Evidence map›Paper›PMID 34012054›Full record

ReviewJournal of perinatology : official journal of the California Perinatal Association2022

Do small baby units improve extremely premature infant outcomes?

Joseph W Kaempf, Kanekal Gautham

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of perinatology : official journal of the California Perinatal Association, 2022. 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. It's the little things. A framework and guidance for programs to care for infants 22-23 weeks' gestational age.Journal of perinatology : official journal of the California Perinatal Association · 2025
    Review
  2. 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

2 authors.

Joseph W KaempfProvidence Health System, Women and Children's Services, Providence St. Vincent Medical Center, 9205 SW Barnes Road, Portland, OR, 97225, USA. joseph.kaempf@providence.org.ORCID 0000-0002-2160-8352
Kanekal GauthamBaylor College of Medicine, Texas Children's Hospital, 6621 Fannin St, Suite W6104, Houston, TX, 77030, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing numbers of neonatal intensive care units have formed small baby units or small baby teams with the intention to optimize care of extremely premature infants. Considerable time, energy, and resources are required to develop and sustain complex quality improvement constructs, so legitimate questions about effectiveness, unintended consequences, and lost opportunity costs warrant scrutiny. The small baby unit literature is diminutive. Errors of chance, bias, and confounding secondary to insufficient definitions of process and outcome metrics, overlapping quality improvement projects, and limited cost analyses restrict firm conclusions. Well-established quality improvement methodologies such as evidence-based guidelines, standardized variability reduction using measurement-and-adjust techniques, family-integrated focus, and developmentally sensitive care, reliably improve outcomes for all-sized premature infants. There is not compelling published evidence that adding specialized small baby units or designated teams for extremely premature infants further enhances short- or long-term health if robust quality improvement fundamentals are already imbedded within local culture.

Indexed as

Infant, Extremely PrematureInfant, Premature, DiseasesHumansInfantInfant, NewbornInfant, Small for Gestational AgeIntensive Care Units, NeonatalQuality Improvement

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.