Evidence map›Paper›PMID 36037228›Full record

ArticlePloS one2022

Development and validation of the predictive score for pediatric COVID-19 pneumonia: A nationwide, multicenter study.

Araya Satdhabudha, Chanapai Chaiyakulsil, Rattapon Uppala, Watit Niyomkarn, Prakarn Tovichien, Vasinee Norasettekul, Kanokpan Ruangnapa, Chutima Smathakanee, Bararee Choursamran, Aunya Kulbun and 14 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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

24 authors at 13 institutions in 1 country.

Araya SatdhabudhaDepartment of Pediatrics, Faculty of Medicine, Thammasat University Hospital, Thammasat University, Pathumthani, Thailand.
Chanapai ChaiyakulsilDepartment of Pediatrics, Faculty of Medicine, Thammasat University Hospital, Thammasat University, Pathumthani, Thailand.ORCID 0000-0003-4677-4223
Rattapon UppalaDepartment of Pediatrics, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Watit NiyomkarnDepartment of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.ORCID 0000-0002-0623-0099
Prakarn TovichienDepartment of Pediatrics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.ORCID 0000-0002-5000-9930
Vasinee NorasettekulDepartment of Pediatrics, Charoenkrung Pracharak Hospital, Bangkok, Thailand.
Kanokpan RuangnapaDepartment of Pediatrics, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand.
Chutima SmathakaneeDepartment of Pediatrics, Hat Yai Hospital, Songkhla, Thailand.
Bararee ChoursamranDepartment of Pediatrics, Sawanpracharak Hospital, Nakhon Sawan, Thailand.
Aunya KulbunDepartment of Pediatrics, Her Royal Highness Maha Chakri Sirindhorn Medical Center, Faculty of Medicine, Srinakharinwirot University, Nakhon Nayok, Thailand.
Rasintra JaroenyingDepartment of Pediatrics, Faculty of Medicine, Phramongkutklao Hospital, Bangkok, Thailand.
Harutai KamalapornDepartment of Pediatrics, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Tidarat SriboonyongDepartment of Pediatrics, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Koonkoaw RoekworachaiDepartment of Pediatrics, Nakornping Hospital, Chiangmai, Thailand.
Kanokkarn SunkonkitDepartment of Pediatrics, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Auchara TangsathapornpongDepartment of Pediatrics, Faculty of Medicine, Thammasat University Hospital, Thammasat University, Pathumthani, Thailand.
Pornumpa BunjoungmaneeDepartment of Pediatrics, Faculty of Medicine, Thammasat University Hospital, Thammasat University, Pathumthani, Thailand.
Wanida Pao-InDepartment of Pediatrics, Faculty of Medicine, Thammasat University Hospital, Thammasat University, Pathumthani, Thailand.
Patcharapa ThaweekulDepartment of Pediatrics, Faculty of Medicine, Thammasat University Hospital, Thammasat University, Pathumthani, Thailand.
Pichaya TantiyavarongDepartment of Clinical Epidemiology, Faculty of Medicine, Thammasat University, Pathumthani, Thailand.ORCID 0000-0003-0793-794X
Thanyarat RatanavongkosolDepartment of Pediatrics, Charoenkrung Pracharak Hospital, Bangkok, Thailand.
Chutima ThongnualDepartment of Pediatrics, Hat Yai Hospital, Songkhla, Thailand.
Paskorn SritipsukhoDepartment of Pediatrics, Faculty of Medicine, Thammasat University Hospital, Thammasat University, Pathumthani, Thailand.
Jitladda DeerojanawongDepartment of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Thammasat University Hospital · THCharoenkrung Pracharak Hospital · THChulalongkorn University · THHatyai Hospital · THMahidol University · THThammasat University · THChiang Mai University · THKhon Kaen University · THNakornping Hospital · THPhramongkutklao Hospital · THPrince of Songkla University · THSiriraj Hospital · THSrinakharinwirot University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDue to the possibility of asymptomatic pneumonia in children with COVID-19 leading to overexposure to radiation and problems in limited-resource settings, we conducted a nationwide, multi-center study to determine the risk factors of pneumonia in children with COVID-19 in order to create a pediatric pneumonia predictive score, with score validation.

methodsThis was a retrospective cohort study done by chart review of all children aged 0-15 years admitted to 13 medical centers across Thailand during the study period. Univariate and multivariate analyses as well as backward and forward stepwise logistic regression were used to generate a final prediction model of the pneumonia score. Data during the pre-Delta era was used to create a prediction model whilst data from the Delta one was used as a validation cohort.

resultsThe score development cohort consisted of 1,076 patients in the pre-Delta era, and the validation cohort included 2,856 patients in the Delta one. Four predictors remained after backward and forward stepwise logistic regression: age < 5 years, number of comorbidities, fever, and dyspnea symptoms. The predictive ability of the novel pneumonia score was acceptable with the area under the receiver operating characteristics curve of 0.677 and a well-calibrated goodness-of-fit test (p = 0.098). The positive likelihood ratio for pneumonia was 0.544 (95% confidence interval (CI): 0.491-0.602) in the low-risk category, 1.563 (95% CI: 1.454-1.679) in the moderate, and 4.339 (95% CI: 2.527-7.449) in the high-risk.

conclusionThis study created an acceptable clinical prediction model which can aid clinicians in performing an appropriate triage for children with COVID-19.

Indexed as

COVID-19PneumoniaChildHumansModels, StatisticalPrognosisRetrospective StudiesRisk AssessmentROC Curve

Identifiers

PMID36037228
PMCPMC9423652
OpenAlexW4293493583

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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.