Evidence map›Paper›PMID 38705950›Full record

Trial reportJournal of perinatology : official journal of the California Perinatal Association2024

Biomarker-based text messages to promote lactation success in mothers of critically Ill infants: a randomized controlled pilot study.

Leslie A Parker, Deepthi Varma, Marion M Bendixen, Sandra Sullivan, Nicole Cacho, Mueller Martina

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Journal of perinatology : official journal of the California Perinatal Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Once- Versus Twice-Daily Measures of Mothers' Own Milk Biomarkers: Does It Make a Difference in Research and Practice?Breastfeeding medicine : the official journal of the Academy of Breastfeeding Medicine · 2025
    Article
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

6 authors.

Leslie A ParkerUniversity of Florida, Gainesville, USA. parkela@ufl.edu.ORCID 0000-0001-8787-7945
Deepthi VarmaUniversity of Florida, Gainesville, USA.
Marion M BendixenUniversity of Florida, Gainesville, USA.ORCID 0000-0002-6954-9363
Sandra SullivanUniversity of Florida, Gainesville, USA.
Nicole CachoUniversity of Florida, Gainesville, USA.ORCID 0000-0002-3269-9122
Mueller MartinaMedical University of South Carolina, Charleston, USA.ORCID 0000-0003-2041-5142

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveInfrequent breast pumping limits mother's own milk production in mothers of infants admitted to the neonatal intensive care unit. We aimed to determine the feasibility and benefit of biomarker-based personalized text messages on pumping frequency and milk sodium levels. A secondary aim examined lactation outcomes. STUDY

designIn this randomized controlled pilot study, 51 mothers were randomized to receive personalized text messages regarding pumping frequency or standard care.

resultsThere were no differences in pumped milk volume or sodium level, however, there was a trend towards the intervention group pumping more frequently, which was significant on day 5 (p = 0.035), and they lactated nearly 9 days longer. Post-hoc analysis found the intervention group tended to be more likely to pump ≥ 500 mL by day14 (p = 0.08), a marker of long-term lactation success.

conclusionPersonalized biomarker-based text messages are feasible and may support lactation in mothers of critically ill infants.

Indexed as

BiomarkersBreast Milk ExpressionCritical IllnessIntensive Care Units, NeonatalLactationText MessagingAdultBreast FeedingFemaleHumansInfant, NewbornMilk, HumanMothersPilot ProjectsBiomarkers

Identifiers

What OpenQuestion holds

Textmetadata
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.