Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 1,248

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Clinical Ascertainment of Health Outcomes Among Adults Treated for Childhood Cancer

Open access
Hudson, Melissa M., Ness, Kirsten K., Gurney, James G., Mulrooney, Daniel A., Chemaitilly, Wassim, Krull, Kevin R., Green, Daniel M., Armstrong, Gregory T., Nottage, Kerri A., Jones, Kendra E., Sklar, Charles A., Srivastava, Deo Kumar, Robison, Leslie L.·2013·JAMA
DOI 10.1001/jama.2013.6296
Open this paper in CoChat — free account

Abstract

IMPORTANCE: Adult survivors of childhood cancer are known to be at risk for treatment-related adverse health outcomes. A large population of survivors has not been evaluated using a comprehensive systematic clinical assessment to determine the prevalence of chronic health conditions. OBJECTIVE: To determine the prevalence of adverse health outcomes and the proportion associated with treatment-related exposures in a large cohort of adult survivors of childhood cancer. DESIGN, SETTING, AND PARTICIPANTS: Presence of health outcomes was ascertained using systematic exposure-based medical assessments among 1713 adult (median age, 32 [range, 18-60] years) survivors of childhood cancer (median time from diagnosis, 25 [range, 10-47] years) enrolled in the St Jude Lifetime Cohort Study since October 1, 2007, and undergoing follow-up through October 31, 2012. MAIN OUTCOMES AND MEASURES: Age-specific cumulative prevalence of adverse outcomes by organ system. RESULTS: Using clinical criteria, the crude prevalence of adverse health outcomes was highest for pulmonary (abnormal pulmonary function, 65.2% [95% CI, 60.4%-69.8%]), auditory (hearing loss, 62.1% [95% CI, 55.8%-68.2%]), endocrine or reproductive (any endocrine condition, such as hypothalamic-pituitary axis disorders and male germ cell dysfunction, 62.0% [95% CI, 59.5%-64.6%]), cardiac (any cardiac condition, such as heart valve disorders, 56.4% [95% CI, 53.5%-59.2%]), and neurocognitive (neurocognitive impairment, 48.0% [95% CI, 44.9%-51.0%]) function, whereas abnormalities involving hepatic (liver dysfunction, 13.0% [95% CI, 10.8%-15.3%]), skeletal (osteoporosis, 9.6% [95% CI, 8.0%-11.5%]), renal (kidney dysfunction, 5.0% [95% CI, 4.0%-6.3%]), and hematopoietic (abnormal blood cell counts, 3.0% [95% CI, 2.1%-3.9%]) function were less common. Among survivors at risk for adverse outcomes following specific cancer treatment modalities, the estimated cumulative prevalence at age 50 years was 21.6% (95% CI, 19.3%-23.9%) for cardiomyopathy, 83.5% (95% CI, 80.2%-86.8%) for heart valve disorder, 81.3% (95% CI, 77.6%-85.0%) for pulmonary dysfunction, 76.8% (95% CI, 73.6%-80.0%) for pituitary dysfunction, 86.5% (95% CI, 82.3%-90.7%) for hearing loss, 31.9% (95% CI, 28.0%-35.8%) for primary ovarian failure, 31.1% (95% CI, 27.3%-34.9%) for Leydig cell failure, and 40.9% (95% CI, 32.0%-49.8%) for breast cancer. At age 45 years, the estimated cumulative prevalence of any chronic health condition was 95.5% (95% CI, 94.8%-98.6%) and 80.5% (95% CI, 73.0%-86.6%) for a serious/disabling or life-threatening chronic condition. CONCLUSIONS AND RELEVANCE: Among adult survivors of childhood cancer, the prevalence of adverse health outcomes was high, and a systematic risk-based medical assessment identified a substantial number of previously undiagnosed problems that are more prevalent in an older population. These findings underscore the importance of ongoing health monitoring for adults who survive childhood cancer.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1001/jama.2013.6296

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 1 references

Cited by

Metadata

Authors
Hudson, M. M., Ness, K. K., Gurney, J. G., Mulrooney, D. A., Chemaitilly, W., Krull, K. R., Green, D. M., Armstrong, G. T., Nottage, K. A., Jones, K. E., Sklar, C. A., Srivastava, D. K., & Robison, L. L.
Venue
JAMA
Publisher
American Medical Association (AMA)
Published
2013-06-12
Volume
309
Issue
22
Pages
2371
ISSN
  • 0002-9955 (ISSN-L)
  • 0098-7484
DOI
10.1001/jama.2013.6296
OpenAlex
W2014432477
Cited by
1,248
References
1
FWCI
78.83
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.