Evidence map›Paper›PMID 38495609›Full record

ReviewInnovations in clinical neuroscience

Current and Emerging Technologies to Address the Placebo Response Challenge in CNS Clinical Trials: Promise, Pitfalls, and Pathways Forward.

William P Horan, Gary Sachs, Dawn I Velligan, Michael Davis, Richard S E Keefe, Ni A Khin, Florence Butlen-Ducuing, Philip D Harvey

Abstract readReview
In one paragraph

Review in Innovations in clinical neuroscience. 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. Review
  2. Review
  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

8 authors.

William P HoranDr. Horan is with Karuna Therapeutics in Boston, Massachusetts, and University of California in Los Angeles, California.
Gary SachsDr. Sachs is with Signant Health in Boston, Massachusetts, and Harvard Medical School in Boston, Massachusetts.
Dawn I VelliganDr. Velligan is with University of Texas Health Science Center at San Antonio in San Antonio, Texas.
Michael DavisDr. Davis is with Usona Institute in Madison, Wisconsin.
Richard S E KeefeDr. Keefe is with Duke University Medical Center in Durham, North Carolina.
Ni A KhinDr. Khin is with Neurocrine Biosciences, Inc. in San Diego, California.
Florence Butlen-DucuingDr. Butlen-Ducuing is with Office for Neurological and Psychiatric Disorders, European Medicines Agency in Amsterdam, The Netherlands.
Philip D HarveyDr. Harvey is with University of Miami Miller School of Medicine in Miami, Florida.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Excessive placebo response rates have long been a major challenge for central nervous system (CNS) drug discovery. As CNS trials progressively shift toward digitalization, decentralization, and novel remote assessment approaches, questions are emerging about whether innovative technologies can help mitigate the placebo response. This article begins with a conceptual framework for understanding placebo response. We then critically evaluate the potential of a range of innovative technologies and associated research designs that might help mitigate the placebo response and enhance detection of treatment signals. These include technologies developed to directly address placebo response; technology-based approaches focused on recruitment, retention, and data collection with potential relevance to placebo response; and novel remote digital phenotyping technologies. Finally, we describe key scientific and regulatory considerations when evaluating and selecting innovative strategies to mitigate placebo response. While a range of technological innovations shows potential for helping to address the placebo response in CNS trials, much work remains to carefully evaluate their risks and benefits.

Indexed as

clinical trialsecological momentary assessmentPlacebo responseregulatoryremote assessmenttechnology

Identifiers

PMID38495609
PMCPMC10941857

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.