Evidence map›Paper›PMID 32637894›Full record

ArticleEClinicalMedicine2020

Re-evaluating and recalibrating predictors of bacterial infection in children with cancer and febrile neutropenia.

Gabrielle M Haeusler, Robert Phillips, Monica A Slavin, Franz E Babl, Richard De Abreu Lourenco, Francoise Mechinaud, Karin A Thursky, Australian PICNICC study group and the PREDICT network

Open access · goldAbstract read
In one paragraph

Article in EClinicalMedicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.4field-weighted citation impact, top 9% 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

19 citing papers in PubMed, 41 citations in OpenAlex.

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  15. Survey of practices for the clinical management of febrile neutropenia in children in hematology-oncology units in Latin America.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
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  16. Observational
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  18. Home-based care of low-risk febrile neutropenia in children-an implementation study in a tertiary paediatric hospital.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
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  19. Review
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 5 institutions in 3 countries.

Gabrielle M HaeuslerDepartment of Infectious Diseases, Peter MacCallum Cancer Centre, Melbourne, Australia.
Robert PhillipsCentre for Reviews and Dissemination, University of York, York, United Kingdom.
Monica A SlavinDepartment of Infectious Diseases, Peter MacCallum Cancer Centre, Melbourne, Australia.
Franz E BablMurdoch Children's Research Institute, Parkville, Australia.
Richard De Abreu LourencoCentre for Health Economics Research and Evaluation, University of Technology Sydney, Broadway, Australia.
Francoise MechinaudUnité d'hématologie immunologie pédiatrique, Hopital Robert Debré, APHP Nord Université de Paris, France.
Karin A ThurskyDepartment of Infectious Diseases, Peter MacCallum Cancer Centre, Melbourne, Australia.
Australian PICNICC study group and the PREDICT network
Royal Children's Hospital · AUThe University of Melbourne · AULeeds General Infirmary · GBUniversité Paris Cité · FRUniversity of Technology Sydney · AU

Funding

Department of Health PDF-2014-07-072Medical Research Council G0800472
6 · The paper itself

Abstract

backgroundNumerous paediatric febrile neutropenia (FN) clinical decision rules (CDRs) have been derived. Validation studies show reduced performance in external settings. We evaluated the association between variables common across published FN CDRs and bacterial infection and recalibrated existing CDRs using these data.

methodsProspective data from the Australian-PICNICC study which enrolled 858 FN episodes in children with cancer were used. Variables shown to be significant predictors of infection or adverse outcome in >1 CDR were analysed using multivariable logistic regression. Recalibration included re-evaluation of beta-coefficients (logistic model) or recursive-partition analysis (tree-based models).

findingsTwenty-five unique variables were identified across 17 FN CDRs. Fourteen were included in >1 CDR and 10 were analysed in our dataset. On univariate analysis, location, temperature, hypotension, rigors, severely unwell and decreasing platelets, white cell count, neutrophil count and monocyte count were significantly associated with bacterial infection. On multivariable analysis, decreasing platelets, increasing temperature and the appearance of being clinically unwell remained significantly associated. Five rules were recalibrated. Across all rules, recalibration increased the AUC-ROC and low-risk yield as compared to non-recalibrated data. For the SPOG-adverse event CDR, recalibration also increased sensitivity and specificity and external validation showed reproducibility.

interpretationDegree of marrow suppression (low platelets), features of inflammation (temperature) and clinical judgement (severely unwell) have been consistently shown to predict infection in children with FN. Recalibration of existing CDRs is a novel way to improve diagnostic performance of CDRs and maintain relevance over time.

fundingNational Health and Medical Research Council Grant (APP1104527).

Indexed as

ChildClinical decision ruleFebrile neutropeniaRecalibrationRisk stratification

Identifiers

PMID32637894
PMCPMC7329706
OpenAlexW3035148450

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.