Evidence map›Paper›PMID 35912537›Full record

ReviewClinical and translational science2022

Integrating real-world data to accelerate and guide drug development: A clinical pharmacology perspective.

Xiaochen Zhao, Shahed Iqbal, Ivelisse L Valdes, Mark Dresser, Sandhya Girish

Open access · goldAbstract readReview
In one paragraph

Review in Clinical and translational science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.1field-weighted citation impact, top 6% of its field
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

11 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
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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

5 authors at 1 institution in 1 country.

Xiaochen ZhaoDepartment of Clinical Pharmacology, Gilead Sciences, Inc., Foster City, California, USA.
Shahed IqbalDepartment of Clinical Pharmacology, Gilead Sciences, Inc., Foster City, California, USA.
Ivelisse L ValdesDepartment of Clinical Pharmacology, Gilead Sciences, Inc., Foster City, California, USA.
Mark DresserDepartment of Clinical Pharmacology, Gilead Sciences, Inc., Foster City, California, USA.
Sandhya GirishDepartment of Clinical Pharmacology, Gilead Sciences, Inc., Foster City, California, USA.
Gilead Sciences (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmaceutical products in the current accelerated drug development landscape can benefit from tools beyond data generated from randomized control trials. We have seen an abundance of real-world data (RWD) and real-world evidence, driven by the digitalization of healthcare systems and an increased awareness that has inspired a heightened interest in their potential use. Literature review suggest leveraging RWD as a promising tool to answer key questions in the areas of clinical pharmacology and translational science. RWD may increase our understanding regarding the impact of intrinsic (e.g., liver, renal impairment, or genetic polymorphisms) and extrinsic (e.g., food consumption or concomitant medications) factors on the clearance of administered drugs. Changes in clearance may lead to clinically relevant changes in drug exposure that may require clinical management strategies, such as change in dose or dosing regimen. RWD can be leveraged to potentially bridge the gaps among research, development, and clinical care. This paper highlights promising areas of how RWD have been used to complement clinical pharmacology throughout various phases of drug development; case examples will include dose/regimen extrapolation, dose adjustments for special populations (organ impairment, pediatrics, etc.), and pharmacokinetic/pharmacodynamic models to assess impact of prognostic factors on outcomes. In addition, this paper will also juxtapose limitations and promises of utilizing RWD to answer key scientific questions in drug development and articulate challenges posed by quality issues, data availability, and integration from various sources as well as the increased need for multidimensional-omics data that can better guide the development of personalized and predictive medicine.

Indexed as

Pharmacology, ClinicalChildDelivery of Health CareDrug DevelopmentHumansPharmaceutical PreparationsPharmaceutical Preparations

Identifiers

PMID35912537
PMCPMC9579393
OpenAlexW4289201649

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.