The DOI matches its Crossref record; 73 of the 74 references it cites were found in a registry or an index.
Prognostic Indices for Older Adults: A Systematic Review
Open accessAbstract
CONTEXT: To better target services to those who may benefit, many guidelines recommend incorporating life expectancy into clinical decisions. OBJECTIVE: To assess the quality and limitations of prognostic indices for mortality in older adults through systematic review. DATA SOURCES: We searched MEDLINE, EMBASE, Cochrane, and Google Scholar from their inception through November 2011. STUDY SELECTION: We included indices if they were validated and predicted absolute risk of mortality in patients whose average age was 60 years or older. We excluded indices that estimated intensive care unit, disease-specific, or in-hospital mortality. DATA EXTRACTION: For each prognostic index, we extracted data on clinical setting, potential for bias, generalizability, and accuracy. RESULTS: We reviewed 21,593 titles to identify 16 indices that predict risk of mortality from 6 months to 5 years for older adults in a variety of clinical settings: the community (6 indices), nursing home (2 indices), and hospital (8 indices). At least 1 measure of transportability (the index is accurate in more than 1 population) was tested for all but 3 indices. By our measures, no study was free from potential bias. Although 13 indices had C statistics of 0.70 or greater, none of the indices had C statistics of 0.90 or greater. Only 2 indices were independently validated by investigators who were not involved in the index's development. CONCLUSION: We identified several indices for predicting overall mortality in different patient groups; future studies need to independently test their accuracy in heterogeneous populations and their ability to improve clinical outcomes before their widespread use can be recommended.
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.
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?
The cited source says what the claim attributes to it.
In the citing paper
“Mortality prediction models that account for variables such as comorbidities and functional status can serve as the basis for making more refined life expectancy estimates107–109.”
From Diabetes in Older Adults: A Consensus Report (2012) · cites this paper as [107]
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
Charlson, M. E., Pompei, P., Ales, K. L., & MacKenzie, C. R. (1987) · Journal of Chronic Diseases · doi:10.1016/0021-9681(87)90171-8 · Cited by 49,742
The meaning and use of the area under a receiver operating characteristic (ROC) curve.
Hanley, J. A., & McNeil, B. J. (1982) · Radiology · doi:10.1148/radiology.143.1.7063747 · Cited by 21,856
Comorbidity measures for use with administrative data.
Elixhauser, A., Steiner, C., Harris, D. R., & Coffey, R. M. (1998) · Medical Care · doi:10.1097/00005650-199801000-00004 · Cited by 9,921
Assessing the Performance of Prediction Models: A Framework for Traditional and Novel Measures
Steyerberg, E. W., Vickers, A. J., Cook, N. R., Gerds, T., Gonen, M., Obuchowski, N., Pencina, M. J., & Kattan, M. W. (2010) · Epidemiology · doi:10.1097/ede.0b013e3181c30fb2 · Cited by 5,170
The TIMI Risk Score for Unstable Angina/Non–ST Elevation MI
Antman, E. M., Cohen, M. C., Bernink, P. J. L. M., McCabe, C. H., Horacek, T., Papuchis, G., Mautner, B., Corbalán, R., Radley, D. R., & Braunwald, E. (2000) · JAMA · doi:10.1001/jama.284.7.835 · Cited by 3,221
Treatment of hypertension in patients 80 years of age or older
Beckett, N. S., Peters, R., Fletcher, A. E., Staessen, J. A., Liu, L., Dumitrascu, D., Stoyanovsky, V., Antikainen, R. L., Nikitin, Y., Anderson, C., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0801369 · Cited by 3,092
van Walraven, C., Austin, P. C., Jennings, A., Quan, H., & Forster, A. J. (2009) · Medical Care · doi:10.1097/mlr.0b013e31819432e5 · Cited by 2,200
D'Agostino, R. B., Grundy, S., Sullivan, L. M., Wilson, P., & for the CHD Risk Prediction Group (2001) · JAMA · doi:10.1001/jama.286.2.180 · Cited by 2,108
Romano, P. S., Roos, L. L., & Jollis, J. G. (1993) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(93)90103-8 · Cited by 1,717
Evaluation of the Quality of Prognosis Studies in Systematic Reviews
Hayden, J. A., Côté, P., & Bombardier, C. (2006) · Annals of Internal Medicine · doi:10.7326/0003-4819-144-6-200603210-00010 · Cited by 1,452
Research works printed but not linked: 2
- [7]Laupacis A Sekar N Stiell IG Clinical prediction rules. A review and suggested modifications of methodological standards JAMA 1997 277 6 488 494 9020274
- [51]Einhorn HJ Hogarth RM Bell DE Raiffa H Tversky A Behavioral decision theory: process of judgement and choice Decision-Making: Descriptive, Normative, and Prescriptive Interactions Cambridge, MA Cambridge University Press 1988 113 146
Cited by
Sorted by citations
Items 501–600 of 736
Oral health status as predictor of 1-year mortality after discharge from an acute geriatric unit
Bartoli, G., Omiciuolo, C., Fiorenzato, F., Russi, E., Ceschia, G., Maglione, M., & Bevilacqua, L. (2019) · European Geriatric Medicine · doi:10.1007/s41999-019-00248-3 · Cited by 4
Resting respiration rate predicts all-cause mortality in older outpatients
Takayama, A., Takeshima, T., Yamazaki, H., Kamitani, T., Shimizu, S., Fukuhara, S., & Yamamoto, Y. (2022) · Aging Clinical and Experimental Research · doi:10.1007/s40520-022-02104-0 · Cited by 4
Ahmed, A., Ambler, G., Pereira, S. M. P., LENNON, L. T., Papacosta, O., Whincup, P. H., & Wannamethee, S. G. (2022) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2022.102098 · Cited by 4
“We also acknowledge that some comparisons between model performances are based on subjective observation of calibration plots, but (non-test based) visual judgement on calibration to determine the better model is widely used (Collins and Altman, 2012; Schneider et al., 2022; Yourman et al., 2012).”
BackgroundLearning from COVID‐19 triage schemes to face the next public health emergency
DeMartino, E. S., Ennis, J. S., Wolf, S. M., & Sulmasy, D. P. (2024) · Journal of the American Geriatrics Society · doi:10.1111/jgs.18765 · Cited by 4
“10 The practice of incorporating long-term prognosis into triage procedures threatens to systematically discriminate against populations that have faced barriers to care.”
BackgroundValidity of an early risk score for older adults
John, P. S., & Montgomery, P. (2014) · The Journal of the Royal College of Physicians of Edinburgh · doi:10.4997/jrcpe.2014.204 · Cited by 4
US health care: the unwinnable war against death
Callahan, D. (2012) · Health Economics Policy and Law · doi:10.1017/s1744133112000242 · Cited by 4
Cardiopatía isquémica crónica en el anciano
Martínez‐Sellés, M., Gómez‐Huelgas, R., Abu‐Assi, E., Calderón, A., & Vidán, M. T. (2016) · Medicina Clínica · doi:10.1016/j.medcli.2016.01.014 · Cited by 4
Propuesta de desarrollo de una unidad de oncogeriatría. Tiempos de cambio: nuestra realidad
Martínez-Peromingo, F. J., Algar, C. O., Monedero, M. E. B., de Villaumbrosía, C. G., de Asúa, D. R., & Barba, R. (2017) · Revista Española de Geriatría y Gerontología · doi:10.1016/j.regg.2017.10.007 · Cited by 5
Cole, A., Arthur, A. J., & Seymour, J. E. (2019) · Age and Ageing · doi:10.1093/ageing/afz011 · Cited by 4
Efectos de la fragilidad en los resultados adversos de la cirugía cardiaca en ancianos
Lemus-Barrios, G. A., Castellanos, J. M. C., Curcio, C., & Gómez, G. A. (2019) · Revista Colombiana de Cardiología · doi:10.1016/j.rccar.2018.11.005 · Cited by 4
Information provision to older patients receiving palliative chemotherapy: a quality study
Lindhardt, C. L., Winther, S. B., Pfeiffer, P., & Ryg, J. (2021) · BMJ Supportive & Palliative Care · doi:10.1136/bmjspcare-2021-003074 · Cited by 4
Shi, S., Keeney, T., & Ritchie, C. (2022) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2022.4080 · Cited by 4
Moons, E. G. M., Altman, D. G., Reitsma, J. B., Macaskill, P., Steyerberg, E. W., Vickers, A. J., Ransohoff, D. F., & Collins, P. G. S. (2015) · Cited by 4
O’Hanlon, C. E., Cooper, J. M., Lee, S. M., John, P. M., Churpek, M. M., Chin, M. H., & Huang, E. S. (2017) · MDM Policy & Practice · doi:10.1177/2381468317713718 · Cited by 4
“edu/).(20) An important limitation of these models is that they are always developed using data from past observations, and therefore are the results of the historical timing of diagnosis, natural history of disease, and effects of past treatments, all of which evolve over time.”
BackgroundSelf-citationStrohschein, F. J., Loucks, A., Jin, R., & Vanderbyl, B. L. (2020) · Clinical journal of oncology nursing · doi:10.1188/20.cjon.514-525 · Cited by 4
Mortality in hospitalised older patients: the WHALES short-term predictive score
Steinmeyer, Z., Piau, A., Thomazeau, J., Kai, S. H. Y., & Nourhashémi, F. (2021) · BMJ Supportive & Palliative Care · doi:10.1136/bmjspcare-2021-003258 · Cited by 4
“26 38 Among these indices, McCusker et al elaborated the Identification of Seniors At Risk (ISAR) score based on six simple dichotomous questions, predicting 3-month mortality.”
BackgroundMethodInfluentialWalkey, A. J., Pencina, K. M., Knox, D., Kuttler, K. G., D’Agostino, R. B., Benjamin, E. J., & Brown, S. M. (2015) · Journal of the American Geriatrics Society · doi:10.1111/jgs.13673 · Cited by 4
Albrand, G., Mottet, N., Ruffion, A., Fléchon, A., Bensadoun, R., Gigante, M., Guy, L., & Mongiat-Artus, P. (2012) · The French Journal of Urology · doi:10.1016/s1166-7087(12)70037-4 · Cited by 4
Casey, G., & van Walraven, C. (2017) · Journal of Hospital Medicine · doi:10.12788/jhm.2713 · Cited by 4
International Cancer Screening Network 2012
Njor, S. H., Olsen, A., Schwartz, T. W., Vejborg, I., & Lynge, E. (2012) · Cited by 4
Évaluation du patient âge présentant un cancer
Mongiat-Artus, P., Paillaud, É., Albrand, G., Caillet, P., & Neuzillet, Y. (2019) · The French Journal of Urology · doi:10.1016/j.purol.2019.08.279 · Cited by 4
Special Considerations of Breast Cancer Management in the Elderly
Cornell, L. F., McLaughlin, S. A., Pruthi, S., & Mussallem, D. M. (2020) · Breast Cancer Management · doi:10.2217/bmt-2020-0023 · Cited by 4
Bauer, J. M., Denkinger, M. D., Polidori, M. C., Sieber, C. C., & Wirth, R. (2023) · DMW - Deutsche Medizinische Wochenschrift · doi:10.1055/a-2033-4757 · Cited by 4
Prognostic Models for Older Adults
Kent, D. M. (2012) · JAMA · doi:10.1001/jama.2012.3568 · Cited by 3
Ndiaye, M. F., Keezer, M. R., & Nguyên, Q. D. (2025) · Aging Clinical and Experimental Research · doi:10.1007/s40520-025-03063-y · Cited by 3
“While specialized models can improve predictions in certain contexts, they frequently encounter issues such as overfitting and limited external validity due to the smaller datasets available for specific subgroups [ 1, 47].”
InfluentialDeardorff, W. J., Gan, S., Jing, B., Boscardin, W. J., Smith, A. K., & Lee, S. J. (2025) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2025.105775 · Cited by 3
Self-citationSmit, F., Braggion, A., Gastens, V., Khalatbari‐Soltani, S., Cullati, S., & Chiolero, A. (2026) · Journal of General Internal Medicine · doi:10.1007/s11606-025-10037-3 · Cited by 3
Dutta, R., Hooper, J., & Dutta, D. (2015) · Age and Ageing · doi:10.1093/ageing/afv012 · Cited by 3
Age is just a number: the concept of time to benefit in older adults
Hellemans, L., Mertens, B., Hias, J., Tournoy, J., & der Linden, L. R. V. (2021) · European Journal of Hospital Pharmacy · doi:10.1136/ejhpharm-2020-002561 · Cited by 3
Accuracy of two prognostic indexes to predict mortality in older adults with advanced dementia
Lopes, B. N. A., Garcez, F. B., Suemoto, C. K., & Morillo, L. S. (2022) · Dementia & Neuropsychologia · doi:10.1590/1980-5764-dn-2021-0028 · Cited by 3
Advance care planning: a practical guide
Dias, L. M., Bezerra, M. R., Barra, W. F., Nunes, R., & Rêgo, F. M. P. D. S. (2022) · Revista Bioética · doi:10.1590/1983-80422022303546en · Cited by 3
Li, Z., Yang, N., He, L., Wang, J., Ping, F., Li, W., Xu, L., Zhang, H., & Li, Y. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1033070 · Cited by 3
Wolfson, E. A., Schonberg, M. A., Eliassen, A. H., Bertrand, K. A., Shvetsov, Y. B., ROSNER, B. A., Palmer, J. R., LaCroix, A. Z., Chlebowski, R. T., Nelson, R. A., et al. (2023) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djad188 · Cited by 3
Self-citationLeveraging patients’ longitudinal data to improve the Hospital One-year Mortality Risk
Laribi, H., Raymond, N., Taseen, R., Poenaru, D., & Vallières, M. (2025) · Health Information Science and Systems · doi:10.1007/s13755-024-00332-4 · Cited by 2
Cancer Screening of Older Adults in Israel According to Life Expectancy: Cross Sectional Study
Bareket, R., Schonberg, M. A., Comaneshter, D. S., Schonmann, Y., Shani, M., Cohen, A. D., & Vinker, S. (2017) · Journal of the American Geriatrics Society · doi:10.1111/jgs.15035 · Cited by 3
“The factors used to assess LE in this index have been found to be predictive of mortality in multiple studies, suggesting that individuals in our population with functional and mobility limitations and comorbidities have a shorter LE than those without these conditions.(22,23) We did not have data on whether the tests…”
Self-citationFahy, B. N. (2019) · Journal of Surgical Oncology · doi:10.1002/jso.25428 · Cited by 3
Bari, M. D., Carreras, G., Giordano, A., Esposti, L. D., Buda, S., Michelozzi, P., Bernabei, R., Marchionni, N., & Balzi, D. (2020) · The Journals of Gerontology Series A · doi:10.1093/gerona/glaa147 · Cited by 3
Chesney, T. R., Alqurini, N., & Alibhai, S. M. H. (2020) · Springer eBooks · doi:10.1007/978-3-030-48363-0_13 · Cited by 3
Predicting 10-year mortality in adults with congenital heart disease
Fernandes, S. M., Lui, G. K., Long, J., Lin, A., Rogers, I. S., Sillman, C., Romfh, A., Dade, T. C., Dong, E., Haeffele, C. L., et al. (2020) · International Journal of Cardiology Congenital Heart Disease · doi:10.1016/j.ijcchd.2020.100057 · Cited by 3
Hospital amable para la persona mayor: el hospital del siglo XXI
Brañas, F., Pantoja, C., & Rodríguez, M. Á. (2021) · Revista Española de Geriatría y Gerontología · doi:10.1016/j.regg.2021.05.001 · Cited by 3
Matthews, S., Ward, M. D., Nolan, A., Normand, C. E. M., Kenny, R. A., & May, P. (2022) · BMC Geriatrics · doi:10.1186/s12877-022-03196-z · Cited by 3
Vidán, M. T. (2013) · Revista Española de Geriatría y Gerontología · doi:10.1016/j.regg.2013.10.005 · Cited by 3
Koll, T. T., & Dale, W. (2016) · Springer eBooks · doi:10.1007/978-3-319-31831-8_26 · Cited by 3
Searching for Clinically Relevant Biomarkers in Geriatric Oncology
Κάτσιλα, Θ., Patrinos, G. P., & Kardamakis, D. M. (2018) · BioMed Research International · doi:10.1155/2018/3793154 · Cited by 3
“Today, decision-making is largely based on benefit/risk ratios and an assessment of the general health status of patients via the application of several algorithms [1] or in the context of adjuvant treatments survival estimates are derived from clinical scores [22, 23].”
MethodMahendraker, N., Flanagan, M., Azar, J., & Williams, L. S. (2021) · Journal of General Internal Medicine · doi:10.1007/s11606-021-06593-z · Cited by 3
Demenz im Akutkrankenhaus: Was war neu 2012?: Eine Literaturübersicht
Hofmann, W. E. (2013) · Zeitschrift für Gerontologie und Geriatrie · Cited by 3
Adjuvant Chemotherapy in Older Adults With Colon Cancer
Williams, G. R., & Sanoff, H. K. (2015) · American Journal of Hematology / Oncology® · Cited by 3
Deardorff, W. J., Jing, B., Jeon, S. Y., Boscardin, W. J., Lee, A. K., Fung, K. Z., & Lee, S. J. (2022) · BMC Geriatrics · doi:10.1186/s12877-022-03126-z · Cited by 3
Self-citationSchoenborn, N. L., Pollack, C. E., Gupta, S. N., & Boyd, C. M. (2023) · The American Journal of Gastroenterology · doi:10.14309/ajg.0000000000002193 · Cited by 3
“There currently exist validated tools for predicting older adults’ life expectancies (24), but there is no easily accessible information on CRC risk over different time horizons.”
MethodComprehensive geriatric assessment in older patients with cancer: Two steps forward?
Alibhai, S. M. H. (2013) · Journal of Geriatric Oncology · doi:10.1016/j.jgo.2013.04.009 · Cited by 3
Breast Cancer Screening in Older Women
Bozzuto, L. (2021) · Springer eBooks · doi:10.1007/978-3-030-59058-1_2 · Cited by 3
Incorporating prognosis into clinical decision-making for older adults with diabetes
Deardorff, W. J., & Covinsky, K. (2023) · Journal of General Internal Medicine · doi:10.1007/s11606-023-08326-w · Cited by 3
Arora, S. P., & Puts, M. T. E. (2023) · Journal of Geriatric Oncology · doi:10.1016/j.jgo.2023.101528 · Cited by 2
McGowan, S. K., Corrales-Martinez, M.-J., Brender, T. D., Smith, A. K., Kim, S., Harrison, K. L., Mills, H., Lee, A., Bamman, D., & Cobert, J. M. (2024) · Medical Decision Making · doi:10.1177/0272989x241293446 · Cited by 2
“ICU and advanced illness prognostication can also be ambiguous and unclear, as existing mortality indices are rarely generalizable or accurate 8 and clinician outcome predictions vary substantially and are often wrong.”
Self-citationLi, H., Gondara, L., Speers, C., Lohrisch, C. A., Nichol, A., Musoke, R., & Mariano, C. J. (2025) · Journal of Geriatric Oncology · doi:10.1016/j.jgo.2025.102348 · Cited by 2
Peng, L., Xie, R., Holleczek, B., Brenner, H., & Schöttker, B. (2025) · Advanced Science · doi:10.1002/advs.202510189 · Cited by 2
Fu, K., Chen, R., Li, S., Zhang, Y., Fang, K., Zheng, L., Lin, Y., Li, L., & Wu, J. (2026) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2026.106143 · Cited by 2
Warrier, A. K., Ranganathan, S., Montgomery, D., Tawil, J., Istanboulli, A., Bowers, C. A., Gurgel, R. K., & McCrary, H. C. (2026) · Otolaryngology · doi:10.1002/ohn.70125 · Cited by 2
Carrasco, C. H., Olson, C., Portley, M., Davidow, J. B., & Rojas-Velasquez, D. (2026) · The American Journal of Geriatric Psychiatry Open Science Education and Practice · doi:10.1016/j.osep.2026.06.002 · Cited by 2
Cardiopatía isquémica crónica en el anciano
Martínez‐Sellés, M., Gómez‐Huelgas, R., Abu‐Assi, E., Calderón, A., & Vidán, M. T. (2016) · Revista Española de Geriatría y Gerontología · doi:10.1016/j.regg.2016.01.012 · Cited by 2
Loureiro, N., & Carvalho, D. (2021) · Medicina Interna · doi:10.24950/r/45/21/3/2021 · Cited by 2
Predicting survival in patients with advanced disease
Sinclair, C. T. (2021) · doi:10.1093/med/9780198821328.003.0102 · Cited by 2
Glick, N., Vaisman, A., Negru, L., Segal, G., & Itelman, E. (2022) · Medicine · doi:10.1097/md.0000000000030917 · Cited by 2
“Accurate prediction of survival, mortality and death at admission to an internal medicine department is complex yet crucial for decision making, leading eventually to optimal patient management.[1,2] It has become widespread today to incorporate life expectancy into clinical decisions, as a central factor in weighing…”
BackgroundSuárez-Dono, J., Novo‐Veleiro, I., Gudé, F., Marinho, R. C., Xavier-Pires, S., Rocha, D., Araújo-Correia, J., Moreira, C., Beires, F., Pérez, D., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-30610-2 · Cited by 2
Care Throughout the Journey-The Interaction Between Primary Care and Palliative Care.
Taylor, E. P., Vellozzi-Averhoff, C., & Vettese, T. (2023) · Clinics in Geriatric Medicine · doi:10.1016/j.cger.2023.04.002 · Cited by 1
Sinvani, L., & Mendelson, D. A. (2024) · Springer eBooks · doi:10.1007/978-3-030-74720-6_15 · Cited by 2
Gambini, D., Veronesi, V., Despini, L., Ferrero, S., Rossi, C. F., Garrone, O., Rigoni, M., Muti, P., Runza, L., & Kuhn, E. (2024) · Cancers · doi:10.3390/cancers16244142 · Cited by 2
External Validation of the Walter Index for Posthospitalization Mortality Prediction in Older Adults
Avelino‐Silva, T. J., Lee, S. J., Covinsky, K. E., Walter, L. C., Deardorff, W. J., Boscardin, W. J., Campora, F., Szlejf, C., Suemoto, C. K., & Smith, A. K. (2025) · JAMA Network Open · doi:10.1001/jamanetworkopen.2024.55475 · Cited by 2
Self-citationFuruya, H., Kikutani, T., Sakazume, T., Nakazawa, Y., Tanaka, K., Kato, Y., Ichikawa, Y., Hatano, A., Ozeki, M., Tohara, T., et al. (2025) · Journal of Oral Rehabilitation · doi:10.1111/joor.13999 · Cited by 2
Launay, C. P., Rivière, H., Chabot, J. ‐., & Beauchet, O. (2018) · Maturitas · doi:10.1016/j.maturitas.2018.01.018 · Cited by 2
Okabayashi, S., Kawamura, T., Noma, H., Wakai, K., Ando, M., Tsushita, K., Ohira, H., Ukawa, S., & Tamakoshi, A. (2021) · Environmental Health and Preventive Medicine · doi:10.1186/s12199-021-00968-8 · Cited by 2
“The predictability of our model was similar to the previous models that predict death or dysfunction [6, 7].”
ResultStrotmeyer, E. S., & Zgibor, J. C. (2014) · Clinics in Geriatric Medicine · doi:10.1016/j.cger.2014.10.001 · Cited by 2
Lyons, W. L. (2016) · Clinics in Geriatric Medicine · doi:10.1016/j.cger.2016.01.007 · Cited by 2
Albert, J. M., & Smith, B. D. (2012) · Breast Diseases A Year Book Quarterly · doi:10.1016/j.breastdis.2012.03.017 · Cited by 2
Sultana, J., Basile, G., & Trifirò, G. (2016) · Geriatric Care · doi:10.4081/gc.2016.5596 · Cited by 2
Hayashi, J., Ripp, J., & Colburn, J. L. (2015) · Springer eBooks · doi:10.1007/978-3-319-23365-9_4 · Cited by 2
Care transitions in a changing healthcare environment
Callahan, K. E., & Hartsell, Z. C. (2015) · JAAPA · doi:10.1097/01.jaa.0000470433.84446.c3 · Cited by 2
Am I too old for this, Doctor? Using population life expectancy to guide clinical decision‐making
Broad, J., Dunstan, K., Claridge, A., & Harris, R. (2016) · Australian Journal on Ageing · doi:10.1111/ajag.12355 · Cited by 2
Problematiche di fine vita: il ruolo della medicina interna ospedaliera
Zulian, F., Campanini, M., Lusiani, L., Magnani, L., Pinna, G., & Nardi, R. (2017) · Italian Journal of Medicine · doi:10.4081/itjm.q.2017.4 · Cited by 2
Chronic ischaemic heart disease in the elderly
Martínez‐Sellés, M., Gómez‐Huelgas, R., Abu‐Assi, E., Calderón, A., & Vidán, M. T. (2016) · Medicina Clínica (English Edition) · doi:10.1016/j.medcle.2016.06.016 · Cited by 2
Yasui, H., Iwase, S., Ariyoshi, K., Nojima, M., & Yoshiuchi, K. (2017) · American Journal of Hospice and Palliative Medicine® · doi:10.1177/1049909117741472 · Cited by 2
A decalogue for end-of-life care in Internal Medicine
Lusiani, L., Ballardini, G., Nardi, R., Magnani, L., Santini, C., Pentella, G., & Fontanella, A. (2018) · Italian Journal of Medicine · doi:10.4081/itjm.2018.1060 · Cited by 2
Soto‐Pérez‐de‐Celis, E., & Hurria, A. (2020) · Elsevier eBooks · doi:10.1016/b978-0-323-47674-4.00060-8 · Cited by 2
Oldfield, B. J., Pasha, S., Mun, S., Sedghi, T., Zhu, W., DeCew, A., Flaherty-Hewitt, M., & Olson, D. P. (2020) · Population Health Management · doi:10.1089/pop.2020.0035 · Cited by 2
Eimontas, J., Bagdonas, A., Kairys, A., Zamalijeva, O., Pakalniškienė, V., & Sadauskaitė, R. (2021) · Psichologija · doi:10.15388/psichol.2021.31 · Cited by 2
Building a Digital Health Risk Calculator for Older Women with Early-Stage Breast Cancer
Abujarad, F., Wang, S., Ulrich, D., Mougalian, S. S., Killelea, B. K., Fraenkel, L., Gross, C. P., & Evans, S. B. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-78224-5_27 · Cited by 2
Comprehensive Geriatric Assessment (CGA) for Cancer Patients
Alexander, K., & Korc‐Grodzicki, B. (2020) · Springer eBooks · doi:10.1007/978-3-319-57415-8_49 · Cited by 2
Hospitalized Women’s Perspective on Willingness-to-Screen for Cancers in Relation to Life Expectancy
Shubella, J., Kauffman, G., & Khaliq, W. (2022) · Cureus · doi:10.7759/cureus.25732 · Cited by 2
“Similarly, the Schonberg index predicts five-year mortality in a heterogeneous sample of adults over the age of 65, who completed the National Health Interview Survey between 1997 and 2000 [3].”
BackgroundMethodCGA and Clinical Decision-Making: The Multidimensional Prognostic Index
Pilotto, A., Daragjati, J., & Veronese, N. (2017) · Practical issues in geriatrics · doi:10.1007/978-3-319-62503-4_8 · Cited by 2
Sourdet, S., Rochette, C., Barreto, P. D. S., Nourhashémi, F., Piau, A., Vellas, B. J., & Rolland, Y. (2018) · The journal of nutrition health & aging · doi:10.1007/s12603-018-1071-z · Cited by 2
Managing Polypharmacy in the 15-Minute Office Visit
Antimisiaris, D. E., & Cutler, T. (2018) · Physician Assistant Clinics · doi:10.1016/j.cpha.2018.05.008 · Cited by 2
Geriatric oncology: questions, answers and guidelines
Unseld, M., & Marosi, C. (2020) · memo - Magazine of European Medical Oncology · doi:10.1007/s12254-020-00625-w · Cited by 2
“Recommendation 3 This question on the probability of survival for the next 5–10 years can be answered using validated tools established for large cohorts of US citizens aged 50+ or 65+ after 2000, e.g. the Lee Schonberg Index [21, 22], available at https:// eprognosis.ucsf.edu/leeschonberg.php.”
MethodPatient-Centered Surgical Decision Making
Chesney, T. R., & Schwarze, M. L. (2020) · Springer eBooks · doi:10.1007/978-3-319-47771-8_6 · Cited by 2
Levy, A. E., & Allen, L. A. (2018) · Journal of the American Heart Association · doi:10.1161/jaha.118.010864 · Cited by 2
Comprehensive Geriatric Assessment
Pilotto, A. (2021) · Springer eBooks · doi:10.1007/978-3-030-22009-9_539 · Cited by 2
The Role of p16Ink4a as an Early Predictor of Physiological Decline during Natural AgingPreprint
Tang, L., Hladyshau, S., Ross, A., Nyrop, K. A., Entwistle, A., Muss, H. B., Mitin, N., & Tsygankov, D. (2024) · medRxiv · doi:10.1101/2024.11.21.24317752 · Cited by 2
Clinician estimates of prognosis: accuracy and impact—a retrospective inpatient hospice study
Tavabie, S., Hargreaves, A., Tookman, A. J., & Stone, P. C. (2021) · BMJ Supportive & Palliative Care · doi:10.1136/bmjspcare-2021-003326 · Cited by 1
Miller, K. N., Thomas, S. M., Record, S. M., Rosenberger, L. H., DiNome, M. L., DiLalla, G. A., Force, J. M., Hwang, E. S., & Plichta, J. K. (2023) · Annals of Surgical Oncology · doi:10.1245/s10434-023-13880-y · Cited by 1
Yu, Q., Zhang, L., Ma, Q., Da, L., Li, J., & Li, W. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e36878 · Cited by 1
“Given the changing circumstances, it became paramount to precisely discern risk stratification and implement timely interventions [3,4].”
BackgroundDemographic Perspective on the Study of Aging
García-Chanes, R. E., & Huerta, A. V. R. (2024) · Springer eBooks · doi:10.1007/978-3-031-76469-1_4 · Cited by 1
Metadata
- Authors
- Yourman, L. C., Lee, S. J., Schonberg, M. A., Widera, E. W., & Smith, A. K.
- Affiliations
- University of California, San Francisco (US)
- San Francisco VA Medical Center (US)
- Beth Israel Deaconess Medical Center (US)
- Corresponding author
- Smith, Alexander K.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2012-01-11
- Volume
- 307
- Issue
- 2
- Pages
- 182
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- PMC
- PMC3792853
- OpenAlex
- W2025056766
- Cited by
- 736
- References
- 74
- Citations by year
- 2026: 25 · 2025: 18 · 2024: 26 · 2023: 42 · 2022: 50 · 2021: 53 · 2020: 65 · 2019: 62 · 2018: 57 · 2017: 60 · 2016: 74 · 2015: 57 · 2014: 59 · 2013: 45 · 2012: 42
- FWCI
- 31.93
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (K23AG040772, K23AG040779, T32AG000212)
- National Center for Research Resources (UL1RR024131, KL2RR024130)
- Topics
- Health Sciences › Medicine › Geriatrics and Gerontology › Frailty in Older Adults
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Palliative Care and End-of-Life Issues
- Social Sciences › Demography › Insurance, Mortality, Demography, Risk Management
- Keywords
- prognostic score, mortality prediction, older adults, life expectancy, risk stratification, generalizability, transportability, index validation, concordance index, nursing homes, in-hospital mortality, community-dwelling older adults
- MeSH terms
- Aged, Aged, 80 and over, Decision Making, Patient Care, Humans, Life Expectancy, Middle Aged, Mortality, Predictive Value of Tests, Prognosis, Risk
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