Evidence map›Paper›PMID 41373999›Full record

Observational studyNutrients2025

Exclusive Breastfeeding Rates at Hospital Discharge Across the Robson Ten-Group Classification System: A Retrospective Study.

Rafael Vila-Candel, Anna Martin-Arribas, Joaquín Mateu-Mollá, Fatima Leon-Larios, Desirée Mena-Tudela

Abstract readObservational Study
In one paragraph

Observational study in Nutrients, 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

5 authors.

Rafael Vila-CandelLa Ribera Health Department, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), 46020 Valencia, Spain.ORCID 0000-0002-3734-2480
Anna Martin-ArribasSchool of Health Sciences Blanquerna, Universitat Ramon Llull, Carrer Padilla 326, 08025 Barcelona, Spain.ORCID 0000-0001-9679-595X
Joaquín Mateu-MolláFaculty of Health Sciences, Valencian International University (VIU), Pintor Sorolla 2, 46002 Valencia, Spain.
Fatima Leon-LariosNursing Department, Faculty of Nursing, Physiotherapy and Podiatry, University of Seville, Avenzoar, 6, 41009 Seville, Spain.ORCID 0000-0001-9475-0440
Desirée Mena-TudelaNursing Department, Faculty of Health Sciences, Feminist Institute, Universitat Jaume I, Avda. Sos I Baynat s/n, 12071 Castellón, Spain.ORCID 0000-0003-1596-3064

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: While the Robson Ten-Group Classification System (RTGCS) is widely used to assess and monitor caesarean section rates, its association with exclusive breastfeeding (EBF) outcomes at hospital discharge remains insufficiently explored. This study aimed to examine differences in EBF rates at hospital discharge across RTGCS groups among births attended at Hospital Universitario de la Ribera (Spain). (2) Methods: This retrospective observational study was conducted at a public hospital between 1 January 2010 and 31 December 2023. EBF at hospital discharge was analysed across Robson groups. Sociodemographic, obstetric, and neonatal variables were collected. A binomial logistic regression model was developed to identify predictors of EBF at discharge. Model fit was assessed using the Hosmer-Lemeshow goodness-of-fit test and Nagelkerke's R

Indexed as

Breast FeedingCesarean SectionPatient DischargeAdultFemaleHumansInfant, NewbornLogistic ModelsPregnancyRetrospective StudiesSpaincaesarean sectioncross-sectional studyexclusive breastfeedingperinatal outcomesrobson classification

Identifiers

PMID41373999
PMCPMC12694462

What OpenQuestion holds

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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.