Evidence map›Paper›PMID 27120474›Full record

ArticleAmerican journal of perinatology2016

Center Variation in the Delivery of Indicated Late Preterm Births.

Sofia Aliaga, Jun Zhang, D Leann Long, Amy H Herring, Matthew Laughon, Kim Boggess, Uma M Reddy, Katherine Laughon Grantz

Abstract readMulticenter Study
In one paragraph

Article in American journal of perinatology, 2016. 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
0.5field-weighted citation impact, top 30% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

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

8 authors at 5 institutions in 2 countries.

Sofia AliagaDepartment of Pediatrics, The University of North Carolina, Chapel Hill, North Carolina.
Jun ZhangMOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Minhang District, Shanghai, China.
D Leann LongDepartment of Biostatistics, West Virginia University, Morgantown, West Virginia.
Amy H HerringDepartment of Biostatistics, West Virginia University, Morgantown, West Virginia.
Matthew LaughonDepartment of Pediatrics, The University of North Carolina, Chapel Hill, North Carolina.
Kim BoggessDepartment of Obstetrics and Gynecology, The University of North Carolina, Chapel Hill, North Carolina.
Uma M ReddyPregnancy and Perinatology Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland.
Katherine Laughon GrantzEpidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland.
University of North Carolina at Chapel Hill · USWest Virginia University · USEunice Kennedy Shriver National Institute of Child Health and Human Development · USNational Institutes of Health · USShanghai Jiao Tong University · CN

Funding

West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI JUDITH FEINBERG · 2012 to 2026
$81.0M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Consortium on Safe LaborZIAHD008794 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI GRANTZ, KATHERINE · 2009 to 2022
$3.2M
NICHD NIH HHS HHSN267200603425CNICHD NIH HHS P2C HD050924NIGMS NIH HHS U54 GM104942
6 · The paper itself

Abstract

Objective Evidence for optimal timing of delivery for some pregnancy complications at late preterm gestation is limited. The purpose of this study was to identify center variation of indicated late preterm births. Study design We performed an analysis of singleton late preterm and term births from a large U.S. retrospective obstetrical cohort. Births associated with spontaneous preterm labor, major congenital anomalies, chorioamnionitis, and emergency cesarean were excluded. We used modified Poisson fixed effects logistic regression with interaction terms to assess center variation of indicated late preterm births associated with four medical/obstetric comorbidities after adjusting for socio-demographics, comorbidities, and hospital/provider characteristics. Results We identified 150,055 births from 16 hospitals; 9,218 were indicated late preterm births. We found wide variation of indicated late preterm births across hospitals. The extent of center variation was greater for births associated with preterm premature rupture of membranes (risk ratio [RR] across sites: 0.45-3.05), hypertensive disorders of pregnancy (RR across sites: 0.36-1.27), and placenta previa/abruption (RR across sites: 0.48-1.82). We found less center variation for births associated with diabetes (RR across sites: 0.65-1.39). Conclusion Practice variation in the management of indicated late preterm deliveries might be a source of preventable late preterm birth.

Indexed as

AdultDelivery, ObstetricFemaleGestational AgeHumansHypertension, Pregnancy-InducedInfant, NewbornLogistic ModelsPlacenta PreviaPregnancyPregnancy ComplicationsPremature BirthPremature Rupture of Fetal MembranesRetrospective StudiesRisk FactorsUnited States

Identifiers

PMID27120474
PMCPMC4972671
OpenAlexW2345021195

What OpenQuestion holds

Textmetadata
LicenceTDM
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.