Evidence map›Paper›PMID 32855508›Full record

ReviewPediatric research2020

Strategies to increase the use of mother's own milk for infants at risk of necrotizing enterocolitis.

Aloka L Patel, Paula P Meier, Jennifer Canvasser

Abstract readReview
PubMed Publisher
In one paragraph

Review in Pediatric research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
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

7 citing papers in PubMed, 19 citations in OpenAlex.

  1. Observational
  2. The fifty billion dollar question: does formula cause necrotizing enterocolitis?Journal of perinatology : official journal of the California Perinatal Association · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. [Clinical guidelines for the diagnosis and treatment of neonatal necrotizing enterocolitis (2020)].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2021
    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

3 authors at 2 institutions in 1 country.

Aloka L PatelDepartment of Pediatrics, Rush University Children's Hospital, Chicago, IL, USA. Aloka_Patel@Rush.edu.
Paula P MeierDepartment of Women, Children, and Family Nursing, Rush University College of Nursing, Chicago, IL, USA.
Jennifer CanvasserNecrotizing Enterocolitis (NEC) Society, Davis, CA, USA.
Rush Children's Hospital · USRush University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-dose mother's own milk (MOM) feedings during the first 14 days post birth reduce the risk of necrotizing enterocolitis in very low birthweight (VLBW; <1500 g birthweight). However, high-dose MOM feedings are only possible if mothers provide sufficient quantities of MOM in a timely manner, and data indicate that the lack of MOM during the early post-birth period is a global problem. This paper reviews the modifiable and unmodifiable barriers to accessing adequate quantities of MOM during the early post-birth period and proposes evidence-based strategies to increase and improve the use of MOM during the neonatal intensive care unit (NICU) hospitalization with an emphasis on the critical first 2 weeks post birth.

Indexed as

Milk, HumanBreast FeedingEnterocolitis, NecrotizingEvidence-Based MedicineHealthcare DisparitiesHealth Services AccessibilityHealth Status DisparitiesHumansInfant, NewbornInfant, Newborn, DiseasesInfant Nutritional Physiological PhenomenaInfant, PrematureInfant, Very Low Birth WeightIntensive Care, NeonatalIntensive Care Units, NeonatalMothers

Identifiers

PMID32855508
OpenAlexW3082666473

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.