Evidence map›Paper›PMID 34248644›Full record

ArticleFrontiers in pharmacology2021

The Italian Network for Monitoring Medication Use During Pregnancy (MoM-Net): Experience and Perspectives.

Valeria Belleudi, Filomena Fortinguerra, Francesca R Poggi, Serena Perna, Renata Bortolus, Serena Donati, Antonio Clavenna, Anna Locatelli, Marina Davoli, Antonio Addis and 1 more

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Antidiabetic Therapy during Pregnancy: The Prescription Pattern in Italy.International journal of environmental research and public health · 2023
    Article
  7. Review
  8. Article
  9. 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

11 authors.

Valeria BelleudiDepartment of Epidemiology, Lazio Regional Health Service, Rome, Italy.
Filomena FortinguerraItalian Medicines Agency (AIFA), Rome, Italy.
Francesca R PoggiDepartment of Epidemiology, Lazio Regional Health Service, Rome, Italy.
Serena PernaItalian Medicines Agency (AIFA), Rome, Italy.
Renata BortolusDirectorate General for Preventive Health - Office 9, Ministry of Health, Rome, Italy.
Serena DonatiNational Centre for Disease Prevention and Health Promotion, Istituto Superiore di Sanità - Italian National Institute of Health, Rome, Italy.
Antonio ClavennaLaboratory for Mother and Child Health, Department of Public Health - Istituto di Ricerche Farmacologiche Mario Negri IRCSS, Milan, Italy.
Anna LocatelliDepartment of Obstetrics and Gynecology, University of Milano-Bicocca, Monza, Italy.
Marina DavoliDepartment of Epidemiology, Lazio Regional Health Service, Rome, Italy.
Antonio AddisDepartment of Epidemiology, Lazio Regional Health Service, Rome, Italy.
Francesco TrottaItalian Medicines Agency (AIFA), Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an acute need for research to acquire high-quality information on the use of medicines in pregnancy, both in terms of appropriateness and safety. For this purpose, the Italian Medicines Agency established a Network for Monitoring Medication use in pregnancy (MoM-Net) through the conduction of population-based studies using administrative data available at regional level. This paper aimed to describe the experiences and challenges within the network. MoM-Net currently involves eight regions and several experts from public and academic institutions. The first study conducted aimed to identify drug use before, during and after pregnancy investigating specific therapeutic categories, analysing regional variability and monitoring drug use in specific subpopulations (i.e. foreign women/multiple pregnancies). Aggregated demographic, clinical, and prescription data were analysed using a distributed network approach based on common data model. The study population included all women delivering during 2016-2018 in the participating regions (

Indexed as

appropriatenessmedication usemonitoringnetworkpregnancy

Identifiers

PMID34248644
PMCPMC8262612

What OpenQuestion holds

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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.