Evidence map›Paper›PMID 27659159›Full record

ArticleJournal of pharmaceutical sciences2016

Optimizing Clinical Drug Product Performance: Applying Biopharmaceutics Risk Assessment Roadmap (BioRAM) and the BioRAM Scoring Grid.

Paul A Dickinson, Filippos Kesisoglou, Talia Flanagan, Marilyn N Martinez, Hitesh B Mistry, John R Crison, James E Polli, Maria T Cruañes, Abu T M Serajuddin, Anette Müllertz and 2 more

Abstract readComment
PubMed Publisher
In one paragraph

Article in Journal of pharmaceutical sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Surge DosePharmaceutics · 2025
    Article
  3. Review
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Paul A DickinsonSeda Pharmaceutical Development Services, The Biohub at Alderley Park, Alderley Edge, Cheshire, UK SK10 4TG.
Filippos KesisoglouBiopharmaceutics, Pharmaceutical Sciences and Clinical Supply, Merck & Co, Inc., West Point, Pennsylvania 19486.
Talia FlanaganPharmaceutical Technology and Development, AstraZeneca R&D, Macclesfield, UK SK10 2NA.
Marilyn N MartinezUS Food and Drug Administration/Center for Veterinary Medicine/Office of New Animal Drug Evaluation, Rockville, Maryland 20855.
Hitesh B MistryManchester Pharmacy School, University of Manchester, Manchester, UK M13 9PT.
John R CrisonPharmaceutical Consulting, LLC, Martindale, New Jersey 08836.
James E PolliIndustrial Pharmacy and Pharmaceutics, University of Maryland School of Pharmacy, Baltimore, Maryland 21201.
Maria T CruañesMerck & Co., Las Piedras Operations, Las Piedras, Puerto Rico 00771.
Abu T M SerajuddinCollege of Pharmacy and Health Sciences, St. John's University, Queens, New York 11439.
Anette MüllertzBioneer: FARMA, Department of Pharmacy, University of Copenhagen, Copenhagen, Denmark 1165.
Jack A CookClinical Pharmacology Department, Global Product Development, Pfizer, Inc., Groton, Connecticut 06340.
Arzu SelenUS Food and Drug Administration/Center for Drug Evaluation and Research/Office of Pharmaceutical Quality/Office of Testing and Research, Silver Spring, Maryland 20993. Electronic address: arzu.selen@fda.hhs.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of Biopharmaceutics Risk Assessment Roadmap (BioRAM) and the BioRAM Scoring Grid is to facilitate optimization of clinical performance of drug products. BioRAM strategy relies on therapy-driven drug delivery and follows an integrated systems approach for formulating and addressing critical questions and decision-making (J Pharm Sci. 2014,103(11): 3777-97). In BioRAM, risk is defined as not achieving the intended in vivo drug product performance, and success is assessed by time to decision-making and action. Emphasis on time to decision-making and time to action highlights the value of well-formulated critical questions and well-designed and conducted integrated studies. This commentary describes and illustrates application of the BioRAM Scoring Grid, a companion to the BioRAM strategy, which guides implementation of such an integrated strategy encompassing 12 critical areas and 6 assessment stages. Application of the BioRAM Scoring Grid is illustrated using published literature. Organizational considerations for implementing BioRAM strategy, including the interactions, function, and skillsets of the BioRAM group members, are also reviewed. As a creative and innovative systems approach, we believe that BioRAM is going to have a broad-reaching impact, influencing drug development and leading to unique collaborations influencing how we learn, and leverage and share knowledge.

Indexed as

BiopharmaceuticsDrug DiscoveryPharmaceutical PreparationsTranslational Research, BiomedicalChemistry, PharmaceuticalDecision MakingHumansRisk AssessmentPharmaceutical PreparationsbioavailabilityBiopharmaceutics Classification System (BCS)Biopharmaceutics Risk Assessment Roadmap (BioRAM)clinical trial simulationsdrug deliveryin silico modelingin vitro and in vivo correlations/relationships (IVIVC/R)in vitro modelspharmokinetic/pharmacodynamic modelsquality by design (QbD)

Identifiers

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.