Evidence map›Paper›PMID 42744882›Full record

ArticleJournal of perinatology : official journal of the California Perinatal Association2026

Timing and intensity of lactation support influences NICU discharge on maternal milk.

Chloe Salzmann, Evan Cross, Ke Yan, Jian Zhang, Erwin Cabacungan, T Hang Nghiem-Rao, Alicia Sprecher

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Article in Journal of perinatology : official journal of the California Perinatal Association, 2026. 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
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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

7 authors.

Chloe SalzmannDivision of Neonatology, Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI, USA.
Evan CrossDivision of Neonatology, Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI, USA.
Ke YanDivision of Quantitative Health Science, Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI, USA.ORCID http://orcid.org/0000-0001-6599-4622
Jian ZhangDivision of Quantitative Health Science, Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI, USA.ORCID http://orcid.org/0000-0002-6741-0368
Erwin CabacunganDivision of Neonatology, Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI, USA.
T Hang Nghiem-RaoDivision of Neonatology, Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI, USA.ORCID http://orcid.org/0009-0009-6241-2207
Alicia SprecherDivision of Neonatology, Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI, USA. asprecher@mcw.edu.ORCID http://orcid.org/0009-0001-8525-9200

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe evaluated maternal and infant factors that influence lactation success within the neonatal intensive care unit (NICU) and the impact of early lactation support. STUDY

designThis was a retrospective cohort study of 862 maternal-infant dyads admitted to the NICU. The relationship between lactation support and discharge home receiving mother's own milk (MOM) was examined after adjusting for demographic and clinical covariates.

resultInfants whose mothers who had 4-6 lactation visits within the first 14 days were 8.93 times more likely to discharge receiving MOM (95% CI 4.86-16.40, P < 0.05). Infants born to mothers who were White, primiparous, partnered, had private insurance, and with higher household incomes were more likely to discharge receiving MOM.

conclusionAt least 4 lactation visits within the first 2 weeks postpartum increases the likelihood of infant discharge on MOM. Hospitals should provide adequate access to lactation consultants to account for this need.

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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.