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Very early discharge versus early discharge versus non‐early discharge in children with cancer and febrile neutropenia

Overview of attention for article published in Cochrane database of systematic reviews, February 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Average Attention Score compared to outputs of the same age and source

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1 news outlet
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Title
Very early discharge versus early discharge versus non‐early discharge in children with cancer and febrile neutropenia
Published in
Cochrane database of systematic reviews, February 2016
DOI 10.1002/14651858.cd008382.pub2
Pubmed ID
Authors

Erik AH Loeffen, Esther M te Poele<sup>a</sup>, Wim JE Tissing, H Marike Boezen, Eveline SJM de Bont

Abstract

Chemotherapy-induced neutropenia is a common adverse effect in children with cancer. Due to the high relative risk of infections and infectious complications, standard care for children with cancer and febrile neutropenia consists of routine hospitalization and parenteral administration of broad-spectrum antibiotics. However, there are less serious causes of febrile neutropenia; in a subgroup of these children, lengthy in-hospital treatment might be unnecessary. Various research groups have studied the adjustment of standard care to shorten in-hospital treatment for children with cancer and febrile neutropenia at low risk for bacterial infections. However, most of these studies were not done in a randomized matter. To evaluate whether early discharge (mean/median of less than five days) from in-hospital treatment was not inferior to non-early discharge (mean/median of five days or more) and whether very early discharge (mean/median of less than 24 hours) was not inferior to early discharge, non-early discharge, or a combination of these, in children with cancer and febrile neutropenia. We searched the Cochrane Central Register of Controlled Trials (2015, issue 11), MEDLINE/PubMed (from 1945 to December 2015), EMBASE/Ovid (from 1980 to December 2015), the reference lists of relevant articles and review articles, and various conference proceedings (dependent on availability from 2005 to 2010 to 2013 to 2015). We scanned the International Standard Randomised Controlled Trials Number (ISRCTN) Register, the National Institute of Health Register for ongoing trials, and the World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP) on 9 January 2016. We included all randomized controlled trials and controlled clinical trials in which children with cancer and febrile neutropenia were divided in groups with different times of discharge. We used standard methods of Cochrane and its Childhood Cancer Group. Two independent review authors performed study selection, data extraction, and risk of bias assessment. We entered data extracted from the included studies into Review Manager 5 and undertook analyses according to the guidelines of the Cochrane Handbook for Systematic Reviews of Interventions. We included two randomized controlled trials assessing very early, early, non-early (or a combination of these) discharge in children with cancer and febrile neutropenia. We graded the evidence as low quality; we downgraded for risk of bias and imprecision. One study, Santolaya 2004, consisted of 149 randomized low-risk episodes and compared early discharge (mean/median of less than five days) to non-early discharge (mean/median of five days or more). This study found no clear evidence of difference in treatment failure (risk ratio (RR) 0.91, 95% confidence interval (CI) 0.24 to 3.50, P value = 0.89 for rehospitalization or adjustment of antimicrobial treatment, or both; Fischer's exact P value = 0.477 for death) or duration of treatment (mean difference -0.3 days, 95% CI -1.22 to 0.62, P value = 0.52 for any antimicrobial treatment; mean difference -0.5 days, 95% CI -1.36 to 0.36, P value = 0.25 for intravenous antimicrobial treatment; mean difference 0.2 days, 95% CI -0.51 to 0.91, P value = 0.58 for oral antimicrobial treatment). Costs were lower in the early discharge group (mean difference USD -265, 95% CI USD -403.14 to USD -126.86, P value = 0.0002). The second included study, Brack 2012, consisted of 62 randomized low-risk episodes and compared very early discharge (mean/median of less than 24 hours) to early discharge (mean/median of less than five days). This study also found no clear evidence of difference in treatment failure (RR 0.54, 95% CI 0.15 to 1.89, P value = 0.34 for rehospitalization or adjustment of antimicrobial treatment (or both); Fischer's exact P value = 0.557 for death). Regarding duration of treatment, median duration of intravenous antimicrobial treatment was shorter in the very early discharge group (Wilcoxon's P value ≤ 0.001, stated in the study) and median duration of oral antimicrobial treatment was shorter in the early discharge group (Wilcoxon's P ≤ 0.001, stated in the study) as compared to one another. However, there was no clear evidence of difference in median duration of any antimicrobial treatment (Wilcoxon's P value = 0.34, stated in the study). Costs were not assessed in this study. Neither of the included studies assessed quality of life. Meta-analysis was not possible as the included studies assessed different discharge moments and used different risk stratification models. Very limited data were available regarding the safety of early discharge compared to non-early discharge from in-hospital treatment in children with cancer and febrile neutropenia and a low risk for invasive infection. The absence of clear evidence of differences in both studies could be due to lack of power.Evidently, there are still profound gaps regarding very early and early discharge in children with cancer and febrile neutropenia. Future studies that assess this subject should have a large sample size and aim to establish uniform and objective criteria regarding the identification of a low-risk febrile neutropenic episode.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 240 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 1 <1%
Unknown 239 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 33 14%
Student > Bachelor 23 10%
Student > Ph. D. Student 20 8%
Researcher 19 8%
Other 18 8%
Other 46 19%
Unknown 81 34%
Readers by discipline Count As %
Medicine and Dentistry 80 33%
Nursing and Health Professions 22 9%
Pharmacology, Toxicology and Pharmaceutical Science 11 5%
Psychology 6 3%
Economics, Econometrics and Finance 5 2%
Other 29 12%
Unknown 87 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 September 2016.
All research outputs
#2,979,118
of 25,457,297 outputs
Outputs from Cochrane database of systematic reviews
#5,577
of 11,499 outputs
Outputs of similar age
#44,766
of 313,174 outputs
Outputs of similar age from Cochrane database of systematic reviews
#128
of 234 outputs
Altmetric has tracked 25,457,297 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,499 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.0. This one has gotten more attention than average, scoring higher than 52% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 313,174 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 234 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.