Evidence map›Paper›PMID 40542232›Full record

ArticleTherapeutic innovation & regulatory science2025

Tracking a Medicine's Regulatory Risk Management Commitments Provides Better Transparency and Oversight.

Simon Ingate, Kate Bendall, Christopher Long, Kevin Fetterman, Marie Liles-Burden, Carmit Strauss

Abstract read
In one paragraph

Article in Therapeutic innovation & regulatory science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Simon IngateAxian Consulting Limited, The Bradfield Centre, 184 Cambridge Science Park, Cambridge, CB2 0GA, UK. singate@axian.consulting.
Kate BendallAxian Consulting Limited, The Bradfield Centre, 184 Cambridge Science Park, Cambridge, CB2 0GA, UK.
Christopher LongFeith Systems, 425 Maryland Drive, Fort Washington, PA, 19034, USA.
Kevin FettermanFeith Systems, 425 Maryland Drive, Fort Washington, PA, 19034, USA.
Marie Liles-BurdenTakeda Development Center Americas Inc, 500 Kendall Street, Cambridge, MA, 02142, USA.
Carmit StraussTakeda Development Center Americas Inc, 500 Kendall Street, Cambridge, MA, 02142, USA.

Funding

None N/a
6 · The paper itself

Abstract

Pharmaceutical companies are required to provide Risk Management Plans (RMPs) to support the marketing authorisation of medicines. These RMPs contain information on efficacy and safety, outline risks or gaps in information, and detail commitments for post-authorisation pharmacovigilance (PV) studies. These plans aim to enhance understanding of a drug's benefit-risk profile and information on risk mitigation and labelling strategies to ensure end-users are aware of the risks that are associated with the product. Per defined health authorities trigger, RMPs are updated with new data such as post-authorisation data and expanded product labels (new indications), leading to multiple versions. When specific risks require additional mitigation beyond product labelling, additional risk minimisation materials (aRMMs) may be applied to educate healthcare professionals (HCPs) and patients. In some cases, more stringent controls on drug use may be necessary. In all cases, these risk management commitments must be implemented in applicable countries where the medicine is marketed following local regulatory requirements. Implementing aRMMs necessitates the distribution of core or EU RMPs and aRMMs to local affiliates for localisation, approval by local health authorities, dissemination, and subsequent collection of effectiveness metrics. Managing multiple versions of core and local RMPs, aRMMs, and associated activities becomes a vital data management issue, requiring efficient tracking of the status of each document and locally agreed activities. This article explores developing and deploying a database-driven RMP and aRMM tracking system. It covers the determination of system requirements, the delivery of the system, and the assessment of its impact on the organisation.

Indexed as

Drug IndustryPharmacovigilanceRisk ManagementDrug LabelingHumansAdditional risk minimisation measuresRisk management commitmentsRisk minimisationTracking

Identifiers

PMID40542232
PMCPMC12446136

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.