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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.
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“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]
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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
Flagged first, then by citations
1 of the 74 references couldn’t be matched to a known paper.
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 301–400 of 737
Optimizing perioperative management of geriatric patients with head and neck cancer
Shuman, A. G., Patel, S. G., Shah, J. P., & Korc‐Grodzicki, B. (2013) · Head & Neck · doi:10.1002/hed.23347 · Cited by 19
Lipid-modifying therapy in the elderly
Hamilton‐Craig, I. R., Woodhouse, S. P., Colquhoun, D. M., Kostner, K., & dʼEmden, M. C. (2015) · Vascular Health and Risk Management · doi:10.2147/vhrm.s40474 · Cited by 18
“Attempts to develop prognostic indices in older adults have met with varied success, and few indices have been independently validated.(4) Use of the Lloyd-Jones algorithm for predicting CVD risk up to age 80 years is recommended by the International Atherosclerosis Society (IAS).”
Instruments for geriatric assessment: new multidimensional assessment approaches
Rengo, F., Parisi, V., Rengo, G., Femminella, G. D., Rengo, C., Zincarelli, C., Pagano, G., Festa, G., de Lucia, C., & Leosco, D. (2012) · Journal of Nephrology · doi:10.5301/jn.5000164 · Cited by 18
Demb, J., Akinyemiju, T., Allen, I. E., Onega, T., Hiatt, R. A., & Braithwaite, D. (2018) · Clinical Interventions in Aging · doi:10.2147/cia.s171739 · Cited by 18
Tedesco, S. A., Andrulli, M., Larsson, M. Å., Kelly, D., Alamäki, A., Timmons, S., Barton, J. J., Condell, J. V., O’Flynn, B., & Nordström, A. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182312806 · Cited by 18
Best Practices in End of Life and Palliative Care in the Emergency Department
Prachanukool, T., George, N. R., Bowman, J. K., Ito, K., & Ouchi, K. (2023) · Clinics in Geriatric Medicine · doi:10.1016/j.cger.2023.05.011 · Cited by 18
Yourman, L. C., Bergstrom, J., Bryant, E. A., Pollner, A., Moore, A. A., Schoenborn, N. L., & Schonberg, M. A. (2023) · Journal of General Internal Medicine · doi:10.1007/s11606-023-08439-2 · Cited by 18
Self-citationAdjuvant therapy of breast cancer in women 70 years of age and older: tough decisions, high stakes.
Jones, E. L., Leak, A., & Muss, H. B. (2012) · PubMed · Cited by 18
Conveying Uncertainty in Prognosis to Patients with ESRD
Parvez, S., Abdel-Kader, K. F. M., Song, M., & Unruh, M. L. (2015) · Blood Purification · doi:10.1159/000368954 · Cited by 18
Combining Gait Speed and Recall Memory to Predict Survival in Late Life: Population‐Based Study
Marengoni, A., Bandinelli, S., Maietti, E., Guralnik, J. M., Zuliani, G., Ferrucci, L., & Volpato, S. (2016) · Journal of the American Geriatrics Society · doi:10.1111/jgs.14705 · Cited by 18
Chesney, T. R., & Devon, K. M. (2018) · Canadian Journal of Surgery · doi:10.1503/cjs.011317 · Cited by 18
Lund, J. L., Kuo, T., Brookhart, M. A., Meyer, A., Dalton, A. F., Kistler, C. E., Wheeler, S. B., & Lewis, C. L. (2019) · Pharmacoepidemiology and Drug Safety · doi:10.1002/pds.4769 · Cited by 17
Lakin, J. R., Robinson, M. G., Obermeyer, Z., Powers, B. W., Block, S. D., Cunningham, R. J., Tumblin, J., Vogeli, C., & Bernacki, R. (2019) · Journal of General Internal Medicine · doi:10.1007/s11606-019-05094-4 · Cited by 18
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BackgroundMethodBrady, A., Curtis, C., & Jalal, Z. (2020) · Pharmacy · doi:10.3390/pharmacy8020064 · Cited by 18
Enfermedad por coronavirus 2019 (COVID-19) y edadismo: revisión narrativa de la literatura
Tarazona‐Santabalbina, F. J., Heras, J. M. D. L. C. D. L., Vidán, M. T., & Navarro, J. A. G. (2020) · Revista Española de Geriatría y Gerontología · doi:10.1016/j.regg.2020.08.002 · Cited by 18
Treating Older Adults with Cancer: Geriatric Perspectives
Klepin, H. D., Rodin, M. B., & Hurria, A. (2015) · American Society of Clinical Oncology Educational Book · doi:10.14694/edbook_am.2015.35.e544 · Cited by 18
Mazzola, P., Bellelli, G., Perego, S., Zambon, A., Mazzone, A., Bruni, A. A., & Annoni, G. (2013) · The Journals of Gerontology Series A · doi:10.1093/gerona/glt020 · Cited by 18
Chronic Lymphocytic Leukemia in the Elderly: Epidemiology and Proposed Patient-Related Approach
Balducci, L., & Dolan, D. E. (2015) · Cancer Control · doi:10.1177/107327481502204s02 · Cited by 18
Preventing Treatment-Related Functional Decline: Strategies to Maximize Resilience
Shahrokni, A., Alexander, K., Wildes, T. M., & Puts, M. T. E. (2018) · American Society of Clinical Oncology Educational Book · doi:10.1200/edbk_200427 · Cited by 18
Predicting survival in patients with advanced disease
Glare, P. A., Sinclair, C. T., Stone, P. C., & Clayton, J. M. (2015) · doi:10.1093/med/9780199656097.003.0007 · Cited by 18
Angeli, E., Chouahnia, K., Canouï‐Poitrine, F., Duchemann, B., Aparicio, T., Paillaud, É., Zelek, L. H., Bousquet, G., & Pamoukdjian, F. (2020) · Aging · doi:10.18632/aging.102876 · Cited by 17
Deaths in dementia: a scoping review of prognostic variables
Kaur, P., Tan, W. S., George, P. P., Ding, Y. Y., Ong, R., Wu, H. Y., & Hum, A. Y. M. (2020) · BMJ Supportive & Palliative Care · doi:10.1136/bmjspcare-2020-002217 · Cited by 17
O’Donovan, M. R., Devleesschauwer, B., Sezgin, D., Liew, A., Kabir, Z., & Ó’Caoimh, R. (2023) · Age and Ageing · doi:10.1093/ageing/afad214 · Cited by 17
Management of Skin Cancer in the Elderly
Renzi, M. A., Schimmel, J., Decker, A., & Lawrence, N. (2019) · Dermatologic Clinics · doi:10.1016/j.det.2019.02.003 · Cited by 17
Prognostic Indices for Advance Care Planning in Primary Care: A Scoping Review
Kim, P. H., Daly, J. M., Berry-Stoelzle, M., Schmidt, M. E., Michaels, L. C., Dorr, D. A., & Levy, B. T. (2020) · The Journal of the American Board of Family Medicine · doi:10.3122/jabfm.2020.02.190173 · Cited by 15
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Challenges in the Treatment of Older Breast Cancer Patients
Williams, G. R., Jones, E., & Muss, H. B. (2013) · Hematology/Oncology Clinics of North America · doi:10.1016/j.hoc.2013.05.008 · Cited by 17
Cancer Prevention in the Older Individual
Balducci, L. (2016) · Seminars in Oncology Nursing · doi:10.1016/j.soncn.2016.05.011 · Cited by 17
“com.(13) summarizes all instruments that predict the risk of mortality from 1 year to up to 9 years and allows the calculation of the risk online and free of charge.”
BackgroundGiantin, V., Falci, C., Luca, E., Valentini, E., Iasevoli, M., Siviero, P., Maggi, S., Martella, B., Crepaldi, G., Monfardini, S., et al. (2016) · European Journal of Cancer Care · doi:10.1111/ecc.12585 · Cited by 17
Anić, K., Altehoefer, C., Krajnak, S., Schmidt, M. W., Schwab, R. M., Linz, V. C., Schmidt, M., Westphalen, C., Hartmann, E. K., Hasenburg, A., et al. (2022) · Journal of Cancer Research and Clinical Oncology · doi:10.1007/s00432-022-03934-1 · Cited by 16
Planejamento antecipado de cuidados: guia prático
Dias, L. M., Bezerra, M. R., Barra, W. F., Nunes, R., & Rêgo, F. M. P. D. S. (2022) · Revista Bioética · doi:10.1590/1983-80422022303546pt · Cited by 16
Haimovich, A. D., Xu, W., Wei, A., Schonberg, M. A., Hwang, U., & Taylor, R. A. (2023) · Journal of the American Geriatrics Society · doi:10.1111/jgs.18262 · Cited by 18
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BackgroundSelf-citationPilotto, A., Sancarlo, D., Daragjati, J., & Panza, F. (2015) · Frontiers in Medicine · doi:10.3389/fmed.2014.00061 · Cited by 16
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Tan, A., Kuo, Y., Elting, L. S., & Goodwin, J. S. (2013) · Journal of the American Geriatrics Society · doi:10.1111/jgs.12151 · Cited by 16
Ethical and Legal Considerations in End-of-Life Care
Chessa, F., & Moreno, F. (2019) · Primary Care Clinics in Office Practice · doi:10.1016/j.pop.2019.05.005 · Cited by 16
Enteral tube feeding and mortality in hospitalized older patients: A multicenter longitudinal study
Veronese, N., Cella, A., Cruz-Jentoft, A. J., Polidori, M. C., Mattace-Raso, F. U. S., Paccalin, M., Topinková, E., Greco, A., Mangoni, A. A., Daragjati, J., et al. (2019) · Clinical Nutrition · doi:10.1016/j.clnu.2019.07.011 · Cited by 16
Maggi, S., Noale, M., Pilotto, A., Tiengo, A., Perin, P. C., & Crepaldi, G. (2013) · Diabetes & Metabolism · doi:10.1016/j.diabet.2013.02.003 · Cited by 16
Managing Polypharmacy in the 15-Minute Office Visit
Antimisiaris, D. E., & Cutler, T. (2017) · Primary Care Clinics in Office Practice · doi:10.1016/j.pop.2017.04.003 · Cited by 16
PROgnostic Model for Advanced Cancer (PRO-MAC)
Hum, A. Y. M., Wong, Y., Yee, C. M., Lee, C. S., Wu, H. Y., & Koh, M. Y. H. (2019) · BMJ Supportive & Palliative Care · doi:10.1136/bmjspcare-2018-001702 · Cited by 15
Deardorff, W. J., Jeon, S. Y., Barnes, D. E., Boscardin, W. J., Langa, K. M., Covinsky, K. E., Mitchell, S. L., Lee, S. J., & Smith, A. K. (2023) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2023.6548 · Cited by 16
Self-citationDemenz im Akutkrankenhaus: Was war neu 2012?
Hofmann, W. E. (2013) · Zeitschrift für Gerontologie und Geriatrie · doi:10.1007/s00391-013-0485-9 · Cited by 15
Systemic treatment of gastric and esophageal adenocarcinoma in elderly patients.
Balducci, L. (2015) · PubMed Central · doi:10.3978/j.issn.2078-6891.2014.093 · Cited by 15
“Based on the CGA, one may estimate a person’s risk of mortality with and without cancer up to 9 years post diagnosis (20) as well as the risk of chemotherapy induced toxicity (21,22).”
BackgroundUsefulness and Effect of Online Prognostic Calculators
McClymont, K. M., Lee, S. J., Schonberg, M. A., Widera, E., Miao, Y., & Smith, A. K. (2014) · Journal of the American Geriatrics Society · doi:10.1111/jgs.13171 · Cited by 15
“To the Editor: Guidelines recommend incorporating mortality risk into clinical decision-making for older adults, such as cancer screening.(1,2) A systematic review of prognostic indices to estimate mortality risk for older adults was previously published.”
BackgroundSelf-citationAdjuvant Treatment for Older Women with Invasive Breast Cancer
Jolly, T. A., Williams, G. R., Bushan, S., Pergolotti, M., Nyrop, K. A., Jones, E. L., & Muss, H. B. (2016) · Women s Health · doi:10.2217/whe.15.92 · Cited by 15
Aliberti, M. J. R., Covinsky, K. E., Apolinário, D., Lee, S. J., Fortes-Filho, S. D. Q., Melo, J. A., Viana, S. S. C., Suemoto, C. K., & Jacob-Filho, W. (2018) · The journal of nutrition health & aging · doi:10.1007/s12603-018-1152-z · Cited by 15
Self-citationKusumastuti, S., Hoogendijk, E. O., Gerds, T. A., Lund, R., Mortensen, E. L., Huisman, M. A., & Westendorp, R. G. J. (2022) · BMC Geriatrics · doi:10.1186/s12877-022-02876-0 · Cited by 16
Schoenborn, N. L., Boyd, C. M., & Pollack, C. E. (2022) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2022.4316 · Cited by 15
Screening for Cancer: When to Stop?
Soung, M. C. (2014) · Medical Clinics of North America · doi:10.1016/j.mcna.2014.11.002 · Cited by 15
“There are several published models for estimating life expectancy in community-dwelling patients.(52) Two prognostic indices (by Lee and colleagues(53) and Schonberg and colleagues(54)) have been published that use brief questionnaires based on patient self-report to predict 4-year or 5-year life expectancy.”
BackgroundComplicated and complex: Helping the older patient with cancer to exit the labyrinth
Balducci, L., & Aapro, M. (2013) · Journal of Geriatric Oncology · doi:10.1016/j.jgo.2013.11.003 · Cited by 15
Gill, T. M., Han, L., Gahbauer, E. A., Leo-Summers, L. S., & Allore, H. G. (2018) · Journal of the American Geriatrics Society · doi:10.1111/jgs.15399 · Cited by 15
Guittet, L., Quipourt, V., Aparicio, T., Carola, É., Seitz, J., Paillaud, É., Lièvre, A., Boulahssass, R., Vitellius, C., Bengrine-Lefèvre, L., et al. (2023) · BMC Cancer · doi:10.1186/s12885-022-10418-5 · Cited by 14
Jung, H., Kim, J. W., Han, J. W., Kim, K., Kim, J. H., Kim, K.-I., Kim, C.-H., & Kim, K. W. (2016) · PLoS ONE · doi:10.1371/journal.pone.0147032 · Cited by 14
“Furthermore, previous indices were developed from administrative data sets or the information that may not be routinely assessed in older patients [13].”
BackgroundMethodInfluentialPhysiological Dysregulation, Frailty, and Risk of Mortality Among Older Adults
Cornman, J. C., Glei, D. A., Goldman, N., & Weinstein, M. (2016) · Research on Aging · doi:10.1177/0164027516630794 · Cited by 14
Dunning, T. L. (2020) · Diabetes Spectrum · doi:10.2337/ds20-0014 · Cited by 14
Veronese, N., Koyanagi, A., Smith, L., Musacchio, C., Cammalleri, L., Barbagallo, M., & Pilotto, A. (2021) · Experimental Gerontology · doi:10.1016/j.exger.2021.111265 · Cited by 14
Kraus, V. B., Ma, S., Tourani, R., Fillenbaum, G. G., Burchett, B. M., Parker, D., Kraus, W. E., Connelly, M. A., Otvos, J. D., Cohen, H. J., et al. (2022) · EBioMedicine · doi:10.1016/j.ebiom.2022.104292 · Cited by 15
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Goldman, N., & Glei, D. A. (2015) · Annals of Epidemiology · doi:10.1016/j.annepidem.2015.08.008 · Cited by 14
Pardo, P., García, A., & Cortés, J. (2016) · Gaceta Sanitaria · doi:10.1016/j.gaceta.2016.04.008 · Cited by 9
The challenges of using the Hospital Frailty Risk Score
Ó’Caoimh, R., Cooney, M. T., Cooke, J. P., & O’Shea, D. (2018) · The Lancet · doi:10.1016/s0140-6736(18)32424-3 · Cited by 14
Martinez‐Tapia, C., Rougette, K., Fossey-Diaz, V., Cudennec, T., Taleb, C., Balardy, L., Mertens, C., Mitha, N., Bringuier, M., Maley, K., et al. (2023) · Nutrients · doi:10.3390/nu15061508 · Cited by 13
“89 correspond to good and very good discriminative ability, respectively [31].”
BackgroundZhang, S., Zhang, K., Chen, W. Y., & Wu, C. (2023) · Health Science Reports · doi:10.1002/hsr2.1309 · Cited by 12
“More prediction models have been developed more recently to encompass a wider variety of individual factors.(6) Older adults in a wide variety of settings have been studied, such as community, hospital, and nursing home.”
BackgroundClinical prognostic factors for older people: A systematic review and meta-analysis
Veronese, N., Fazzari, A., Armata, M. G., Parisi, A., Parrinello, A., Petralia, V., Saccaro, C., Vesco, M., Tagliaferri, F., Fittipaldo, V. A., et al. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102345 · Cited by 12
“(Siontis et al., 2011; Yourman et al., 2012) Finally, these seminal works were published more than 10 years ago.”
BackgroundArcanjo, S. P., Saporetti, L. A., Curiati, J. A. É., Filho, W. J., & Avelino‐Silva, T. J. (2018) · Einstein (São Paulo) · doi:10.1590/s1679-45082018ao4092 · Cited by 12
“However, a consensus on how to best assess prognosis in geriatric patients is lacking, and timely transition from therapeutic to palliative care is challenging.(8,9) As a result, palliative care is often delayed in older adults and non-cancer patients,(10) and some important factors, such as functional, cognitive and…”
Chen, D., Chen, J., Yang, H., Liang, X., Xie, Y., Li, S., Ding, L., & Li, Q. (2019) · Minerva Anestesiologica · doi:10.23736/s0375-9393.19.13462-1 · Cited by 13
Yarnell, C. J., Jewell, L. M., Astell, A., Pinto, R. L., Devine, L., Detsky, M. E., Downar, J., Ilan, R., Rawal, S., Wong, N., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0247571 · Cited by 13
“A “no” response is correlated with increased mortality rates and discriminatory ability is similar to other prognostic indices intended for hospitalized older adults [1,2,23,24].”
BackgroundChiu, S. Y., Chen, Y. I., Lu, J.-F. R., Ng, S., & Chen, C. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10204779 · Cited by 13
“Therefore, prognostic indices should be considered for heterogeneous populations to test accuracy [3].”
BackgroundGerber, K., Hayes, B. J., Bloomer, M. J., Perich, C., Lock, K., Slee, J., Lee, C. Y., & Yates, P. A. (2022) · Geriatric Nursing · doi:10.1016/j.gerinurse.2022.05.004 · Cited by 13
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Heppenstall, C. P., Broad, J., Boyd, M. L., Gott, M., & Connolly, M. J. (2015) · Age and Ageing · doi:10.1093/ageing/afu206 · Cited by 13
Grion, A. M., Gallo, U., Tinjala, D. D., Daragjati, J., Loreggian, M., Cardaci, G., Mangoni, A. A., & Pilotto, A. (2016) · Drugs & Aging · doi:10.1007/s40266-015-0340-3 · Cited by 13
Evaluation of prognostic indices in elderly hospitalized patients
Monacelli, F., Tafuro, M., Molfetta, L., Sartini, M., Nencioni, A., Cea, M., Borghi, R., Montecucco, F., & Odetti, P. R. (2016) · Geriatrics and gerontology international/Geriatrics & gerontology international · doi:10.1111/ggi.12801 · Cited by 13
Thorsteinsdottir, B., Takahashi, P. Y., Cha, S., Rajeev, C., Gajic, O., & Biehl, M. (2016) · Clinical Interventions in Aging · doi:10.2147/cia.s99419 · Cited by 14
Godaert, L., Godard‐Sebillotte, C., Saint-Albin, L. A., Bousquet, L., Bourdel‐Marchasson, I., Fanon, J., & Dramé, M. (2017) · Quality of Life Research · doi:10.1007/s11136-017-1693-3 · Cited by 13
“In order to assess prognosis, several mortality scores have been developed for elderly patients admitted to hospital for an acute condition [3].”
BackgroundA Vulnerability Risk Index of Self‐Neglect in a Community‐Dwelling Older Population
Wang, B., Hoover, D. R., Beck, T. L., & Dong, X. (2019) · Journal of the American Geriatrics Society · doi:10.1111/jgs.16285 · Cited by 15
“79 is considered as good.(22) Calibration is the extent to which the predicted risk of the outcome matches the actual risk of the outcome.”
BackgroundMethodKarter, A. J., Parker, M. M., Moffet, H. H., Lipska, K. J., Laiteerapong, N., Grant, R. W., Lee, C., & Huang, E. S. (2023) · Journal of General Internal Medicine · doi:10.1007/s11606-023-08219-y · Cited by 13
“4,5 11 Estimating life expectancy can be useful in determining whether an intervention is likely to be futile, harmful, or beneficial.”
BackgroundThe Healthy Ageing Questionnaire Index: Validation in the Singapore Longitudinal Ageing Study
Ng, T. P., Gwee, X., Chua, D. Q. L., Wee, S. L., Cheong, C. Y., Yap, P. L. K., & Yap, K. B. (2023) · Gerontology · doi:10.1159/000533635 · Cited by 12
Schoenborn, N. L., Boyd, C. M., Cayea, D., Nakamura, K., Xue, Q., Ray, A., & McNabney, M. (2015) · BMC Medical Education · doi:10.1186/s12909-015-0488-x · Cited by 12
“On the other hand, a growing literature suggests that life expectancy in the range of a few years impacts a number of clinical decisions [1, 4–9].”
BackgroundPrognostic value of deep echocardiographic phenotyping in pulmonary arterial hypertension
Ghio, S., Badagliacca, R., Acquaro, M., Filomena, D., Recchioni, T., Papa, S., Colombo, D., Ditali, V., Carrozzi, C., Greco, A., et al. (2024) · ERJ Open Research · doi:10.1183/23120541.00587-2023 · Cited by 13
“The good discriminatory ability of this advanced echocardiographic approach for risk stratification was confirmed in the validation cohort of PAH patients enrolled in a different centre, which also demonstrated a good c-index [22, 23].”
ResultGlare, P. A., Shariff, I., & Thaler, H. T. (2014) · Journal of Palliative Medicine · doi:10.1089/jpm.2013.0256 · Cited by 12
“Asuiteof prognostic calculators is available for ambulatory patients in geriatrics clinics, 20 and would be worth evaluating in palliative care outpatient clinics, especially in clinics with a large numbers of older patients with serious illnesses other than cancer.”
Obesity and Diabetes in an Aging Population
Rothberg, A. E., & Halter, J. B. (2014) · Clinics in Geriatric Medicine · doi:10.1016/j.cger.2014.08.016 · Cited by 12
Schonberg, M. A., Li, V. W., Eliassen, A. H., Davis, R. B., LaCroix, A. Z., McCarthy, E. P., ROSNER, B. A., Chlebowski, R. T., Hankinson, S. E., Marcantonio, E. R., et al. (2016) · Breast Cancer Research and Treatment · doi:10.1007/s10549-016-4020-8 · Cited by 12
“As life expectancy varies based on comorbidities and functional status [6], not accounting for individualized competing risks of nonbreast cancer death risk may lead to inaccurate breast cancer risk estimation among older women.”
BackgroundSelf-citationThomas, J. M., & Fried, T. R. (2018) · Journal of Pain and Symptom Management · doi:10.1016/j.jpainsymman.2018.01.017 · Cited by 12
“for prognostication, expanding on recent proposals that have focused on using prognostic estimates to prompt scaling back on interventions.(3,14,26) The examples provided by clinicians in our study also call attention to the choice clinicians sometimes face in deciding whether clinical decline or risk is reversible, a…”
BackgroundPredicting 1‐Year Mortality in Older Hospitalized Patients: External Validation of the HOMR Model
Curtin, D., Dahly, D. L., van Smeden, M., O’Donnell, D., Doyle, D., Gallagher, P., & O’Mahony, D. (2019) · Journal of the American Geriatrics Society · doi:10.1111/jgs.15958 · Cited by 14
Estimating survival time in older adults receiving chemotherapy for advanced cancer
Moth, E. B., Blinman, P. L., Stefanic, N., Naganathan, V., Grimison, P., Stockler, M. R., Beale, P. J., Martin, A. J., & Kiely, B. E. (2019) · Journal of Geriatric Oncology · doi:10.1016/j.jgo.2019.08.013 · Cited by 12
Mattace-Raso, F. U. S., & Pilotto, A. (2021) · European Geriatric Medicine · doi:10.1007/s41999-021-00457-9 · Cited by 12
“An increasing body of evidences indicates that the prognosis of older patients is strongly related to the presence of concomitant diseases and to the degree of physical, cognitive, biological, and social impairment [2].”
BackgroundAssociation Between Receipt of Cancer Screening and All-Cause Mortality in Older Adults
Schoenborn, N. L., Sheehan, O. C., Roth, D. L., Cidav, T., Huang, J., Chung, S.-E., Zhang, T., Lee, S., Xue, Q., & Boyd, C. M. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.12062 · Cited by 12
Self-citationA mortality risk prediction model for older adults with lymph node-positive colon cancer
Jorgensen, M. L., Young, J. M., Dobbins, T., & Solomon, M. J. (2015) · European Journal of Cancer Care · doi:10.1111/ecc.12288 · Cited by 12
McIsaac, D. I., Lavallée, L. T., & van Walraven, C. (2017) · Canadian Journal of Anesthesia/Journal canadien d anesthésie · doi:10.1007/s12630-017-0909-x · Cited by 11
“Expected patient survival influences many decisions in clinical medicine and can affect the utility of many diagnostic, therapeutic, and preventive interventions.(1) For people being considered for elective surgery, predicting the probability of their survival can be difficult because it can be influenced by multiple…”
BackgroundControversial issues in the management of older adults with early breast cancer
Mislang, A. R., Cheung, K., Hamaker, M. E., Kunkler, I. H., Markopoulos, C. J., Orecchia, R., Brain, E. G. C., & Biganzoli, L. (2017) · Journal of Geriatric Oncology · doi:10.1016/j.jgo.2017.05.004 · Cited by 11
“edu, which is based on a systematic review of prognostic instruments [80].”
BackgroundBrucato, A. L., Ferrari, A., Tiraboschi, M. M., Zucchi, A., Cogliati, C. B., Torzillo, D., Dentali, F., Tavecchia, L., Gessi, V., Squizzato, A., et al. (2019) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2019.10.016 · Cited by 11
“Scant evidence is available to assess the risk of shortterm mortality of non-oncologic elderly frail patients and many prognostic scores have been proposed [1,5].”
BackgroundInfluentialHOSPITAL Score and LACE Index to Predict Mortality in Multimorbid Older Patients
Aubert, C. E., Rodondi, N., Terman, S. W., Feller, M., Schneider, C., Oberle, J., Dalleur, O., Knol, W., O’Mahony, D., Aujesky, D., et al. (2022) · Drugs & Aging · doi:10.1007/s40266-022-00927-0 · Cited by 11
Noaman, S. Q., Ibrahim, J., & Grenfell, R. D. (2014) · Heart Lung and Circulation · doi:10.1016/j.hlc.2014.03.002 · Cited by 11
“The use of a prognostic index may help clinicians estimate mortality rates in the oldest old [31].”
BackgroundPollack, C. E., Blackford, A. L., Schoenborn, N. L., Boyd, C. M., Peairs, K. S., & DuGoff, E. H. (2016) · Journal of the American Geriatrics Society · doi:10.1111/jgs.14089 · Cited by 11
“To help address this concern, researchers have developed tools that can help clinicians predict life expectancy in community-dwelling older adults.(12) Although multiple prognostic tools have been validated for their accuracy in predicting mortality, the extent to which these tools identify the same individuals as hav…”
BackgroundReceipt of Cancer Screening Is a Predictor of Life Expectancy
Goodwin, J. S., Sheffield, K. M., Li, S., & Tan, A. (2016) · Journal of General Internal Medicine · doi:10.1007/s11606-016-3787-y · Cited by 11
“Finally, it is possible that life expectancy measures other than the one employed might be less likely to show selection bias by screening behavior.(31) In summary, cancer screening behavior was a strong predictor of life expectancy, independent of comorbidity and other variables included in an algorithm for estimatin…”
BackgroundA systematic review of generic and breast cancer specific life expectancy models in the elderly
Thomas, R., Pieri, A., & Cain, H. J. (2017) · European Journal of Surgical Oncology · doi:10.1016/j.ejso.2017.06.014 · Cited by 11
Cardona, M., Lewis, E., Turner, R. M., Alkhouri, H., Asha, S. E., Mackenzie, J., Perkins, M. E., Suri, S., Holdgate, A., Winoto, L., et al. (2018) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2018.02.014 · Cited by 11
Diaz‐Ramirez, L. G., Lee, S. J., Smith, A. K., Gan, S., & Boscardin, W. J. (2021) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2021.106073 · Cited by 11
Self-citationAnticoagulation at the end of life: whether, when, and how to treat
Parks, A. L. (2024) · Hematology · doi:10.1182/hematology.2024000559 · Cited by 10
Pilotto, A., Sancarlo, D., Polidori, M. C., Cruz-Jentoft, A. J., Mattace-Raso, F. U. S., Paccalin, M., Topinková, E., Welmer, A., & Maggi, S. (2015) · European Geriatric Medicine · doi:10.1016/j.eurger.2015.01.012 · Cited by 10
Sourrouille, I., Macovei, R., Faron, M., Pechoux, C. L., Mir, O., Adam, J., Dumont, S., Terrier, P., Cesne, A. L., & Honoré, C. (2018) · Annals of Surgical Oncology · doi:10.1245/s10434-018-6529-z · Cited by 10
Ó’Caoimh, R. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20043734 · Cited by 10
Ethical considerations in stroke patients
Kelly, A. G., Sahin, B., & Holloway, R. G. (2013) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000048 · Cited by 10
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
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