Evidence map›Paper›PMID 42627855›Full record

ArticlePLOS digital health2026

Time-surrogate variables enhance the association between cardiotocographic features and intrapartum hypoxic-ischemic encephalopathy.

Johann Vargas-Calixto, Michael W Kuzniewicz, Marie-Coralie Cornet, Yvonne W Wu, Aditi Lahiri, Lawrence Gerstley, John Parker, Philip A Warrick, Robert E Kearney

Abstract read
In one paragraph

Article in PLOS digital health, 2026. 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

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.

Johann Vargas-CalixtoDepartment of Biomedical Informatics, Emory University, Atlanta, Georgia, United States of America.ORCID https://orcid.org/0000-0002-4886-353X
Michael W KuzniewiczDivision of Research, Kaiser Permanente Northern California, Oakland, California, United States of America.
Marie-Coralie CornetDepartment of Neurology, University of California, San Francisco, California, United States of America.
Yvonne W WuDepartment of Neurology, University of California, San Francisco, California, United States of America.
Aditi LahiriDivision of Research, Kaiser Permanente Northern California, Oakland, California, United States of America.
Lawrence GerstleyDivision of Research, Kaiser Permanente Northern California, Oakland, California, United States of America.
John ParkerPeriGen Inc. Medical Research, Cary, North Carolina, United States of America.
Philip A WarrickPeriGen Inc. Medical Research, Cary, North Carolina, United States of America.
Robert E KearneyDepartment of Biomedical Engineering, McGill University, Montreal, Quebec, Canada.ORCID https://orcid.org/0000-0002-5107-6190

Funding

Maternal Antecedents and Electronic Fetal Monitoring in Term Asphyxia (MAESTRA)R01HD099216 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KEARNEY, ROBERT EDWARD, WU, YVONNE W · 2020 to 2025
$2.8M
NICHD NIH HHS R01 HD099216
6 · The paper itself

Abstract

Interruptions to the flow of oxygenated blood to the fetal brain during labor can lead to hypoxic-ischemic encephalopathy (HIE). Timely interventions for suspected hypoxemia are crucial to prevent neurological injury. Prior cardiotocography (CTG) based prediction systems have focused only on the end of labor, when preventive measures are unlikely to be effective. We previously demonstrated that accounting for proximity to birth improved the association between CTG features and outcome. Since proximity to birth cannot be known prospectively, other time-surrogate variables (TSVs) may be more clinically appropriate. We analyzed intrapartum data from 174,186 births (152,761 vaginal, 21,425 Caesarean): 171,246 healthy, 2,636 with perinatal acidosis, and 304 with confirmed HIE. Classical and novel CTG features were extracted across labor durations up to 72 hours. This dataset represents one of the largest cohorts of intrapartum CTG data to date by participant count and signal length. We evaluated four candidate TSVs alongside the reference proximity to birth to evaluate their ability to enhance the association of CTG features and the development of HIE. To do so, we applied information-theoretic methods to quantify their contribution to the association of fetal outcomes with CTG features. Incorporating TSVs significantly increased the normalized mutual information (NMI) between CTG features and outcomes, improving NMI by over 20% for the ten most informative baseline features. Cumulative contraction time (CCT) and the time from labor onset (TLO) were the most effective TSVs in both vaginal and Caesarean delivery cohorts, which demonstrates their robustness regardless of delivery mode. However, it is more practical to track TLO in clinical settings than to continuously monitor contractions. To conclude, TLO is the most suitable TSV for prospective intrapartum CTG evaluation. Incorporating it may substantially enhance the performance of automated systems for early detection of intrapartum HIE.

Identifiers

PMID42627855
PMCPMC13497259

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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.