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Record W2550995488 · doi:10.1080/14740338.2016.1226280

Campania preventability assessment committee: a focus on the preventability of the contrast media adverse drug reactions

2016· article· en· W2550995488 on OpenAlexfundno aff
Maurizio Sessa, Cláudia Rossi, Concetta Rafaniello, Annamaria Mascolo, Daniela Cimmaruta, Cristina Scavone, Sonia Fiorentino, Enrico Grassi, Alfonso Reginelli, Antonio Rotondò, Liberata Sportiello

Bibliographic record

VenueExpert Opinion on Drug Safety · 2016
Typearticle
Languageen
FieldMedicine
TopicAcute Kidney Injury Research
Canadian institutionsnot available
FundersAgenzia Italiana del Farmaco, Ministero della SalutePartenariat Canadien Contre Le CancerSeconda Università degli Studi di NapoliWorld Health Organization
KeywordsMedicineDrugDrug reactionAdverse effectContrast (vision)Intensive care medicinePharmacology

Abstract

fetched live from OpenAlex

OBJECTIVE: The current study aims to assess the preventability of the contrast media adverse drug reactions reported through the Campania spontaneous reporting system, identifying the possible limitations emerged in this type of evaluation. METHOD: All the individual case safety reports validated by the Campania Pharmacovigilance Regional Centre from July 2012 to September 2015 were screened to select those that reported contrast media as suspected drug. Campania Preventability Assessment Committee, in collaboration with clinicians specialized in Radiology, assessed the preventability according to the P-Method, through a case-by-case approach. RESULTS: From July 2012 to September 2015, 13798 cases were inserted by pharmacovigilance managers in the Italian Pharmacovigilance Network database (in the geographical contest of the Campania Region), of which 67 reported contrast media as suspected drug. Five preventable cases were found. The most reported causes for preventability were the inappropriate drug use for the case clinical conditions and the absence of the preventive measure administrated prior to the contrast media administration. Several limitations were found in the evaluation of the critical criteria for the preventability assessment. CONCLUSIONS: Educational initiatives will be organized directly to the healthcare professionals involved in the contrast media administration, to promote an appropriate use of the contrast media.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.607
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.348
Teacher spread0.319 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations22
Published2016
Admission routes1
Has abstractyes

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