Evidence map›Paper›PMID 31139083›Full record

ArticleFrontiers in pharmacology2019

Suspected Adverse Drug Reactions Related to Breast Cancer Chemotherapy: Disproportionality Analysis of the Brazilian Spontaneous Reporting System.

Flávia Campos Barcelos, Guacira Corrêa de Matos, Mario Jorge Sobreira da Silva, Fabrício Alves Barbosa da Silva, Elisangela da Costa Lima

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 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

5 authors.

Flávia Campos BarcelosBrazilian National Cancer Institute (INCA), Rio de Janeiro, Brazil.
Guacira Corrêa de MatosFaculty of Pharmacy, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Mario Jorge Sobreira da SilvaBrazilian National Cancer Institute (INCA), Rio de Janeiro, Brazil.
Fabrício Alves Barbosa da SilvaOswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.
Elisangela da Costa LimaFaculty of Pharmacy, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spontaneous reporting systems may generate a large volume of information in real world conditions with a relatively low cost. Disproportionality measures are useful to indicate and quantify unexpected safety issues associated with a given drug-event pair (signals of disproportionality), based upon differences compared to the background reporting frequency. This cross-sectional study (2008 to 2013) aimed to analyse the feasibility of detecting such signals in the Brazilian Pharmacovigilance Database comprising suspected adverse drug reactions related to the use of doxorubicin, cyclophosphamide, carboplatin, trastuzumab, docetaxel, and paclitaxel for breast cancer chemotherapy. We first accessed overall database features (patient information and suspected adverse drug reactions) and further conducted a disproportionality analysis based on Reporting Odds Ratios with a confidence interval of 95% in order to identify possible signals of disproportionate reporting, only among serious suspected adverse drug reactions. Of all data reports of adverse reactions (

Indexed as

adverse drug reactiondisproportionatily analysisoncologypharmacovigilancespontaneous reporting system

Identifiers

PMID31139083
PMCPMC6519311

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