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1“…CONCLUSIONS: We conclude that immortal time bias is a significant issue for studies of life-long conditions that use electronic health record data and requires careful consideration of how clinical diagnoses are entered onto electronic health record systems. …”
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8por Bae, Jong-Myon“…A retrospective record-linkage study (RLS) based on medical records containing drug prescription histories involves immortal time bias (ITB). …”
Publicado 2022
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11Quantifying the real life risk profile of inhaled corticosteroids in COPD by record linkage analysispor Flynn, Rob W, MacDonald, Thomas M, Hapca, Adrian, MacKenzie, Isla S, Schembri, Stuart“…We investigated this using record linkage in a Dundee COPD population. METHODS: A record linkage study linking COPD and diabetes datasets with prescription, hospitalisation and mortality data via a unique Community Health Index (CHI) number. …”
Publicado 2014
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12por Beaufils, Mathilde, Amodru, Vincent, Tejeda, Manuel, Boher, Jean Marie, Zemmour, Christophe, Chanez, Brice, Chrétien, Anne Sophie, Gorvel, Laurent, Gravis, Gwenaelle, Bruyat, Damien, Mari, Roxane, Madroszyk, Anne, Cuny, Thomas, Gonçalves, Anthony, Lisberg, Aaron E, Olive, Daniel, Tassy, Louis, Castinetti, Frederic, Rochigneux, Philippe“…CONCLUSION: Data mining identified a large number of patients with ICI-induced DT, which was associated with improved OS accounting for immortal time bias.…”
Publicado 2023
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13por Eigenmann, Daniela E, Xue, Gongda, Kim, Kwang S, Moses, Ashlee V, Hamburger, Matthias, Oufir, Mouhssin“…Co-culture systems using immortalized human astrocytes (SVG-A cell line) and immortalized human pericytes (HBPCT cell line) were designed with the aim of positively influencing barrier tightness. …”
Publicado 2013
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14por Lalmohamed, Arief, van Staa, Tjeerd P., Vestergaard, Peter, Leufkens, Hubertus G. M., de Boer, Anthonius, Emans, Pieter, Cooper, Cyrus, de Vries, FrankEnlace del recurso
Publicado 2016
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16por Scola, Giulio, Chis Ster, Anca, Bean, Daniel, Pareek, Nilesh, Emsley, Richard, Landau, Sabine“…Of those 38 studies, most focused on cardiology, infectious diseases or oncology and the majority used electronic health records/electronic medical records data and cohort studies data. …”
Publicado 2023
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17por McGough, Sarah F., Incerti, Devin, Lyalina, Svetlana, Copping, Ryan, Narasimhan, Balasubramanian, Tibshirani, Robert“…In some cases survival data are also left‐truncated which can give rise to an immortal time bias, but penalized survival methods that adjust for left truncation are not commonly implemented. …”
Publicado 2021
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18“…The first step of the model comprises the gene changes that occur in normal cells to be transformed into immortal cells (CIN 1), the second comprises immortal cell changes to tumorigenic cells (CIN 2), the third step includes cell changes to increase tumorigenic capacity (CIN 3), and the final step covers tumorigenic changes to carcinogenic cells. …”
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19“…Hence, the HeLa cell line is maintained by the limited number of immortal cells, which could be putative cancer stem cells.…”
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20“…Propensity score matching at the time of CDI or recurrent CDI (rCDI) onset was applied to adjust baseline confounding and immortal time bias. The analysis included 5 994 054 hospitalisation records during 2008–2017, of which 11 823 were identified as CDI and 1359 as rCDI. …”
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