Evidence map›Paper›PMID 36802862›Full record

ReviewThe Journal of international medical research2023

Development of a nomogram for severe influenza in previously healthy children: a retrospective cohort study.

Wenyun Huang, Wensi Niu, Hongmei Chen, Wujun Jiang, Yanbing Fu, Xiuxiu Li, Minglei Li, Jun Hua, Chunxia Hu

Open access · goldAbstract readReview
In one paragraph

Review in The Journal of international medical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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 at 1 institution in 1 country.

Wenyun HuangDepartment of Emergency Medicine, Children's Hospital of Soochow University, Suzhou, China.
Wensi NiuDepartment of Pediatrics, Suzhou Wujiang District Children's Hospital (Children's Hospital of Soochow University Wujiang Branch), Suzhou, China.
Hongmei ChenDepartment of Emergency Medicine, Children's Hospital of Soochow University, Suzhou, China.
Wujun JiangDepartment of Pediatrics, Suzhou Wujiang District Children's Hospital (Children's Hospital of Soochow University Wujiang Branch), Suzhou, China.
Yanbing FuDepartment of Emergency Medicine, Children's Hospital of Soochow University, Suzhou, China.
Xiuxiu LiDepartment of Emergency Medicine, Children's Hospital of Soochow University, Suzhou, China.
Minglei LiDepartment of Emergency Medicine, Children's Hospital of Soochow University, Suzhou, China.
Jun HuaDepartment of Emergency Medicine, Children's Hospital of Soochow University, Suzhou, China.ORCID 0000-0002-9610-807X
Chunxia HuDepartment of Pediatrics, Suzhou Wujiang District Children's Hospital (Children's Hospital of Soochow University Wujiang Branch), Suzhou, China.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe aimed to develop a nomogram to predict the risk of severe influenza in previously healthy children.

methodsIn this retrospective cohort study, we reviewed the clinical data of 1135 previously healthy children infected with influenza who were hospitalized in the Children's Hospital of Soochow University between 1 January 2017 and 30 June 2021. Children were randomly assigned in a 7:3 ratio to a training or validation cohort. In the training cohort, univariate and multivariate logistic regression analyses were used to identify risk factors, and a nomogram was established. The validation cohort was used to evaluate the predictive ability of the model.

resultWheezing rales, neutrophils, procalcitonin > 0.25 ng/mL,

conclusionThe nomogram may predict the risk of severe influenza in previously healthy children.

Indexed as

Influenza, HumanNomogramsCalibrationChildFeverHumansRandomized Controlled Trials as TopicRetrospective Studieschilddiagnosenomogrampredictor modelrisk factorSevere influenza

Identifiers

PMID36802862
PMCPMC9941605
OpenAlexW4321379062

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.