Evidence map›Paper›PMID 32427994›Full record

ArticlePloS one2020

A detailed insight in the high risks of hospitalizations in long-term childhood cancer survivors-A Dutch LATER linkage study.

Nina Streefkerk, Wim J E Tissing, Joke C Korevaar, Eline van Dulmen-den Broeder, Dorine Bresters, Margriet van der Heiden-van der Loo, Marry M van de Heuvel-Eibrink, Flora E Van Leeuwen, Jacqueline Loonen, Helena H J van der Pal and 6 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.2field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 23 citations in OpenAlex.

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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

16 authors at 8 institutions in 1 country.

Nina StreefkerkPrincess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.ORCID 0000-0003-3758-7434
Wim J E TissingPrincess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.
Joke C KorevaarNetherlands Institute for Health Services Research, Utrecht, The Netherlands.
Eline van Dulmen-den BroederPrincess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.
Dorine BrestersPrincess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.
Margriet van der Heiden-van der LooDutch Childhood Oncology Group, Utrecht, The Netherlands.
Marry M van de Heuvel-EibrinkPrincess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.
Flora E Van LeeuwenDepartment of Epidemiology and Biostatistics, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Jacqueline LoonenDepartment of Hematology, Radboud University Medical Center, Nijmegen, The Netherlands.
Helena H J van der PalPrincess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.
Cecile M RonckersPrincess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.
A Brigitta VersluysPrincess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.
Andrica C H de VriesPrincess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.
Elizabeth A M FeijenPrincess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.
Leontine C M KremerPrincess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.
Dutch LATER Study Group
Princess Máxima Center · NLEmma Kinderziekenhuis · NLNetherlands Institute for Health Services Research · NLRadboud University Nijmegen · NLStichting Kinderoncologie Nederland · NLThe Netherlands Cancer Institute · NLUniversity Medical Center Groningen · NLUniversity Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInsight in hospitalizations in long-term childhood cancer survivors (CCS) is useful to understand the impact of long-term morbidity. We aimed to investigate hospitalization rates and underlying types of diagnoses in CCS compared to matched controls, and to investigate the determinants.

methodsWe linked 5,650 five-year CCS from the Dutch nationwide Dutch LATER cohort and 109,605 age- and sex-matched controls to the Dutch Hospital Discharge register, which contained detailed information on inpatient hospitalizations from 1995-2016. Relative hospitalization rates (RHRs) were calculated using a Poisson regression model. Adjusting for multiple hospitalizations per person via a Poisson model for generalized estimated equations, we investigated determinants for hospitalizations for all types of underlying diagnoses among CCS.

resultsCCS were twice as likely to be hospitalized as reference persons (hospitalization rate 178 and 78 per 1,000 person-years respectively; RHR 2.0, 95% confidence interval (CI) 1.9-2.2). Although CCS had more hospitalizations for 17 types of underlying diagnoses, they were especially more likely to be hospitalized for endocrine conditions (RHR: 6.0, 95% CI 4.6-7.7), subsequent neoplasms (RHR: 5.6, 95% CI 4.6-6.7) and symptoms without underlying diagnoses (RHR: 5.2, 95% CI 4.6-5.8). For those types of underlying diagnoses, female sex and radiotherapy were determinants.

conclusionThis study provides new insights in the high risk of hospitalizations for many types of underlying diagnoses in CCS and treatment related determinants. CCS are especially at high risk for hospitalizations for endocrine conditions, subsequent neoplasms and symptoms without an underlying diagnosis. This new knowledge is important for survivorship care and to identify possible preventable hospitalizations among CCS.

Indexed as

HospitalizationAdolescentCancer SurvivorsChildChild, PreschoolFemaleHumansInfantInfant, NewbornMaleMultivariate AnalysisNetherlandsRisk FactorsYoung Adult

Identifiers

PMID32427994
PMCPMC7236987
OpenAlexW3028314233

What OpenQuestion holds

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LicenceCC BY
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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.