Evidence map›Paper›PMID 34192187›Full record

ArticleBMJ paediatrics open2021

Predictors of serious bacterial infections using serum biomarkers in an infant population aged 0 to 90 days: a prospective cohort study.

Serena Su Ying Chang, Amanda Zhirui Lim, Gene Yong-Kwang Ong, Rupini Piragasam, John Carson Allen, Kee Chong Ng, Ian Maconochie, Shu-Ling Chong

Open access · diamondAbstract read
In one paragraph

Article in BMJ paediatrics open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Observational
  13. 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

8 authors at 4 institutions in 4 countries.

Serena Su Ying ChangDepartment of Paediatric Medicine, KK Women's and Children's Hospital, Singapore.ORCID 0000-0002-6680-0348
Amanda Zhirui LimYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Gene Yong-Kwang OngDepartment of Emergency Medicine, KK Women's and Children's Hospital, Duke-NUS Medical School, Singapore.ORCID 0000-0002-9879-0594
Rupini PiragasamKK Research Centre, KK Women's and Children's Hospital, Singapore.
John Carson AllenCentre for Quantitative Medicine, Duke-NUS Medical School, Singapore.
Kee Chong NgDepartment of Emergency Medicine, KK Women's and Children's Hospital, Duke-NUS Medical School, Singapore.
Ian MaconochieSection of Paediatrics, Imperial College Healthcare NHS Trust, London, UK.
Shu-Ling ChongDepartment of Emergency Medicine, KK Women's and Children's Hospital, Duke-NUS Medical School, Singapore.ORCID 0000-0003-4647-0019
KK Women's and Children's Hospital · SGImperial College Healthcare NHS Trust · GBQuantitative BioSciences · USYong In University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Young febrile infants represent a vulnerable population at risk for serious bacterial infections (SBI). We aimed to evaluate the diagnostic accuracy of components of the complete blood count in comparison with C-reactive protein (CRP) to predict SBI among febrile infants. Design and setting: Prospective cohort study conducted in a tertiary emergency department between December 2018 and November 2019. Patients: We included febrile infants ≤3 months old with complete blood count results. We analysed their white blood cell count (WBC), absolute neutrophil ratio (ANC), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio, mean platelet volume to platelet count ratio, and compared these to the performance of CRP. Main outcome measures: SBIs were defined as urinary tract infection, bacteraemia, bacterial meningitis, sepsis, pneumonia, skin and soft tissue infection, bacterial enteritis, septic arthritis or osteomyelitis. Results: Of the 187 infants analysed, 54 (28.9%) were diagnosed with SBI. Median values of WBC, ANC, NLR and CRP were significantly higher in infants with SBI: WBC (13.8 vs 11.4×10 Conclusion: In young febrile infants, CRP was the best discriminatory biomarker for SBI. WBC, ANC and NLR when used in combination have potential diagnostic utility in this population.

Indexed as

Bacterial InfectionsC-Reactive ProteinBiomarkersHumansInfantInfant, NewbornLeukocyte CountProspective StudiesBiomarkersC-Reactive Proteinmicrobiologyneonatology

Identifiers

PMID34192187
PMCPMC7818843
OpenAlexW3123654032

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.