Evidence map›Paper›PMID 40593291›Full record

ArticleDrug safety2025

Strategies and Challenges in Coding Ambiguous Information Using MedDRA

Tahmineh Garmann, Hilde Samdal, Daniele Sartori, David Jahanlu, Fredrik Andersen, Elena Rocca

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 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.

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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

6 authors.

Tahmineh GarmannFaculty of Health Sciences, Institute for Natural Science and Health, Oslo Metropolitan University, Postboks 4, St.Olavs plass, 0130, Oslo, Norway.
Hilde SamdalNorwegian Medical Product Agency, Oslo, Norway.
Daniele SartoriUppsala Monitoring Centre, Uppsala, Sweden.ORCID http://orcid.org/0000-0003-3634-0317
David JahanluFaculty of Health Sciences, Institute for Natural Science and Health, Oslo Metropolitan University, Postboks 4, St.Olavs plass, 0130, Oslo, Norway.
Fredrik AndersenFaculty of Health, Welfare and Organization, Østfold University College, Fredrikstad, Norway.
Elena RoccaFaculty of Health Sciences, Institute for Natural Science and Health, Oslo Metropolitan University, Postboks 4, St.Olavs plass, 0130, Oslo, Norway. elena.rocca@oslomet.no.ORCID http://orcid.org/0000-0002-5222-0238

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe Medical Dictionary for Regulatory Activities (MedDRA

objectiveWe explored the reasoning and strategies employed by pharmacovigilance officers when coding selected ambiguous adverse events to MedDRA

methodsPharmacovigilance officers from the Norwegian public health sector were invited to participate in a survey-based, cross-sectional study followed by focus group interviews. The survey consisted of 11 coding tasks, with varying degrees of ambiguity, purposively sampled from the Norwegian pharmacovigilance registry. Participants selected the appropriate MedDRA

resultsIn total, 26 coders (79% of the eligible population) completed the survey. Of the survey answers, 36% were identical to the STS; answers consistent with the STS varied across the specific coding tasks and did not align with the perceived difficulty of the tasks. The most common inconsistency (30% of the survey answers) arose from substituting one of multiple MedDRA

conclusionsTailored training programs and clear institutional guidelines are needed to target the sources of coding inconsistencies suggested by this study.

Indexed as

Adverse Drug Reaction Reporting SystemsClinical CodingDrug-Related Side Effects and Adverse ReactionsPharmacovigilanceAdultCross-Sectional StudiesFemaleFocus GroupsHumansMaleNorwaySurveys and QuestionnairesTerminology as Topic

Identifiers

PMID40593291
PMCPMC12515201

What OpenQuestion holds

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Registered trials

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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.