ArticleArchives of disease in childhood2011
Risk score to stratify children with suspected serious bacterial infection: observational cohort study.
Article in Archives of disease in childhood, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02496559 (Children With Fever and Respiratory Symptoms at Out-of-hours Services in Norway), which is not on this map. Cited by 20 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
Children With Fever and Respiratory Symptoms at Out-of-hours Services in Norway
Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.
- Shivering has little diagnostic value in diagnosing serious bacterial infection in children: a systematic review and meta-analysis.European journal of pediatrics · 2021Pooled it
- Pooled it
- Clinical prediction models for serious infections in children: external validation in ambulatory care.BMC medicine · 2023Trial
- Trial
- Trial
- Presepsin as a promising biomarker for early detection of post-operative infection in children.Frontiers in pediatrics · 2023Article
- Accuracy of the NICE traffic light system in children presenting to general practice: a retrospective cohort study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2022Article
- Integrating Clinical Signs at Presentation and Clinician's Non-analytical Reasoning in Prediction Models for Serious Bacterial Infection in Febrile Children Presenting to Emergency Department.Frontiers in pediatrics · 2022Article
- Incidence, clinical profile, and risk factors for serious bacterial infections in children hospitalized with fever in Ujjain, India.BMC infectious diseases · 2020Article
- Performance of prediction rules and guidelines in detecting serious bacterial infections among Tanzanian febrile children.BMC infectious diseases · 2019Article
- Pediatric Patients Discharged from the Emergency Department with Abnormal Vital Signs.The western journal of emergency medicine · 2017Article
- The Diagnostic Accuracy of Serum Procalcitonin for Bacteremia in Critically Ill Children.Infectious diseases in clinical practice (Baltimore, Md.) · 2016Article
- Article
- Bacteremia in Early Infancy: Etiology and Management.Current infectious disease reports · 2016Article
- Translation of clinical prediction rules for febrile children to primary care practice: an observational cohort study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2015Observational
- Leukocyte populations and C-reactive protein as predictors of bacterial infections in febrile outpatient children.Turkish journal of haematology : official journal of Turkish Society of Haematology · 2014Article
- Use of alarm features in referral of febrile children to the emergency department: an observational study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2014Observational
- The use of vital signs as predictors for serious bacterial infections in children with acute febrile illness in a pediatric emergency setting in Sudan.Sudanese journal of paediatrics · 2014Article
- Article
- How well do clinical prediction rules perform in identifying serious infections in acutely ill children across an international network of ambulatory care datasets?BMC medicine · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 7 institutions in 3 countries.
Funding
Abstract
objectivesTo derive and validate a clinical score to risk stratify children presenting with acute infection. STUDY DESIGN AND
participantsObservational cohort study of children presenting with suspected infection to an emergency department in England. Detailed data were collected prospectively on presenting clinical features, laboratory investigations and outcome. Clinical predictors of serious bacterial infection (SBI) were explored in multivariate logistic regression models using part of the dataset, each model was then validated in an independent part of the dataset, and the best model was chosen for derivation of a clinical risk score for SBI. The ability of this score to risk stratify children with SBI was then assessed in the entire dataset.
main outcome measureFinal diagnosis of SBI according to criteria defined by the Royal College of Paediatrics and Child Health working group on Recognising Acute Illness in Children.
resultsData from 1951 children were analysed. 74 (3.8%) had SBI. The sensitivity of individual clinical signs was poor, although some were highly specific for SBI. A score was derived with reasonable ability to discriminate SBI (area under the receiver operator characteristics curve 0.77, 95% CI 0.71 to 0.83) and risk stratify children with suspected SBI.
conclusionsThis study demonstrates the potential utility of a clinical score in risk stratifying children with suspected SBI. Further work should aim to validate the score and its impact on clinical decision making in different settings, and ideally incorporate it into a broader management algorithm including additional investigations to further stratify a child's risk.
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Registered trials
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.