Evidence map›Paper›PMID 22761088›Full record

ArticleBMJ (Clinical research ed.)2012

Derivation and validation of age and temperature specific reference values and centile charts to predict lower respiratory tract infection in children with fever: prospective observational study.

R G Nijman, M Thompson, M van Veen, R Perera, H A Moll, R Oostenbrink

Open access · hybridAbstract readValidation Study
In one paragraph

Article in BMJ (Clinical research ed.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed, 47 citations in OpenAlex.

  1. Trial
  2. A primary healthcare approach to children with fever.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2026
    Article
  3. Axial length normative data and percentile curves for schoolchildren in Taiwan: A tool for myopia monitoring.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2025
    Article
  4. The Impact of Inflammation on Thermal Hyperpnea: Relevance for Heat Stress and Febrile Seizures.American journal of respiratory cell and molecular biology · 2024
    Article
  5. Observational
  6. Pediatric triage modifications based on vital signs: a nationwide study.Clinical and experimental emergency medicine · 2022
    Article
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Article
  12. [Paediatric Life Support].Notfall & rettungsmedizin · 2021
    Review
  13. Article
  14. Article
  15. Article
  16. Effectiveness of a Training Course on Accuracy of Triaging of Pediatric Patients.Open access Macedonian journal of medical sciences · 2019
    Article
  17. Article
  18. Observational
  19. Article
  20. Fever in Children: Pearls and Pitfalls.Children (Basel, Switzerland) · 2017
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

R G NijmanDepartment of General Paediatrics, Erasmus MC-Sophia Children's Hospital, 3015 GJ Rotterdam, Netherlands.
M Thompson
M van Veen
R Perera
H A Moll
R Oostenbrink
Erasmus MC - Sophia Children’s Hospital · NLUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo develop reference values and centile charts for respiratory rate based on age and body temperature, and to determine how well these reference values can predict the presence of lower respiratory tract infections (LRTI) in children with fever.

designProspective observational study.

participantsFebrile children aged at least 1 month to just under 16 years (derivation population, n = 1555; validation population, n = 671) selected from patients attending paediatric emergency departments or assessment units in hospitals.

settingOne hospital in the Netherlands in 2006 and 2008 (derivation population); one hospital in the Netherlands in 2003-05 and one hospital in the United Kingdom in 2005-06 (validation population).

interventionWe used the derivation population to produce respiratory rate centile charts, and calculated 50th, 75th, 90th, and 97th centiles of respiratory rate at a specific body temperature. Multivariable regression analysis explored associations between respiratory rate, age, and temperature; results were validated in the validation population by calculating diagnostic performance measures, z scores, and corresponding centiles of children with diagnoses of pneumonic LRTI (as confirmed by chest radiograph), non-pneumonic LRTI, and non-LRTI.

main outcome measureAge, respiratory rate (breaths/min) and body temperature (°C), presence of LRTI.

resultsRespiratory rate increased overall by 2.2 breaths/min per 1°C rise (standard error 0.2) after accounting for age and temperature in the model. We observed no interactions between age, temperature, and respiratory rates. Age and temperature dependent cut-off values at the 97th centile were more useful for ruling in LRTI (specificity 0.94 (95% confidence interval 0.92 to 0.96), positive likelihood ratio 3.66 (2.34 to 5.73)) than existing respiratory rate thresholds such as Advanced Pediatrics Life Support values (0.53 (0.48 to 0.57), 1.59 (1.41 to 1.80)). However, centile cut-offs could not discriminate between pneumonic LRTI and non-pneumonic LRTI.

conclusionsAge specific and temperature dependent centile charts describe new reference values for respiratory rate in children with fever. Cut-off values at the 97th centile were more useful in detecting the presence of LRTI than existing respiratory rate thresholds.

Indexed as

AdolescentAge FactorsBody TemperatureChildChild, PreschoolFemaleFeverHumansInfantLinear ModelsMalePredictive Value of TestsProspective StudiesReference ValuesRespiratory RateRespiratory Tract Infections

Identifiers

PMID22761088
PMCPMC3388747
OpenAlexW2150611768

What OpenQuestion holds

Textmetadata
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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.