Evidence map›Paper›PMID 38572980›Full record

ReviewClinical and translational science2024

Advancing the utilization of real-world data and real-world evidence in clinical pharmacology and translational research-Proceedings from the ASCPT 2023 preconference workshop.

Jing Liu, Karen Rowland-Yeo, Almut Winterstein, Simon Dagenais, Qi Liu, Jeffrey S Barrett, Rui Zhu, Cyrus Ghobadi, Amita Datta-Mannan, Joy Hsu and 4 more

Abstract readReview
In one paragraph

Review in Clinical and translational science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Translating real-world evidence/real-world data.Clinical and translational science · 2024
    Article
  7. 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

14 authors.

Jing LiuPfizer Inc., Groton, Connecticut, USA.ORCID 0000-0001-9481-5961
Karen Rowland-YeoCertara UK Limited (Simcyp Division), Sheffield, UK.
Almut WintersteinUniversity of Florida, Gainesville, Florida, USA.
Simon DagenaisPfizer Inc., Winchester, Massachusetts, USA.ORCID 0000-0003-3062-9312
Qi LiuOffice of Clinical Pharmacology, Office of Translational Sciences, CDER, U.S. FDA, Silver Spring, Maryland, USA.ORCID 0000-0002-4053-4213
Jeffrey S BarrettAridhia Bioinformatics, Glasgow, UK.ORCID 0000-0003-0879-1743
Rui ZhuGenentech, Inc., South San Francisco, California, USA.
Cyrus GhobadiAbbVie, Grayslake, Illinois, USA.
Amita Datta-MannanEli Lilly and Company, Indianapolis, Indiana, USA.ORCID 0000-0003-2365-5360
Joy HsuGenentech, Inc., South San Francisco, California, USA.
Sujatha MenonPfizer Inc., Groton, Connecticut, USA.
Mariam AhmedTakeda Pharmaceuticals, Cambridge, Massachusetts, USA.
Pooja ManchandaniAstellas Pharma Global Drug Development Inc., Northbrook, Illinois, USA.ORCID 0000-0003-0025-5137
Paulien RavenstijnAffimed GmbH, Mannheim, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real-world data (RWD) and real-world evidence (RWE) are now being routinely used in epidemiology, clinical practice, and post-approval regulatory decisions. Despite the increasing utility of the methodology and new regulatory guidelines in recent years, there remains a lack of awareness of how this approach can be applied in clinical pharmacology and translational research settings. Therefore, the American Society of Clinical Pharmacology & Therapeutics (ASCPT) held a workshop on March 21st, 2023 entitled "Advancing the Utilization of Real-World Data (RWD) and Real-World Evidence (RWE) in Clinical Pharmacology and Translational Research." The work described herein is a summary of the workshop proceedings.

Indexed as

Pharmacology, ClinicalHumansTranslational Research, BiomedicalTranslational Science, Biomedical

Identifiers

PMID38572980
PMCPMC10993776

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.