Evidence map›Paper›PMID 39268306›Full record

ReviewCureus2024

The Revolution of Digital Therapeutics (DTx) in the Pharmaceutical Industry and Their Quality Impacts.

Anuciya Rajendran, Alekhya Kella, Damodharan Narayanasamy

Abstract readReview
In one paragraph

Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Anuciya RajendranDepartment of Pharmaceutical Quality Assurance, SRM College of Pharmacy, Faculty of Medicine and Health Science, SRM Institute of Science and Technology, Chengalpattu, IND.
Alekhya KellaDepartment of Pharmaceutical Quality Assurance, SRM College of Pharmacy, Faculty of Medicine and Health Science, SRM Institute of Science and Technology, Chengalpattu, IND.
Damodharan NarayanasamyDepartment of Pharmaceutical Quality Assurance, SRM College of Pharmacy, Faculty of Medicine and Health Science, SRM Institute of Science and Technology, Chengalpattu, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An increasing number of developments and trends are driving the expansion of the digital therapeutics (DTx) market in the pharmaceutical industry. Digital therapeutics are therapies intended to treat, diagnose, and prevent diseases by using patient-directed clinically assessed software applications, which can optimize the effectiveness and delivery of healthcare. These digital innovations became important as the world changed, particularly during the coronavirus pandemic. Nowadays pharma companies are getting more comfortable with the idea of digital therapies. The majority of pharmaceutical companies are examining how to incorporate pharmaceuticals and digital therapies into their treatment regimens, leveraging digital tools to enhance patient outcomes and streamline healthcare delivery. A thorough overview of the most recent technological advancements in the creation of digital therapies shows particular technologies that are essential to the market's future growth. Moreover, the evaluation of digital therapeutics by clinical trial and real-world data is outlined. The critical quality attributes of DTx products and the challenges, including data management issues and regulatory obstacles, which make the creation, approval, and marketing of customized medicines more difficult, are covered in this review article. Overall, pharma companies are venturing into the world of digital therapeutics while acknowledging the limitations of the emerging field.

Indexed as

digital health technologies (dht)digital technologiesdigital therapeutics (dtx)medical devicesoftware systems

Identifiers

PMID39268306
PMCPMC11392520

What OpenQuestion 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 OpenQuestion graph.