Evidence map›Paper›PMID 36104499›Full record

ArticleJournal of perinatology : official journal of the California Perinatal Association2022

Hospital variation in extremely preterm birth.

Gregory P Goldstein, Peiyi Kan, Ciaran S Phibbs, Elliott Main, Gary M Shaw, Henry C Lee

Abstract read
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In one paragraph

Article 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. Not yet cited in PubMed.

0numbers the graph read from it
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0citing 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

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

6 authors.

Gregory P GoldsteinDivision of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA. gpgold@stanford.edu.ORCID 0000-0002-0347-7379
Peiyi KanDivision of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Ciaran S PhibbsDivision of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-4353-3507
Elliott MainDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA, USA.
Gary M Shaw *Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Henry C Lee *Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0001-8383-1720

Funding

Improving outcomes of periviable births via an enhanced prediction toolR01HD098287 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LEE, HENRY CHONG · 2020 to 2024
$1.7M
NICHD NIH HHS R01HD098287
6 · The paper itself

Abstract

objectiveGiven that regionalization of extremely preterm births (EPTBs) is associated with improved infant outcomes, we assessed between-hospital variation in EPTB stratified by hospital level of neonatal care, and determined the proportion of variance explained by differences in maternal and hospital factors. STUDY

designWe assessed 7,046,253 births in California from 1997 to 2011, using hospital discharge, birth, and death certificate data. We estimated the association between maternal and hospital factors and EPTB using multivariable regression, calculated hospital-specific EPTB frequencies, and estimated between-hospital variances and median odds ratios, stratified by hospital level of care.

resultHospital frequencies of EPTB ranged from 0% to 2.5%. Between-hospital EPTB frequencies varied substantially, despite stratifying by hospital level of care and accounting for confounding factors.

conclusionOur results demonstrate differences in EPTBs among hospitals with level 1 and 2 neonatal care, an area to target for future research and quality improvement.

Indexed as

Premature BirthFemaleHospitalsHumansInfantInfant, Extremely PrematureInfant, NewbornOdds Ratio

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Registered trials

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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.