The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Reducing Mortality from Colorectal Cancer by Screening for Fecal Occult Blood
Open accessAbstract
BACKGROUND: Although tests for occult blood in the feces are widely used to screen for colorectal cancers, there is no conclusive evidence that they reduce mortality from this cause. We evaluated a fecal occult-blood test in a randomized trial and documented its effectiveness. METHODS: We randomly assigned 46,551 participants 50 to 80 years of age to screening for colorectal cancer once a year, to screening every two years, or to a control group. Participants who were screened submitted six guaiac-impregnated paper slides with two smears from each of three consecutive stools. About 83 percent of the slides were rehydrated. Participants who tested positive underwent a diagnostic evaluation that included colonoscopy. Vital status was ascertained for all study participants during 13 years of follow-up. A committee determined causes of death. A single pathologist determined the stage of each tissue specimen. Differences in mortality from colorectal cancer, the primary study end point, were monitored with the sequential log-rank statistic. RESULTS: The 13-year cumulative mortality per 1000 from colorectal cancer was 5.88 in the annually screened group (95 percent confidence interval, 4.61 to 7.15), 8.33 in the biennially screened group (95 percent confidence interval, 6.82 to 9.84), and 8.83 in the control group (95 percent confidence interval, 7.26 to 10.40). The rate in the annually screened group, but not in the biennially screened group, was significantly lower than that in the control group. Reduced mortality in the annually screened group was accompanied by improved survival in those with colorectal cancer and a shift to detection at an earlier stage of cancer. CONCLUSIONS: Annual fecal occult-blood testing with rehydration of the samples decreased the 13-year cumulative mortality from colorectal cancer by 33 percent.
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
Regression Models and Life-Tables
Cox, D. R. (1972) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1972.tb00899.x · Cited by 39,793
Maximum utilization of the life table method in analyzing survival
Cutler, S. J., & Ederer, F. (1958) · Journal of Chronic Diseases · doi:10.1016/0021-9681(58)90126-7 · Cited by 2,870
Self-citationDiscrete sequential boundaries for clinical trials
GORDON LAN, K. K., & DEMETS, D. L. (1983) · Biometrika · doi:10.1093/biomet/70.3.659 · Cited by 2,310
Cited by
Global patterns of cancer incidence and mortality rates and trends
Jemal, A., Center, M. M., DeSantis, C., & Ward, E. M. (2010) · Cancer Epidemiology, Biomarkers & Prevention · doi:10.1158/1055-9965.epi-10-0437 · Cited by 2,778
WINAWER, S. (2003) · Gastroenterology · doi:10.1053/gast.2003.50044 · Cited by 2,143
Edwards, B. K., Ward, E., Kohler, B. A., Eheman, C., Zauber, A. G., Anderson, R. N., Jemal, A., Schymura, M. J., Lansdorp‐Vogelaar, I., Seeff, L. C., et al. (2010) · Cancer · doi:10.1002/cncr.24760 · Cited by 2,002
Lin, J. S., Bowles, E. J. A., Williams, S. B., & Morrison, C. C. (2017) · JAMA · doi:10.1001/jama.2017.0562 · Cited by 1,082
Cancer Screening in Elderly Patients: A Framework for Individualized Decision Making
Walter, L. C., & Covinsky, K. E. (2001) · JAMA · doi:10.1001/jama.285.21.2750 · Cited by 1,003
Burke, W. (1997) · JAMA · doi:10.1001/jama.277.12.997 · Cited by 955
Meta-analyses of colorectal cancer risk factors
Johnson, C. M., Wei, C., Ensor, J. E., Smolenski, D. J., Amos, C. I., Levin, B., & Berry, D. A. (2013) · Cancer Causes & Control · doi:10.1007/s10552-013-0201-5 · Cited by 779
Pignone, M., Rich, M., Teutsch, S. M., Berg, A. O., & Lohr, K. N. (2002) · Annals of Internal Medicine · doi:10.7326/0003-4819-137-2-200207160-00015 · Cited by 741
Interventions That Increase Use of Adult Immunization and Cancer Screening Services: A Meta-Analysis
Stone, E. G., Morton, S. C., Hulscher, M. E., Maglione, M. A., Roth, E. A., Grimshaw, J. M., Mittman, B. S., Rubenstein, L. V., Rubenstein, L. Z., & Shekelle, P. G. (2002) · Annals of Internal Medicine · doi:10.7326/0003-4819-136-9-200205070-00006 · Cited by 613
Improving Preventive Care by Prompting Physicians
Balas, E. A. (2000) · Archives of Internal Medicine · doi:10.1001/archinte.160.3.301 · Cited by 385
Genetic progression in the pancreatic ducts
Hruban, R. H., Wilentz, R. E., & Kern, S. E. (2000) · The American Journal of Pathology · doi:10.1016/s0002-9440(10)65054-7 · Cited by 373
Park, D. I., Ryu, S., Kim, Y.-H., Lee, S.-H., Lee, C. K., Eun, C. S., & Han, D. S. (2010) · American Journal of Gastroenterology · doi:10.1038/ajg.2010.179 · Cited by 318
Zorzi, M., Fedeli, U., Schievano, E., Bovo, E., Guzzinati, S., Baracco, S., Fedato, C., Saugo, M., & Dei Tos, A. P. (2015) · Gut · doi:10.1136/gutjnl-2014-307508 · Cited by 302
Chiu, H., Chen, S. L., Yen, A. M., Chiu, S. Y., Fann, J. C., Lee, Y., Pan, S., Wu, M., Liao, C., Chen, H., et al. (2015) · Cancer · doi:10.1002/cncr.29462 · Cited by 281
Screening for Pancreatic Cancer: Why, How, and Who?
Poruk, K. E., Firpo, M. A., Adler, D. G., & Mulvihill, S. J. (2013) · Annals of Surgery · doi:10.1097/sla.0b013e31825ffbfb · Cited by 249
Occult Gastrointestinal Bleeding
Rockey, D. C. (1999) · New England Journal of Medicine · doi:10.1056/nejm199907013410107 · Cited by 212
Eliminating racial disparities in colorectal cancer in the real world: It took a village
Grubbs, S. S., Polite, B. N., Carney, J., Bowser, W., Rogers, J., Katurakes, N., Hess, P., & Paskett, E. D. (2013) · Journal of Clinical Oncology · doi:10.1200/jco.2012.47.8412 · Cited by 201
Colonoscopy screening and surveillance guidelines
Saito, Y., Oka, S., Kawamura, T., Shimoda, R., Sekiguchi, M., Tamai, N., Hotta, K., Matsuda, T., Misawa, M., Tanaka, S., et al. (2021) · Digestive Endoscopy · doi:10.1111/den.13972 · Cited by 170
Impact of Screening Program on Incidence of Colorectal Cancer: A Cohort Study in Italy
Rossi, P. G., Vicentini, M., Sacchettini, C., Di Felice, E., Caroli, S., Ferrari, F., Mangone, L., Pezzarossi, A., Roncaglia, F., Campari, C., et al. (2015) · American Journal of Gastroenterology · doi:10.1038/ajg.2015.240 · Cited by 143
Yabroff, K. R., Washington, K. S., Leader, A., Neilson, E., & Mandelblatt, J. (2003) · Medical Care Research and Review · doi:10.1177/1077558703254698 · Cited by 137
Patient-provider Sex and Race/Ethnicity Concordance: A National Study of Healthcare and Outcomes
Jerant, A., Bertakis, K. D., Fenton, J. J., Tancredi, D. J., & Franks, P. (2011) · Medical Care · doi:10.1097/mlr.0b013e31823688ee · Cited by 93
From the Bench to Public Health
Neter, E., Stein, N., Barnett-Griness, O., Rennert, G., & Hagoel, L. (2014) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2013.11.008 · Cited by 90
Grosu, S., Wesp, P., Graser, A., Maurus, S., Schulz, C., Knösel, T., Cyran, C. C., Ricke, J., Ingrisch, M., & Kazmierczak, P. M. (2021) · Radiology · doi:10.1148/radiol.2021202363 · Cited by 75
Detection of Upper Gastrointestinal Blood With Fecal Occult Blood Tests
Rockey, D. C., Auslander, A., & Greenberg, P. D. (1999) · American Journal of Gastroenterology · doi:10.1111/j.1572-0241.1999.855_r.x · Cited by 60
Creating an mHealth App for Colorectal Cancer Screening: User-Centered Design Approach
Griffin, L., Lee, D., Jaisle, A., Carek, P., George, T., Laber, E., Lok, B., Modave, F., Paskett, E., & Krieger, J. (2019) · JMIR Human Factors · doi:10.2196/12700 · Cited by 57
Novel Approach to Fecal Occult Blood Testing by Assay of Erythrocyte-Specific microRNA Markers
Wu, C. W., Cao, X., Berger, C. K., Foote, P. H., Mahoney, D. W., Simonson, J. A., Anderson, B. W., Yab, T. C., Taylor, W. R., Boardman, L. A., et al. (2017) · Digestive Diseases and Sciences · doi:10.1007/s10620-017-4627-6 · Cited by 37
Harewood, G. C., McConnell, J. P., Harrington, J. J., Mahoney, D. W., & Ahlquist, D. A. (2002) · Mayo Clinic Proceedings · doi:10.4065/77.1.23 · Cited by 29
Moustaqim‐Barrette, A., Spinelli, J. J., Kazanjian, A., & Dummer, T. J. B. (2019) · Cancer Medicine · doi:10.1002/cam4.2026 · Cited by 16
Metadata
- Authors
- Mandel, J. S., Bond, J. H., Church, T. R., Snover, D. C., Bradley, G. M., Schuman, L. M., & Ederer, F.
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 1993-05-13
- Volume
- 328
- Issue
- 19
- Pages
- 1365-1371
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W2046686567
- Cited by
- 3,229
- References
- 3
- FWCI
- 27.20
- Type
- journal article
- Language
- en
- Open access
- bronze
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.
