Evidence map›Paper›PMID 40549278›Full record

ArticleEuropean journal of epidemiology2025

A population-based cohort to evaluate drug safety during pregnancy (PREGVAL): rationale, design, and baseline characteristics.

Francisco Sánchez-Sáez, Gabriel Sanfélix-Gimeno, Isabel Hurtado, Aníbal García-Sempere, María Garcés-Sánchez, Fran Llopis-Cardona, Salvador Peiró, Clara L Rodríguez-Bernal

Abstract read
In one paragraph

Article in European journal of epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Francisco Sánchez-SáezHealth Services Research and Pharmacoepidemiology Unit, FISABIO, Valencia, Spain.ORCID http://orcid.org/0000-0002-3011-9884
Gabriel Sanfélix-GimenoHealth Services Research and Pharmacoepidemiology Unit, FISABIO, Valencia, Spain.ORCID http://orcid.org/0000-0001-7098-4576
Isabel HurtadoHealth Services Research and Pharmacoepidemiology Unit, FISABIO, Valencia, Spain.ORCID http://orcid.org/0000-0002-8475-8112
Aníbal García-SempereHealth Services Research and Pharmacoepidemiology Unit, FISABIO, Valencia, Spain.ORCID http://orcid.org/0000-0002-4313-3976
María Garcés-SánchezDirección General de Salud Pública. Generalitat Valenciana [General Directorate of Public Health of the Valencian Community, Spain], Valencia, Spain.ORCID http://orcid.org/0000-0002-5838-9333
Fran Llopis-CardonaHealth Services Research and Pharmacoepidemiology Unit, FISABIO, Valencia, Spain.ORCID http://orcid.org/0000-0002-9045-1651
Salvador PeiróHealth Services Research and Pharmacoepidemiology Unit, FISABIO, Valencia, Spain.ORCID http://orcid.org/0000-0002-3902-569X
Clara L Rodríguez-BernalHealth Services Research and Pharmacoepidemiology Unit, FISABIO, Valencia, Spain. clara.rodriguez@fisabio.es.ORCID http://orcid.org/0000-0003-2617-8635

Funding

Instituto de Salud Carlos III RD21/0016/0006, co-funded by European Union-ERDFMinisterio de Universidades PID2021-128519OB-100
6 · The paper itself

Abstract

The main aim of the PREGVAL cohort is to evaluate and monitor the in-utero safety of medication administered to pregnant women, as usually this population is excluded from clinical trials assessing drugs. It is a population-based cohort, comprised by pregnant women and their offspring in the Valencia Region (Spain), between July 1st 2009 and December 31st 2021, which will be followed from 6 months pre-conception until death, loss of coverage or end of study, with over 520.000 pregnancies for the study period. The data source will be the Valencia Integrated Database (VID), which links records at the individual level using a unique personal identification code, with exhaustive data on comorbidities (diabetes, hypertension, etc.) and other clinical variables, sociodemographic variables (age, socio-economic status, risk of social exclusion) and other potential confounders (smoking, alcohol intake). It also provides accurate data on timing of exposure for most livebirths and all of the stillbirths occurred in the region, and partially for spontaneous abortions and elective terminations (due to the availability of gestational age by ultrasound or last menstrual period for these outcomes allowing the calculation of the date of conception) and allows the identification of medications prescription and dispensation data with a very high detail, avoiding the problem of potential exposure misclassification present in many of the existent registries/cohorts. Regarding outcomes, there is exhaustive and accurate data on pregnancy complications, spontaneous abortions, terminations (in this case, those occurred within the public health system), birth weight, preterm birth, congenital anomalies, and perinatal mortality; as well as the availability of post-natal long-term follow-up. These features make the PREGVAL study one of the largest and most exhaustive cohorts to assess real-world in-utero safety of medications to date.

Indexed as

Drug-Related Side Effects and Adverse ReactionsPregnancy ComplicationsAdultCohort StudiesFemaleHumansPregnancyPregnancy OutcomeResearch DesignSpainCohort profileDrug safetyOutcomesPerinatal pharmacoepidemiologyPregnancyReal-world dataVID

Identifiers

PMID40549278
PMCPMC12304015

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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.