Evidence map›Paper›PMID 37921394›Full record

ArticleRevista espanola de salud publica2023

[Indicadores de salud perinatal en una región española entre los años 2015 y 2020.]

Juan Arnáez, Carlos Ochoa-Sangrador, Sonia Caserío, Elena Pilar Gutiérrez, Leticia Castañón, Marta Benito, María Del Pilar Jiménez, Ana Peña, Natalio Hernández, Miryam Hortelano and 4 more

Open access · greenAbstract readEnglish Abstract
In one paragraph

Article in Revista espanola de salud publica, 2023. 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, 0 citations in OpenAlex.

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

14 authors at 11 institutions in 2 countries.

Juan ArnáezUnidad de Neonatología; Complejo Asistencial Universitario de Burgos. Burgos. España.
Carlos Ochoa-SangradorDepartamento de Pediatría; Complejo Asistencial de Zamora. Zamora. España.
Sonia CaseríoDepartamento de Pediatría (Neonatología); Hospital Universitario Rio Hortega de Valladolid. Valladolid. España.
Elena Pilar GutiérrezDepartamento de Pediatría (Neonatología); Complejo Asistencial Universitario de Salamanca. Salamanca. España.
Leticia CastañónDepartamento de Pediatría (Neonatología); Complejo Asistencial Universitario de León. León. España.
Marta BenitoDepartamento de Pediatría (Neonatología); Hospital Clínico Universitario de Valladolid. Valladolid. España.
María Del Pilar JiménezDepartamento de Pediatría (Neonatología); Complejo Asistencial de Ávila. Ávila. España.
Ana PeñaDepartamento de Pediatría; Complejo Asistencial de Soria. Soria. España.
Natalio HernándezDepartamento de Pediatría (Neonatología); Complejo Asistencial de Zamora. Zamora. España.
Miryam HortelanoDepartamento de Pediatría (Neonatología); Complejo Asistencial de Segovia. Segovia. España.
M Teresa PradaDepartamento de Pediatría; Hospital El Bierzo. Ponferrada. España.
Susana SchuffelmannDepartamento de Pediatría; Hospital Santos Reyes. Aranda de Duero. España.
Pablo D GayteDepartamento de Pediatría; Hospital Santiago Apóstol. Miranda de Ebro. España.
F Joaquín VillagómezDepartamento de Pediatría; Complejo Asistencial de Palencia. Palencia. España.
Complejo Asistencial Universitario de Palencia · ESHospital Virgen de la Concha · ESCatholic University of Ávila · ESComplejo Hospitalario de Salamanca · ESHospital Clínico Universitario de Valladolid · ESHospital El Bierzo · ESHospital General De Segovia · ESHospital Santiago Apostol · ESHospital Universitario de Burgos · ESHospital Universitario Río Hortega · ESHospital Universitari Sant Joan de Reus · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe availability in the literature of data related to perinatal variables in the Spanish population is very scarce. The aim of this study was to know the evolution of perinatal health indicators according to the risk groups of prematurity and birth weight, the proportion of multiple births, caesarean section and stillbirths.

methodsWe conducted a population-based cross-sectional study of births in eleven hospitals in Castilla y León (January 2015 to June 2020). There were 70,024 newborns from 68,769 deliveries. Jointpoint regression analysis was used to identify changes in trend over the years, and binomial logistic regression was used to adjust for the potential interaction of hospital type, sex, type of delivery and multiple births on the frequencies of prematurity and death.

resultsThere was a 19.9% decrease in deliveries and a 42% decrease in multiple births, with no change in preterm (7.7%) and stillbirths (0.44%). The percentage of caesarean sections was 21.5% with a slight downward trend over time. Death (stillbirth) was associated with preterm multiple birth; especially with the male-male combination (p<0.05). Late preterm and early term newborns showed higher risk of death compared to term newborns: OR 7.7 (95%CI 5.6-10.7) and 2.4 (95%CI 1.6-3.6), respectively; as well as the low birth weight group (OR 17.6; 95%CI 13.9-22.2) and small for gestational age (OR 3.4; 95%CI 1.9-5.8), compared to those of adequate weight.

conclusionsPrior to the development of the COVID-19 pandemic there is a decline in births, including multiple births, with no change in stillbirths or prematurity. Late preterm and early term newborns are at increased risk of intrauterine death.

Indexed as

Cesarean SectionStillbirthCross-Sectional StudiesFemaleHumansInfant, NewbornMalePandemicsPregnancySpainBirthEpidemiologyPrematuritySpainStillbirth

Identifiers

PMID37921394
PMCPMC11567660
OpenAlexW4388302571

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.