Evidence map›Paper›PMID 40034757›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Examining Perinatal Regionalization in Practice: A Network Analysis of Maternal Transport in Georgia.

Jingyu Li, Stephanie M Radke, Lauren N Steimle

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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
–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

5 · Who and what money

Authors and funding

3 authors.

Jingyu Li
Stephanie M Radke

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The primary objective was to use network analysis to characterize maternal transport patterns in the state of Georgia and compare them with the state's designated perinatal regions (DPRs). Study Design: Using 2017-2022 birth records in Georgia, we constructed network graphs of maternal transport routes among obstetric facilities. We used multivariate logistic regression to identify factors associated with inter-DPR transports. We applied a community-detection algorithm to cluster facilities and compared the clusters to Georgia's DPRs. Results: Among 774 639 deliveries, 2 757 (0.36%) involved transports among obstetric facilities. 8 facility clusters were identified and strongly aligned with DPRs (p < 0.001). Inter-DRP transports tended to occur between neighboring DPRs and between facilities belonging to the same healthcare system (p < 0.001). Conclusion: Network analysis reveals patterns of maternal transports among obstetric facilities. States can improve the design of perinatal regionalization systems by formalizing existing partnership among obstetric facilities.

Identifiers

PMID40034757
PMCPMC11875245

What OpenQuestion holds

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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.