Evidence map›Paper›PMID 36209471›Full record

ArticleBJOG : an international journal of obstetrics and gynaecology2022

Pregnancy outcomes in Italy during COVID-19 pandemic: a population-based cohort study.

Franca Rusconi, Monia Puglia, Martina Pacifici, Sonia Brescianini, Luigi Gagliardi, Anna Maria Nannavecchia, Pietro Buono, Sara Cantoira, Sara Farchi, Michele Gobbato and 7 more

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Article in BJOG : an international journal of obstetrics and gynaecology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
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  10. Pregnancy outcomes in Italy during COVID-19 pandemic: a population-based cohort study.BJOG : an international journal of obstetrics and gynaecology · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 13 institutions in 3 countries.

Franca RusconiDepartment of Mother and Child Health, Azienda USL, Toscana Nord Ovest, Pisa, Italy.ORCID https://orcid.org/0000-0002-9544-6472
Monia PugliaUnit of Epidemiology, Regional Health Agency of Tuscany, Florence, Italy.
Martina PacificiUnit of Epidemiology, Regional Health Agency of Tuscany, Florence, Italy.
Sonia BrescianiniCenter for Behavioral Sciences and Mental Health, Istituto Superiore di Sanità, Rome.
Luigi GagliardiDepartment of Mother and Child Health, Azienda USL, Toscana Nord Ovest, Pisa, Italy.
Anna Maria NannavecchiaDepartment of Epidemiology and Care Intelligence, Regional Agency for Health and Social Affair of Puglia, Bari, Italy.
Pietro BuonoDepartment of Maternal and Child Health, General Directorate for Health, Campania Region, Naples, Italy.
Sara CantoiraDepartment of Public Health and Pediatric Sciences, University of Turin, Turin, Italy.
Sara FarchiArea rete ospedaliera, Lazio Regional Authority, Rome, Italy.
Michele GobbatoPianificazione, Programmazione e Controllo Direzionale, Azienda Regionale di Coordinamento della Salute, Udine, Italy.
Edda PellegriniWelfare General Directorate, Lombardy Region, Milan, Italy.
Enrica PerroneUnit of Primary Care, Regional Health Authority of Emilia-Romagna, Bologna, Italy.
Riccardo PertileDepartment of Clinical and Evaluative Epidemiology, Health Service of Trento, Italy.
Elisa Eleonora TavorminaInstitute for Biomedical Research and Innovation, National Research Council, Palermo, Italy.
Laura Visonà Dalla PozzaBirth Registry, Coordinating Center for Rare Diseases, Veneto Region, Padua, Italy.
Francesca ZambriNational Centre for Diseases Prevention and Health Promotion, Istituto Superiore di Sanità, Rome.
AIE Perinatal Health Working Group
Agenzia Regionale per la Protezione Ambientale del Piemonte · ITAzienda Usl Toscana Centro · ITIstituto Superiore di Sanità · ITRegional Health · USAgenzia Regionale Parchi · ITAgenzia Regionale Sanitaria della Puglia · ITAssociazione Italiana Di Oncologia Medica · ITConsorzio per la Ricerca Sanitaria · ITDirectorate of Health · ISMinistero della Salute · ITOspedale Santa Maria della Misericordia di Udine · ITProvincia Autonoma di Trento · ITUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare the estimates of preterm birth (PTB; 22-36 weeks gestational age, GA) and stillbirth rates during COVID-19 pandemic in Italy with those recorded in the three previous years.

designA population-based cohort study of liveborn and stillborn infants was conducted using data from Regional Health Systems and comparing the pandemic period (March 1

methodsPoisson regressions were run in each Region and meta-analyses were performed centrally. We used an interrupted time series regression analysis to study the trend of preterm births from 2017 to 2021.

main outcome measuresThe primary outcomes were PTB and stillbirths. Secondary outcomes were late PTB (32-36 weeks' GA), very PTB (<32 weeks' GA), and extremely PTB (<28 weeks' GA), overall and stratified into singleton and multiples.

resultsThe pandemic period compared with the historical one was associated with a reduced risk for PTB (Risk Ratio: 0.91; 95% Confidence Interval, CI: 0.88, 0.93), late PTB (0.91; 0.88, 0.94), very PTB (0.88; 0.84, 0.91), and extremely PTB (0.88; 0.82, 0.95). In multiples, point estimates were not very different, but had wider CIs. No association was found for stillbirths (1.01; 0.90, 1.13). A linear decreasing trend in PTB rate was present in the historical period, with a further reduction after the lockdown.

conclusionsWe demonstrated a decrease in PTB rate after the introduction of COVID-19 restriction measures, without an increase in stillbirths.

Identifiers

PMID36209471
PMCPMC9874775
OpenAlexW4303858886

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.