This article introduces a novel perspective on prescription practices termed "Ultra-Overt Therapy" (UOT). A review of current supporting evidence was conducted through a non-systematic search in PubMed and Google Scholar, focusing on concepts such as the "mind-body relationship," "placebo response," "neuroscience," and "complementary medicine." Our findings, rooted in the mechanisms of the "placebo effect," the intricacies of "intersubjective therapy," the potency of "interoceptive awareness," and other domains of medical science, suggest that UOT holds theoretical promise. Future research endeavors focusing on these areas may elucidate the global impact of this method on medical treatment and patient care.

Indexed as

interoceptive awarenessintersubjective therapymeaning systemmind–body medicineneuroscienceovert treatmentpersonalized medicineplacebo response

Identifiers

PMID39220208
PMCPMC11363186

What OpenQuestion holds

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Registered trials

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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.