Evidence map›Paper›PMID 40075033›Full record

ArticleDrug safety2025

Navigating Diverging Perspectives: Reasoning, Evidence, and Decision-Making in Drug Safety.

Tarek A Hammad, Simon Davies

Abstract read
In one paragraph

Article in Drug safety, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
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

2 authors.

Tarek A HammadTakeda Development Center Americas, Inc., Cambridge, MA, USA. tarek.hammad@takeda.com.ORCID http://orcid.org/0000-0001-8229-4716
Simon DaviesTakeda Development Center Americas, Inc., Cambridge, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Decision making in drug safety is a complex and iterative process that requires the integration of diverse evidence sources, scientific reasoning, and clinical judgment. Diverging opinions among stakeholders-including pharmacovigilance professionals, regulatory authorities, clinical researchers, statisticians, and epidemiologists-often stem from differences in data interpretation, methodological approaches, and thresholds for concern or action. This paper examines the key sources of these divergences and presents a structured framework to enhance alignment in drug safety decision making. The proposed framework outlines three core dimensions: evidence assessment, interpretation, and action. It distinguishes between quantitative aspects, such as effect magnitude and measurement error, and qualitative considerations, including contextual interpretation and risk thresholds. The framework also underscores the importance of multidisciplinary collaboration, as safety professionals must actively engage with other scientific and regulatory stakeholders to ensure a comprehensive evaluation of the evidence. A fundamental challenge in pharmacovigilance is the need to communicate the complexities of drug safety assessment to a broader audience, including those who may not be familiar with the nuances of safety decision making. This paper aims to serve not only as a resource for new pharmacovigilance professionals, but also as a tool to facilitate clearer communication between disciplines. By adopting a structured approach and fostering open dialogue, drug safety professionals can enhance transparency and improve regulatory and clinical decision-making processes.

Indexed as

Decision MakingDrug-Related Side Effects and Adverse ReactionsPharmacovigilanceAdverse Drug Reaction Reporting SystemsHumans

Identifiers

PMID40075033
PMCPMC12098510

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.