Evidence map›Paper›PMID 31799346›Full record

ArticleData in brief2019

Neonatal sepsis registry: Time to antibiotic dataset.

Svetlana Ostapenko, Melissa Schmatz, Lakshmi Srinivasan, Okan U Elci, Scott L Weiss, Aaron J Masino, Marissa Tremoglie, Mary Catherine Harris, Robert W Grundmeier

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Data in brief, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

9 authors at 3 institutions in 1 country.

Svetlana OstapenkoDepartment of Biomedical & Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Melissa SchmatzDivision of Neonatology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Lakshmi SrinivasanDivision of Neonatology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Okan U ElciThe Biostatistics and Data Management Core, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Scott L WeissDepartment of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Aaron J MasinoDepartment of Biomedical & Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Marissa TremoglieDivision of Neonatology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Mary Catherine HarrisDivision of Neonatology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Robert W GrundmeierDepartment of Biomedical & Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Children's Hospital of Philadelphia · USUniversity of Pennsylvania · USWestat (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article describes the process of extracting electronic health record (EHR) data into a format that supports analyses related to the timeliness of antibiotic administration. The de-identified data that accompanies this article were collected from a cohort of infants who were evaluated for possible sepsis in the Neonatal Intensive Care Unit (NICU) at the Children's Hospital of Philadelphia (CHOP). The interpretation of findings from these data are reported in a separate manuscript [1]. For purposes of illustration for interested readers, scripts written in the R programming language related to the creation and use of the dataset have also been provided. Interested researchers are encouraged to contact the research team to discuss opportunities for collaboration.

Indexed as

Anti-bacterial agentsInfant mortalityNeonatal sepsisQuality improvementRegistries

Identifiers

PMID31799346
PMCPMC6881601
OpenAlexW2988818594

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.