Cited by 414

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

Mortality Rates and Age at Death from Sickle Cell Disease: U.S., 1979–2005

Lanzkron, Sophie, Carroll, C. Patrick, Haywood, Carlton·2013·Public Health Reports®

Abstract

Objectives.: Improvements in survival for children with sickle cell disease (SCD) during the last 30 years have been well established. Whether similar improvements for adults with the disease have occurred is unknown. We investigated mortality rates for children and adults with SCD. Methods.: We used the National Center for Health Statistics multiple-cause-of-death files to examine age at death and calculate mortality rates from 1979 to 2005. We examined trends in mortality rates using negative binomial regression, and we examined age at death using t-tests and linear regression. Results.: We identified 16,654 sickle cell-related deaths. Mean age at death was significantly different for males (33.4 years, 95% confidence interval [CI] 33.0, 33.7) than for females (36.9 years, 95% CI 36.5, 37.4). In a regression model controlling for gender, the mean age at death increased by 0.36 years for each year of the study. The median age at death in 2005 was 42 years for females and 38 years for males. The overall mortality rate increased 0.7% ( p<0.001) each year during the time period studied. The adult (>19 years of age) mortality rate increased by 1% ( p<0.001) each year during the time period studied. The pediatric mortality rate decreased by 3% ( p<0.001) each year during the time period studied. Conclusions.: These data confirm prior findings of a significant decrease in mortality for children with SCD The mortality rate for adults appears to have increased during the same time period It seems unlikely that this increase is due merely to an influx of younger patients surviving to adulthood and may reflect a lack of access to high-quality care for adults with SCD.

Overview

Integrity signals

Registry

Crossref · 10.1177/003335491312800206

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 1 references

Research works printed but not linked: 21

  1. 10.1016/j.amepre.2009.12.022 · DOI
  2. Brousseau DC, 2010, Am J Hematol, 85, 77, 10.1002/ajh.21570 · DOI
  3. 10.1016/j.jpeds.2008.09.052 · DOI
  4. 10.1182/blood-2009-07-233700 · DOI
  5. Steinberg MH, 2010, Am J Hematol, 85, 403, 10.1002/ajh.21699 · DOI · Paper page
  6. 10.1182/blood-2009-05-221333 · DOI · Paper page
  7. Brawley OW, 2008, NIH Consens State Sci Statements, 25, 1
  8. 10.1097/01.md.0000189089.45003.52 · DOI · Paper page
  9. 10.1111/j.1526-4637.2011.01134.x · DOI · Paper page
  10. Long JS. Regression models for categorical dependent variables using Stata. 2nd ed. College Station (TX): Stata Press; 2006.
  11. StataCorp., 2007, Stata®: Release 10.0
  12. 10.1542/peds.2007-2875 · DOI
  13. National Center for Health Statistics (US), 2011, Health, United States, 2010: with special feature on death and dying
  14. 10.1001/jama.289.13.1645 · DOI
  15. 10.1002/ajh.20703 · DOI
  16. 10.1001/jama.2010.378 · DOI
  17. 10.1002/ajh.20336 · DOI
  18. 10.1002/ajh.10305 · DOI
  19. 10.1186/bcr1266 · DOI
  20. Frempong T, 2007, Conn Med, 71, 9
  21. 10.1182/blood-2002-05-1453 · DOI

Cited by

Sorted by citations

Metadata

Authors
Lanzkron, S., Carroll, C. P., & Haywood, C.
Affiliations
  • Johns Hopkins School of Medicine, Department of Medicine, Baltimore, MD
  • Johns Hopkins School of Medicine, Department of Psychiatry and Behavioral Sciences, Baltimore, MD
Venue
Public Health Reports®
Published
2013-03
Volume
128
Issue
2
Pages
110-116
ISSN
  • 0033-3549
  • 1468-2877
Cited by
414
References
1
Language
en

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