ArticleNeonatology2020
Managing Preterm Infants Born to COVID-19 Mothers: Evidence from a Retrospective Cohort Study in Wuhan, China.
Article in Neonatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed, 14 citations in OpenAlex.
- Trimester of maternal SARS-CoV-2 infection differentially predicts newborn size in the COVID-19 Mother Baby Outcomes (COMBO) cohort.Pediatric research · 2026Article
- Risks and Preventions for Pregnant Women and Their Preterm Infants in a World with COVID-19: A Narrative Review.Vaccines · 2023Review
- A meta-analysis for the risk and prevalence of preeclampsia among pregnant women with COVID-19Turkish journal of obstetrics and gynecology · 2021Article
- Meta-analysis of the frequency of intrauterine growth restriction and preterm premature rupture of the membranes in pregnant women with COVID-19Turkish journal of obstetrics and gynecology · 2021Article
- Clinical Characteristics of Newborns Born to Mothers with COVID-19.Journal of clinical medicine · 2021Article
- Review
- SARS-CoV-2-Morphology, Transmission and Diagnosis during Pandemic, Review with Element of Meta-Analysis.Journal of clinical medicine · 2021Review
- A Comprehensive Analysis of Maternal and Newborn Disease and Related Control for COVID-19.SN comprehensive clinical medicine · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCOVID-19 has spread rapidly over the world. Little is known about the outcomes of infections in pregnant women. The management and characteristics of preterm infants born to COVID-19 mothers need to be clarified.
methodsIn this retrospective, single-center cohort study, we describe the clinical courses of 6 preterm infants born to COVID-19 mothers, the management protocol, and related outcomes.
resultsSix preterm infants were admitted to Tongji Hospital between January 23 and March 19, 2020. Gestational age ranged from 28+5 to 36+3 weeks. One late preterm infant was delivered early due to maternal dyspnea from COVID-19. Five infants were delivered by Caesarean section. None had perinatal asphyxia. Two infants required respiratory support due to respiratory distress syndrome and apnea of prematurity. All infants did not develop severe complications of prematurity and are negative for severe acute respiratory syndrome (SARS)-CoV-2 nucleic acid testing.
conclusionWith an expedited and adequate delivery protocol, less invasive treatment principle, and active infection precautious, we found a limited impact of COVID-19 mothers on preterm delivery and neonatal short-term outcomes. The risk of vertical transmission of SARS-CoV-2 is low in preterm infants born to COVID-19 mothers if appropriate management is implemented.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.