Evidence map›Paper›PMID 22180128›Full record

Trial reportPediatric blood & cancer2012

Hospitalization rates among survivors of childhood cancer in the Childhood Cancer Survivor Study cohort.

Beth A Kurt, Vikki G Nolan, Kirsten K Ness, Joseph P Neglia, Jean M Tersak, Melissa M Hudson, Gregory T Armstrong, Raymond J Hutchinson, Wendy M Leisenring, Kevin C Oeffinger and 2 more

Registry-linked trialAbstract readClinical TrialComparative StudyMulticenter Study
In one paragraph

Trial report in Pediatric blood & cancer, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05527392 (Assessing the Effect of Virtual Navigation Interventions to Improve Health Insurance Literacy and Decrease Financial Burden), which is not on this map. Cited by 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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.

NCT05527392 naactive not recruitingnot on this mapstarted 2023, after this paper: background citation

Assessing the Effect of Virtual Navigation Interventions to Improve Health Insurance Literacy and Decrease Financial Burden: A Childhood Cancer Survivor Study Randomized Trial (HINTII)

TypeinterventionalSponsorMassachusetts General HospitalRan2023 to 2027Enrolled529ConditionsChildhood Cancer SurvivorsArmsHealth Insurance Navigation Tools Program
3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  11. Excess healthcare expenditure in adults treated for solid cancer in childhood: a cohort study in France.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
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  13. Accumulation of Chronic Disease Among Survivors of Childhood Cancer Predicts Early Mortality.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2023
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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

12 authors.

Beth A KurtDivision of Pediatric Hematology, Oncology and BMT, Helen DeVos Children's Hospital, Grand Rapids, Michigan 49503, USA. beth.kurt@devoschildrens.org
Vikki G Nolan
Kirsten K Ness
Joseph P Neglia
Jean M Tersak
Melissa M Hudson
Gregory T Armstrong
Raymond J Hutchinson
Wendy M Leisenring
Kevin C Oeffinger
Leslie L Robison
Mukta Arora

Funding

Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI CHARLES ROBERTS · 1985 to 2026
$166.9M
Mach-LETSGO: Machine-LEarning of Treatment, Survey, and Genetics towards Obtaining Correct Classification of Chronic Conditions in Adult Survivors in the Childhood Cancer Survivor Study - CCSS SupplU24CA055727 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Gregory Armstrong · 1999 to 2026
$96.7M
CHILDHOOD CANCER SURVIVOR STUDYU01CA055727 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ROBISON, LESLIE L · 1993 to 1999
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NCI NIH HHS CA 021765NCI NIH HHS CA 55727NCI NIH HHS P30 CA021765NCI NIH HHS U24 CA055727
6 · The paper itself

Abstract

backgroundChronic health conditions are common among long-term childhood cancer survivors, but hospitalization rates have not been reported. The objective of this study was to determine overall and cause-specific hospitalization rates among survivors of childhood cancer and compare rates to the U.S. population. PROCEDURE: The Childhood Cancer Survivor Study (CCSS) is a retrospective cohort of 5+ year survivors of childhood malignancies treated at 26 participating centers. Self-reported hospitalizations from 10,366 survivors (diagnosed 1970-1986) were compared to U.S. population rates using age- and sex-stratified standardized incidence ratios (SIRs). Reasons for hospitalization were evaluated and associations between demographic, cancer and treatment-related risk factors with hospitalization were investigated.

resultsSurvivors were, on average, 20.9 years from cancer diagnosis (SD: 4.6, range: 13-32) and 28.6 years of age (SD: 7.7, range: 13-51). Survivor hospitalization rates were 1.6 times the U.S. population (95% CI: 1.6; 1.7). Increased hospitalization rates were noted irrespective of gender, age at follow-up and cancer diagnosis, with highest SIRs noted among male (SIR = 2.6, 95% CI: 2.2; 3.0) and female (SIR = 2.7, 95% CI: 2.4; 3.1) survivors aged 45-54. Female gender, an existing chronic health condition and/or a second neoplasm, and prior treatment with radiation were associated with an increased risk of non-obstetrical hospitalization.

conclusionsSurvivors of childhood cancer demonstrate substantially higher hospitalization rates. Additional research is needed to further quantify the healthcare utilization and economic impact of treatment-related complications as this population ages.

Indexed as

HospitalizationSurvivorsAdolescentAdultAge FactorsChildFemaleFollow-Up StudiesHumansIncidenceMaleMiddle AgedNeoplasmsRetrospective StudiesSex FactorsTime Factors

Identifiers

PMID22180128
PMCPMC3359936

What OpenQuestion holds

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Registered trials

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.