Evidence map›Paper›PMID 32181015›Full record

ArticleJournal of advanced research2020

Development and validation of a nomogram for predicting late-onset sepsis in preterm infants on the basis of thyroid function and other risk factors: Mixed retrospective and prospective cohort study.

Yuejun Huang, Xiaochan Yu, Weidong Li, Yuewa Li, Jianhui Yang, Zhimei Hu, Yanli Wang, Peishan Chen, Weizhong Li, Yunbin Chen

Open access · goldAbstract read
In one paragraph

Article in Journal of advanced research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

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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.

Yuejun HuangDepartment of Neonatology, Second Affiliated Hospital of Shantou University Medical College, North Dongxia Road, Shantou 515041, Guangdong, China.
Xiaochan YuDepartment of Neonatology, Affiliated Xiaolan Hospital of Southern Medical University, Zhongshan, 528415, Guangdong, China.
Weidong LiDepartment of Neonatology, Affiliated Xiaolan Hospital of Southern Medical University, Zhongshan, 528415, Guangdong, China.
Yuewa LiDepartment of Neonatology, Second Affiliated Hospital of Shantou University Medical College, North Dongxia Road, Shantou 515041, Guangdong, China.
Jianhui YangDepartment of Neonatology, Second Affiliated Hospital of Shantou University Medical College, North Dongxia Road, Shantou 515041, Guangdong, China.
Zhimei HuDepartment of Obstetrics, Second Affiliated Hospital of Shantou University Medical College, North Dongxia Road, Shantou 515041, Guangdong, China.
Yanli WangDepartment of Neonatology, Women and Children Hospital of Guangdong Province, West Guangyuan Road, Guangzhou 510000, Guangdong, China.
Peishan ChenDepartment of Obstetrics, Second Affiliated Hospital of Shantou University Medical College, North Dongxia Road, Shantou 515041, Guangdong, China.
Weizhong LiDepartment of Neonatology, Second Affiliated Hospital of Shantou University Medical College, North Dongxia Road, Shantou 515041, Guangdong, China.
Yunbin ChenDepartment of Neonatology, Women and Children Hospital of Guangdong Province, West Guangyuan Road, Guangzhou 510000, Guangdong, China.
Shantou University · CNGuangdong Province Women and Children Hospital · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preterm birth and infection are common causes of neonatal death. In this study, we aimed to develop a nomogram for assessing the individual prior probability of late-onset sepsis on the basis of risk factors in preterm infants. This study is a mixed retrospective and prospective cohort study conducted in three centers. Data from January 2014 to December 2017 was used for the development cohort, and data from January 2018 to December 2018 was used for the validation cohort. In the development cohort, we identified the predicting variables of late-onset sepsis in preterm infants, from which a nomogram was obtained. Then we built nomograms, for with and without thyroid function, to predict late-onset sepsis. The nomogram was validated in the validation cohort concerning discrimination and calibration. A total of 1256 and 452 preterm infants were included in the development and validation cohort, respectively. We found thyroid hypofunction in preterm infants could increase the incidence of late-onset infection. The prediction model incorporated thyroid function, birth weight, use of endotracheal intubation, and duration of umbilical venous catheters was validated and developed as a nomogram for predicting late-onset sepsis in preterm infants. Nomogram in this study may contribute to clinical assessment and treatment decisions.

Indexed as

Late onsetNomogramPreterm infantSepsisThyroid function

Identifiers

PMID32181015
PMCPMC7063096
OpenAlexW3008650807

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.