Evidence map›Paper›PMID 38293656›Full record

ArticleMDM policy & practice

Resource Utilization and Costs Associated with Approaches to Identify Infants with Early-Onset Sepsis.

Grace Guan, Neha S Joshi, Adam Frymoyer, Grace D Achepohl, Rebecca Dang, N Kenji Taylor, Joshua A Salomon, Jeremy D Goldhaber-Fiebert, Douglas K Owens

Abstract read
In one paragraph

Article in MDM policy & practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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.

Grace GuanDepartment of Management Science and Engineering, Stanford University, Stanford, CA, USA.ORCID https://orcid.org/0000-0002-4904-6072
Neha S JoshiDepartment of Pediatrics, Center for Academic Medicine, Stanford University, Stanford, CA, USA.ORCID https://orcid.org/0000-0003-2397-1662
Adam FrymoyerDepartment of Pediatrics, Center for Academic Medicine, Stanford University, Stanford, CA, USA.
Grace D AchepohlStanford Prevention Research Center, Stanford University, Palo Alto, CA, USA.
Rebecca DangDepartment of Pediatrics, Center for Academic Medicine, Stanford University, Stanford, CA, USA.
N Kenji TaylorDivision of Primary Care & Population Health, Stanford University School of Medicine, Stanford, CA, USA.
Joshua A SalomonDepartment of Health Policy, School of Medicine, and Stanford Health Policy, Freeman Spogli Institute for International Studies, Stanford University, Stanford, CA, USA.
Jeremy D Goldhaber-FiebertDepartment of Health Policy, School of Medicine, and Stanford Health Policy, Freeman Spogli Institute for International Studies, Stanford University, Stanford, CA, USA.ORCID https://orcid.org/0000-0002-4007-5192
Douglas K OwensDepartment of Health Policy, School of Medicine, and Stanford Health Policy, Freeman Spogli Institute for International Studies, Stanford University, Stanford, CA, USA.

Funding

Towards Identifying Optimal NICU Admission Criteria for Late Preterm InfantsF32HD106763 · NICHD · STANFORD UNIVERSITY · PI JOSHI, NEHA SHIRISH · 2022 to 2024
$187k
NICHD NIH HHS F32 HD106763
6 · The paper itself

Abstract

Highlights: Of the 3 approaches recommended by the American Academy of Pediatrics in 2018 to identify early-onset sepsis in infants born at ≥35 weeks, the categorical risk assessment approach leads to about twice as many infants receiving evaluation to rule out early-onset sepsis compared with the neonatal sepsis calculator and enhanced clinical observation approaches.While the hospital costs of the 3 approaches were similar over the entire population of live births, the neonatal sepsis calculator and enhanced clinical observation approaches reduce antibiotic exposure, neonatal intensive care unit admission, and hospital costs associated with interventions as part of the screening approach compared with the categorical risk assessment approach.

Indexed as

cost analysisdecision analysisnewborn medicinepediatrics

Identifiers

PMID38293656
PMCPMC10826394

What OpenQuestion holds

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LicenceCC BY-NC
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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.