The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
Cancer Surveillance Series: Non-Hodgkin's Lymphoma Incidence by Histologic Subtype in the United States From 1978 Through 1995
Abstract
BACKGROUND: Clinical investigations have shown prognostic heterogeneity within the non-Hodgkin's lymphomas (NHLs) according to histology, but few descriptive studies have considered NHLs by subgroup. Our purpose is to assess the demographic patterns and any notable increases in population-based rates of different histologic subgroups of NHL. METHODS: Using data collected by the Surveillance, Epidemiology, and End Results Program of the National Cancer Institute, we calculated incidence rates for the major clinicopathologic categories of NHL by age, race, sex, geographic area, and time period. RESULTS: Among the 60 057 NHL cases diagnosed during the period from 1978 through 1995, total incidence (per 100 000 person-years) was 17.1 and 11.5 among white males and females, respectively, and 12.6 and 7.4 among black males and females, respectively. However, rates for follicular NHLs were two to three times greater among whites than among blacks, with little sex variation. Blacks demonstrated much higher incidence than whites for peripheral T-cell NHL, with the incidence rates higher in males than in females. For other NHL subgroups, the incidence rates for persons less than 60 years of age were generally higher among males than among females, with little racial difference; at older ages, the rates were higher among whites than among blacks, with little sex difference. High-grade NHL was the most rapidly rising subtype, particularly among males. Follicular NHL increased more rapidly in black males than in the other three race/sex groups. Overall, the broad categories of small lymphocytic, follicular, diffuse, high-grade, and peripheral T-cell NHL emerged as distinct entities with specific age, sex, racial, temporal, and geographic variations in rates. CONCLUSIONS: Findings from our large, population-based study reveal differing demographic patterns and incidence trends according to histologic group. Future descriptive and analytic investigations should evaluate NHL risks according to subtype, as defined by histology and new classification criteria.
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.
Integrity signals
Registry
Cites
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.
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
Harris, N., Jaffe, E., Stein, H., Banks, P., Chan, J., Cleary, M., Delsol, G., De Wolf- Peeters, C., Falini, B., & Gatter, K. (1994) · Blood · doi:10.1182/blood.v84.5.1361.1361 · Cited by 6,327
Greenlee, R. T., Murray, T., Bolden, S., & Wingo, P. A. (2000) · CA: A Cancer Journal for Clinicians · doi:10.3322/canjclin.50.1.7 · Cited by 3,850
International Classification of Diseases for Oncology
National Cancer Institute (2020) · Definitions · doi:10.32388/1bjeus · Cited by 3,805
The Non-Hodgkin's Lymphoma Pathologic Classification Project (1982) · Cancer · doi:10.1002/1097-0142(19820515)49:10<2112::aid-cncr2820491024>3.0.co;2-2 · Cited by 3,059
The Prevalence of Hepatitis C Virus Infection in the United States, 1988 through 1994
Alter, M. J., Kruszon-Moran, D., Nainan, O. V., McQuillan, G. M., Gao, F., Moyer, L. A., Kaslow, R. A., & Margolis, H. S. (1999) · New England Journal of Medicine · doi:10.1056/nejm199908193410802 · Cited by 2,992
The Non-Hodgkin's Lymphoma Classification Project (1997) · Blood · doi:10.1182/blood.v89.11.3909 · Cited by 2,461
Comparative analysis of two rates
Miettinen, O., & Nurminen, M. (1985) · Statistics in Medicine · doi:10.1002/sim.4780040211 · Cited by 1,110
Increased Risk of Lymphoma in Sicca Syndrome
KASSAN, S. S., THOMAS, T. L., MOUTSOPOULOS, H. M., HOOVER, R., KIMBERLY, R. P., BUDMAN, D. R., COSTA, J., DECKER, J. L., & CHUSED, T. M. (1978) · Annals of Internal Medicine · doi:10.7326/0003-4819-89-6-888 · Cited by 1,012
Transfusion Medicine — Blood Transfusion
Goodnough, L. T., Brecher, M. E., Kanter, M. H., & AuBuchon, J. P. (1999) · New England Journal of Medicine · doi:10.1056/nejm199902113400606 · Cited by 880
Trends in Cancer Incidence, Survival and Mortality
Estève, J., & Coleman, M. (2009) · Husband and Reznek's Imaging in Oncology, Third Edition · doi:10.3109/9780415874984-2 · Cited by 761
Cited by
2016 US lymphoid malignancy statistics by World Health Organization subtypes
Teras, L. R., DeSantis, C. E., Cerhan, J. R., Morton, L. M., Jemal, A., & Flowers, C. R. (2016) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21357 · Cited by 1,125
Cutaneous lymphoma incidence patterns in the United States: a population-based study of 3884 cases
Bradford, P. T., Devesa, S. S., Anderson, W. F., & Toro, J. R. (2009) · Blood · doi:10.1182/blood-2008-10-184168 · Cited by 709
Self-citationThe epidemiology of non-Hodgkin's lymphoma
Fisher, S. G., & Fisher, R. I. (2004) · Oncogene · doi:10.1038/sj.onc.1207843 · Cited by 425
Metadata
- Authors
- Groves, F. D., Linet, M. S., Travis, L. B., & Devesa, S. S.
- Venue
- JNCI Journal of the National Cancer Institute
- Publisher
- Oxford University Press (OUP)
- Published
- 2000-08-02
- Volume
- 92
- Issue
- 15
- Pages
- 1240-1251
- ISSN
- 0027-8874 (ISSN-L)
- 1460-2105
- OpenAlex
- W1999080103
- Cited by
- 526
- References
- 69
- FWCI
- 9.35
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Cancer Surveillance Series: Non-Hodgkin's Lymphoma Incidence by Histologic Subtype in the United States From 1978 Through 1995. https://app.cochat.ai/papers/10.1093/jnci/92.15.1240
- The paper
- Groves, F. D., Linet, M. S., Travis, L. B., & Devesa, S. S. (2000). Cancer Surveillance Series: Non-Hodgkin's Lymphoma Incidence by Histologic Subtype in the United States From 1978 Through 1995. JNCI Journal of the National Cancer Institute. https://doi.org/10.1093/jnci/92.15.1240
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.