Evidence map›Paper›PMID 36973491›Full record

ReviewNature reviews. Drug discovery2023

Overcoming barriers to patient adherence: the case for developing innovative drug delivery systems.

Tsvetelina H Baryakova, Brett H Pogostin, Robert Langer, Kevin J McHugh

Abstract readReview
In one paragraph

Review in Nature reviews. Drug discovery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 205 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
205citing papers in PubMed, 5 pooled it
–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

205 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Analysis of multi-drug cancer nanomedicine.Nature nanotechnology · 2025
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145 more citing papers are in PubMed but not listed here.

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

4 authors.

Tsvetelina H BaryakovaDepartment of Bioengineering, Rice University, Houston, TX, USA.ORCID 0000-0002-3484-9227
Brett H PogostinDepartment of Bioengineering, Rice University, Houston, TX, USA.ORCID 0000-0002-1462-4442
Robert LangerDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0003-4255-0492
Kevin J McHughDepartment of Bioengineering, Rice University, Houston, TX, USA. kevin.mchugh@rice.edu.ORCID 0000-0001-6801-4431

Funding

Solvent Evaporator Equipment Supplement to R35GM143101R35GM143101 · NIGMS · RICE UNIVERSITY · PI MCHUGH, KEVIN JAMES · 2021 to 2025
$2.1M
NIGMS NIH HHS R35 GM143101
6 · The paper itself

Abstract

Poor medication adherence is a pervasive issue with considerable health and socioeconomic consequences. Although the underlying reasons are generally understood, traditional intervention strategies rooted in patient-centric education and empowerment have proved to be prohibitively complex and/or ineffective. Formulating a pharmaceutical in a drug delivery system (DDS) is a promising alternative that can directly mitigate many common impediments to adherence, including frequent dosing, adverse effects and a delayed onset of action. Existing DDSs have already positively influenced patient acceptability and improved rates of adherence across various disease and intervention types. The next generation of systems have the potential to instate an even more radical paradigm shift by, for example, permitting oral delivery of biomacromolecules, allowing for autonomous dose regulation and enabling several doses to be mimicked with a single administration. Their success, however, is contingent on their ability to address the problems that have made DDSs unsuccessful in the past.

Indexed as

Drug Delivery SystemsMedication AdherenceHumans

Identifiers

PMID36973491
PMCPMC10041531

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.