The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
The Nottingham prognostic index in primary breast 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.
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
ELSTON, C. W., & ELLIS, I. O. (1991) · Histopathology · doi:10.1111/j.1365-2559.1991.tb00229.x · Cited by 6,175
Self-citationRelation of tumor size, lymph node status, and survival in 24,740 breast cancer cases
Carter, C. L., Allen, C., & Henson, D. E. (1989) · Cancer · doi:10.1002/1097-0142(19890101)63:1<181::aid-cncr2820630129>3.0.co;2-h · Cited by 2,288
Fisher, B., Bauer, M., Margolese, R., Poisson, R., Pilch, Y., Redmond, C., Fisher, E., Wolmark, N., Deutsch, M., Montague, E., et al. (1985) · New England Journal of Medicine · doi:10.1056/nejm198503143121101 · Cited by 2,194
Systemic treatment of early breast cancer by hormonal, cytotoxic, or immune therapy
Early Breast Cancer Trialist's Collaborative Group (1992) · The Lancet · doi:10.1016/0140-6736(92)90997-h · Cited by 2,182
Fisher, B., Redmond, C., Fisher, E. R., Bauer, M., Wolmark, N., Wickerham, D. L., Deutsch, M., Montague, E., Margolese, R., & Foster, R. (1985) · New England Journal of Medicine · doi:10.1056/nejm198503143121102 · Cited by 1,376
Fisher, B., Bauer, M., Wickerham, D. L., Redmond, C. K., Fisher, E. R., Cruz, A. B., Foster, R., Gardner, B., Lerner, H., Margolese, R., et al. (1983) · Cancer · doi:10.1002/1097-0142(19831101)52:9<1551::aid-cncr2820520902>3.0.co;2-3 · Cited by 1,034
A prognostic index in primary breast cancer
Haybittle, J. L., Blamey, R. W., Elston, C. W., Johnson, J., Doyle, P. J., Campbell, F. C., Nicholson, R. I., & Griffiths, K. (1982) · British Journal of Cancer · doi:10.1038/bjc.1982.62 · Cited by 699
Self-citationNemoto, T., Vana, J., Bedwani, R. N., Baker, H. W., McGregor, F. H., & Murphy, G. P. (1980) · Cancer · doi:10.1002/1097-0142(19800615)45:12<2917::aid-cncr2820451203>3.0.co;2-m · Cited by 661
Fourquet, A., Campana, F., Zafrani, B., Mosseri, V., Vielh, P., Durand, J.-C., & Vilcoq, J. R. (1989) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/0360-3016(89)90057-6 · Cited by 509
ELLIS, I. O., GALEA, M., BROUGHTON, N., LOCKER, A., BLAMEY, R. W., & ELSTON, C. W. (1992) · Histopathology · doi:10.1111/j.1365-2559.1992.tb01032.x · Cited by 487
Self-citation
Cited by
Collins, G. S., Reitsma, J. B., Altman, D. G., & Moons, K. G. M. (2015) · British Journal of Cancer · doi:10.1038/bjc.2014.639 · Cited by 3,293
Calculating the sample size required for developing a clinical prediction model
Riley, R. D., Ensor, J., Snell, K. I. E., Harrell, F. E., Martin, G. P., Reitsma, J. B., Moons, K. G. M., Collins, G., & van Smeden, M. (2020) · BMJ · doi:10.1136/bmj.m441 · Cited by 2,917
Ki67 Index, HER2 Status, and Prognosis of Patients With Luminal B Breast Cancer
Cheang, M. C. U., Chia, S. K., Voduc, D., Gao, D., Leung, S., Snider, J., Watson, M., Davies, S., Bernard, P. S., Parker, J. S., et al. (2009) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/djp082 · Cited by 2,249
Moons, K. G. M., de Groot, J. A. H., Bouwmeester, W., Vergouwe, Y., Mallett, S., Altman, D. G., Reitsma, J. B., & Collins, G. S. (2014) · PLoS Medicine · doi:10.1371/journal.pmed.1001744 · Cited by 2,018
“Prognostic models may involve models for individuals with a particular health condition, such as prediction of recurrence or death after diagnosis of breast cancer [8] or mortality after cardiac surgery [9], but also includes models for predicting the occurrence of future outcomes in apparently healthy individuals suc…”
BackgroundSotiriou, C., Wirapati, P., Loi, S., Harris, A., Fox, S., Smeds, J., Nordgren, H., Farmer, P., Praz, V., Haibe-Kains, B., et al. (2006) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/djj052 · Cited by 2,063
Collins, G. S., Reitsma, J. B., Altman, D. G., & Moons, K. (2015) · BMC Medicine · doi:10.1186/s12916-014-0241-z · Cited by 1,927
Pathological prognostic factors in breast cancer
Elston, C. (1999) · Critical Reviews in Oncology/Hematology · doi:10.1016/s1040-8428(99)00034-7 · Cited by 1,735
Self-citationPrognosis Research Strategy (PROGRESS) 3: Prognostic Model Research
Steyerberg, E. W., Moons, K. G. M., van der Windt, D. A., Hayden, J. A., Perel, P., Schroter, S., Riley, R. D., Hemingway, H., Altman, D. G., & for the PROGRESS Group (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001381 · Cited by 1,508
Riley, R. D., Snell, K. I., Ensor, J., Burke, D. L., Harrell Jr, F. E., Moons, K. G., & Collins, G. S. (2019) · Statistics in Medicine · doi:10.1002/sim.7992 · Cited by 1,409
Tumor-Infiltrating CD8+Lymphocytes Predict Clinical Outcome in Breast Cancer
Mahmoud, S. M. A., Paish, E. C., Powe, D. G., Macmillan, R. D., Grainge, M. J., Lee, A. H. S., Ellis, I. O., & Green, A. R. (2011) · Journal of Clinical Oncology · doi:10.1200/jco.2010.30.5037 · Cited by 1,367
Self-citationPrognosis and prognostic research: what, why, and how?
Moons, K. G. M., Royston, P., Vergouwe, Y., Grobbee, D. E., & Altman, D. G. (2009) · BMJ · doi:10.1136/bmj.b375 · Cited by 1,337
Prognostic markers in triple‐negative breast cancer
Rakha, E. A., El‐Sayed, M. E., Green, A. R., Lee, A. H. S., Robertson, J. F., & Ellis, I. O. (2007) · Cancer · doi:10.1002/cncr.22381 · Cited by 1,283
Self-citationRiley, R. D., Ensor, J., Snell, K. I. E., Debray, T. P. A., Altman, D. G., Moons, K. G. M., & Collins, G. S. (2016) · BMJ · doi:10.1136/bmj.i3140 · Cited by 585
Angell, H., & Galon, J. (2013) · Current Opinion in Immunology · doi:10.1016/j.coi.2013.03.004 · Cited by 574
survcomp: an R/Bioconductor package for performance assessment and comparison of survival models
Schröder, M. S., Culhane, A. C., Quackenbush, J., & Haibe-Kains, B. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr511 · Cited by 470
Collins, G. S., Reitsma, J. B., Altman, D. G., & Moons, K. G. M. (2015) · European Urology · doi:10.1016/j.eururo.2014.11.025 · Cited by 439
Classification and prognosis of invasive breast cancer: from morphology to molecular taxonomy
Schnitt, S. J. (2010) · Modern Pathology · doi:10.1038/modpathol.2010.33 · Cited by 419
Stuart-Harris, R., Caldas, C., Pinder, S. E., & Pharoah, P. (2008) · The Breast · doi:10.1016/j.breast.2008.02.002 · Cited by 431
Histological grading of breast carcinomas: A study of interobserver agreement
Robbins, P., Pinder, S., de Klerk, N., Dawkins, H., Harvey, J., Sterrett, G., Ellis, I., & Elston, C. (1995) · Human Pathology · doi:10.1016/0046-8177(95)90010-1 · Cited by 416
Self-citationE-cadherin expression in primary carcinomas of the breast and its distant metastases
Kowalski, P. J., Rubin, M. A., & Kleer, C. G. (2003) · Breast Cancer Research · doi:10.1186/bcr651 · Cited by 414
Collins, G. S., Reitsma, J. B., Altman, D. G., & Moons, K. G. M. (2015) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2014.11.010 · Cited by 324
Eliyatkin, N., Yalcin, E., Zengel, B., Aktaş, S., & Vardar, E. (2015) · Journal of Breast Health · doi:10.5152/tjbh.2015.1669 · Cited by 317
Rakha, E., Putti, T., Abd El‐Rehim, D., Paish, C., Green, A., Powe, D., Lee, A., Robertson, J., & Ellis, I. (2006) · The Journal of Pathology · doi:10.1002/path.1916 · Cited by 311
Self-citationRouzier, R., Pusztai, L., Delaloge, S., Gonzalez-Angulo, A. M., Andre, F., Hess, K. R., Buzdar, A. U., Garbay, J.-R., Spielmann, M., Mathieu, M.-C., et al. (2005) · Journal of Clinical Oncology · doi:10.1200/jco.2005.01.2898 · Cited by 286
The prognostic significance of lymphovascular invasion in invasive breast carcinoma
Rakha, E. A., Martin, S., Lee, A. H. S., Morgan, D., Pharoah, P. D. P., Hodi, Z., MacMillan, D., & Ellis, I. O. (2012) · Cancer · doi:10.1002/cncr.26711 · Cited by 271
Self-citationStudy of matrix metalloproteinases and their inhibitors in breast cancer
Vizoso, F. J., González, L. O., Corte, M. D., Rodríguez, J. C., Vázquez, J., Lamelas, M. L., Junquera, S., Merino, A. M., & García-Muñiz, J. L. (2007) · British Journal of Cancer · doi:10.1038/sj.bjc.6603666 · Cited by 271
Habashy, H. O., Powe, D. G., Staka, C. M., Rakha, E. A., Ball, G., Green, A. R., Aleskandarany, M., Paish, E. C., Douglas Macmillan, R., Nicholson, R. I., et al. (2010) · Breast Cancer Research and Treatment · doi:10.1007/s10549-009-0345-x · Cited by 236
Self-citationImproved breast cancer histological grading using deep learning
Wang, Y., Acs, B., Robertson, S., Liu, B., Solorzano, L., Wählby, C., Hartman, J., & Rantalainen, M. (2022) · Annals of Oncology · doi:10.1016/j.annonc.2021.09.007 · Cited by 211
Stability of clinical prediction models developed using statistical or machine learning methods
Riley, R. D., & Collins, G. S. (2023) · Biometrical Journal · doi:10.1002/bimj.202200302 · Cited by 211
Characterization of RhoC Expression in Benign and Malignant Breast Disease
Kleer, C. G., van Golen, K. L., Zhang, Y., Wu, Z.-F., Rubin, M. A., & Merajver, S. D. (2002) · The American Journal of Pathology · doi:10.1016/s0002-9440(10)64877-8 · Cited by 157
Avoiding common pitfalls in machine learning omic data science
Teschendorff, A. E. (2019) · Nature Materials · doi:10.1038/s41563-018-0241-z · Cited by 132
Campbell, E. J., Dachs, G. U., Morrin, H. R., Davey, V. C., Robinson, B. A., & Vissers, M. C. M. (2019) · BMC Cancer · doi:10.1186/s12885-019-5503-x · Cited by 63
Machine learning to guide the use of adjuvant therapies for breast cancer
Alaa, A. M., Gurdasani, D., Harris, A. L., Rashbass, J., & van der Schaar, M. (2021) · Nature Machine Intelligence · doi:10.1038/s42256-021-00353-8 · Cited by 55
Mitosis in circulating tumor cells stratifies highly aggressive breast carcinomas
Adams, D. L., Adams, D. K., Stefansson, S., Haudenschild, C., Martin, S. S., Charpentier, M., Chumsri, S., Cristofanilli, M., Tang, C.-M., & Alpaugh, R. K. (2016) · Breast Cancer Research · doi:10.1186/s13058-016-0706-4 · Cited by 40
Metadata
- Authors
- Galea, M. H., Blamey, R. W., Elston, C. E., & Ellis, I. O.
- Venue
- Breast Cancer Research and Treatment
- Published
- 1992-10
- Volume
- 22
- Issue
- 3
- Pages
- 207-219
- ISSN
- 0167-6806 (ISSN-L)
- 1573-7217
- OpenAlex
- W2054270840
- Cited by
- 1,070
- References
- 23
- FWCI
- 7.54
- 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
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.
