Evidence map›Paper›PMID 35616731›Full record

ArticleEuropean journal of pediatrics2022

Comparison of four neonatal transport scoring methods in the prediction of mortality risk in full-term, out-born infants: a single-center retrospective cohort study.

Wenwen Qu, Yanhua Shen, Yujie Qi, Min Jiang, Xu Zheng, Jinjing Zhang, Dan Wu, Wenwen He, Wenjing Geng, Mingyan Hei

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In one paragraph

Article in European journal of pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Data variables reported during neonatal transport: a systematic literature review.Journal of perinatology : official journal of the California Perinatal Association · 2026
    Pooled it
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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

10 authors at 3 institutions in 1 country.

Wenwen QuNeonatal Center, Beijing Children's Hospital, Capital Medical University, Beijing, China.
Yanhua ShenNeonatal Center, Beijing Children's Hospital, Capital Medical University, Beijing, China.
Yujie QiNeonatal Center, Beijing Children's Hospital, Capital Medical University, Beijing, China.
Min JiangNeonatal Center, Beijing Children's Hospital, Capital Medical University, Beijing, China.
Xu ZhengNeonatal Center, Beijing Children's Hospital, Capital Medical University, Beijing, China.
Jinjing ZhangNeonatal Center, Beijing Children's Hospital, Capital Medical University, Beijing, China.
Dan WuNeonatal Center, Beijing Children's Hospital, Capital Medical University, Beijing, China.
Wenwen HeNeonatal Center, Beijing Children's Hospital, Capital Medical University, Beijing, China.
Wenjing GengNeonatal Center, Beijing Children's Hospital, Capital Medical University, Beijing, China.
Mingyan HeiNeonatal Center, Beijing Children's Hospital, Capital Medical University, Beijing, China. heimingyan@bch.com.cn.
Beijing Children’s Hospital · CNNational Center for Women and Children’s Health, China CDC · CNCapital Medical University · CN

Funding

Investigator led research grant from the Special Fund of the Pediatric Medical Coordinated Development Center of Beijing Hospitals Authority XTCX201816
6 · The paper itself

Abstract

Neonatal transport scoring systems can assess severity before and after transport, improve transport efficiency, and predict the occurrence of critical illness. The aim of this study was to compare four neonatal transport scoring methods to predict mortality risk and clinical utility within the first week after transportation. This was a single-center retrospective cohort study. All patients were full-term, out-born neonates. Each patient was assessed by the Transport Risk Index of Physiologic Stability (TRIPS), Mortality Index for Neonatal Transportation (MINT), Transport-Related Mortality Score (TREMS), and Neonatal Critical Illness Score (NCIS) scoring methods. Receiver operating characteristic (ROC) curves and decision curve analysis (DCA) for each method were compared for their utility in predicting mortality risk within the 1st week after admission. In total, 368 full-term infants were included (368/770, 47.8% of all transported infants). Within the 1st week after admission, five infants (1.36%, 5/368) died while receiving advanced life support and full treatment, and 24 infants (6.52%, 24/368) died soon after they were discharged against medical advice. The areas under the curve (AUCs) for the MINT, TRIPS, TREMS, and NCIS for the prediction of mortality were 0.822, 0.827, 0.643, and 0.731, respectively (all p < 0.05). However, the clinical net benefits for the MINT and TRIPS were far superior than those for the NCIS and TREMS.

conclusionIt was concluded that the TRIPS and MINT might be more suitable for the prediction of mortality in full-term, out-born neonates in the neonatal intensive care unit (NICU) within the 1st week after transportation. WHAT IS KNOWN: • Neonatal transport scores can assess not only the mortality risk during transportation but also the mortality risk of critically ill newborns after admission to the NICU. • The effectiveness of neonatal transport scores in predicting mortality risk is different. WHAT IS NEW: • Our data indicate that the diagnostic efficacy of the MINT, TRIPS, and NCIS in the prediction of full-term infant mortality was high. • The TRIPS and MINT scores had better clinical utility and could be used to predict mortality within the 1st week after transportation in full-term out-born neonates.

Indexed as

Critical IllnessResearch DesignHumansInfantInfant, NewbornIntensive Care Units, NeonatalRetrospective StudiesROC CurveFull termInfant, newbornMortality riskTransport scoring

Identifiers

PMID35616731
OpenAlexW4281552529

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Registered trials

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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.