2023
DOI: 10.1016/j.earlhumdev.2023.105880
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Outcomes in very preterm infants receiving an exclusive human milk diet, or their own mother's milk supplemented with preterm formula

Mohammad Chehrazi,
Julia Lanoue,
Kayleigh Ougham
et al.
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Cited by 6 publications
(3 citation statements)
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“…Her own analysis study from UK population data 6 , which she relies on heavily for this assumption, has been criticized by other authors for concerns about the integrity of the data and the methods of analysis. 7 Although the jury is still out on the neurodevelopmental outcomes between infants fed DHM versus formula feeds there is considerable evidence that feeding preterm infants with DHM is associated with a decreased risk of NEC, most evident when data are meta-analyzed or systematically reviewed. [8][9][10][11][12] Additionally, a recently published RCT of a study conducted in the US (the MILK trial) has confirmed this evidence.…”
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confidence: 99%
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“…Her own analysis study from UK population data 6 , which she relies on heavily for this assumption, has been criticized by other authors for concerns about the integrity of the data and the methods of analysis. 7 Although the jury is still out on the neurodevelopmental outcomes between infants fed DHM versus formula feeds there is considerable evidence that feeding preterm infants with DHM is associated with a decreased risk of NEC, most evident when data are meta-analyzed or systematically reviewed. [8][9][10][11][12] Additionally, a recently published RCT of a study conducted in the US (the MILK trial) has confirmed this evidence.…”
mentioning
confidence: 99%
“…Italian Association of Donated Human Milk Banks (AIBLUD); Biomedia, Via Libero Temolo No 4, 20126 Milan, Italy 6. National Human Milk Bank, Department of Neonatology, Lady Hardinge Medical College & Kalawati Saran Children's Hospital, New Delhi 110001, India 7. Department of Neonatology, Hôpital de la Croix-Rousse, Hospices civils de Lyon, and Head of French Human Milk Bank Association, Lyon, France 8.…”
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confidence: 99%
“…Analyses based on large numbers will often produce statistically significant results, which may be meaningless in practice, or even misleading. When unexpected or highly improbable results are obtained, verifying the veracity of the underlying data should be the first priority [29,30]. Because plausible results may be derived from erroneous data, plausibility is an insufficient criterion for data quality.…”
Section: Data Quality Considerationsmentioning
confidence: 99%