RESP

Moving beyond AUC: decision curve analysis for quantifying net benefit of risk prediction models

Eur Respir J. 2021 Sep 9:2101186. doi: 10.1183/13993003.01186-2021

Validation and Utility Testing of Clinical Prediction Models: Time to Change the Approach

JAMA. 2020 Jul 21;324(3):235-236

Testing Clinical Prediction Models—Reply

We agree with Drs Goldstein and Pencina about the necessity of adapting risk models to the clinical use case. We share their vision that a cloud-based platform does not have to be centralized; each practitioner will set up their own environment for the mod...

We agree with Drs Goldstein and Pencina about the necessity of adapting risk models to the clinical use case. We share their vis...

Model-Based ROC Curve: Examining the Effect of Case Mix and Model Calibration on the ROC Plot

Medical Decision Making. October 2021. doi:10.1177/0272989X211050909

Marginal versus conditional odds ratios when updating risk prediction models

Epidemiology. 2022 Jul 1;33(4):555-558. doi: 10.1097/EDE.0000000000001489.

Uncertainty and the value of information in risk prediction modeling

Sadatsafavi M, Yoon Lee T, Gustafson P. Uncertainty and the Value of Information in Risk Prediction Modeling. Med Decis Making. 2022 Jul;42(5):661-671. doi: 10.1177/0272989X221078789.

Sadatsafavi M, Yoon Lee T, Gustafson P. Uncertainty and the Value of Information in Risk Prediction Modeling. Med Decis Making....

Value-of-Information Analysis for External Validation of Risk Prediction Models

Med Decis Making. 2023 Jul;43(5):564-575. doi: 10.1177/0272989X231178317.

International variation in severe exacerbation rates in patients with severe asthma

Lee TY, Price D, Yadav CP, Roy R, Mien LLH, Wang E, Wechsler ME, Jackson DJ, Busby J, Heaney LG, Pfeffer PE, Mahboub B, Perng Steve DW, Cosio BG, Perez-de-Llano L, Al-Lehebi R, Larenas-Linnemann D, Al-Ahmad M, Rhee CK, Iwanaga T, Heffler E, Canonica GW, Co...

Lee TY, Price D, Yadav CP, Roy R, Mien LLH, Wang E, Wechsler ME, Jackson DJ, Busby J, Heaney LG, Pfeffer PE, Mahboub B, Perng St...

QRISK3 underestimates the risk of cardiovascular events in patients with COPD

Amegadzie JE, Gao Z, Quint JK, Russell R, Hurst JR, Lee TY, Sin DD, Chen W, Bafadhel M, Sadatsafavi M. QRISK3 underestimates the risk of cardiovascular events in patients with COPD. Thorax. 2023 Nov 27:thorax-2023-220615. doi: 10.1136/thorax-2023-220615. E...

Amegadzie JE, Gao Z, Quint JK, Russell R, Hurst JR, Lee TY, Sin DD, Chen W, Bafadhel M, Sadatsafavi M. QRISK3 underestimates the...

IMplementing Predictive Analytics towards efficient COPD Treatments (IMPACT): protocol for a stepped-wedge cluster randomized impact study.

Michaux KD, Metcalfe RK, Burns P, Conklin AI, Hoens AM, Smith D, Struik L, Safari A, Sin DD, Sadatsafavi M; IMPACT Study Group. IMplementing Predictive Analytics towards efficient COPD Treatments (IMPACT): protocol for a stepped-wedge cluster randomized im...

Michaux KD, Metcalfe RK, Burns P, Conklin AI, Hoens AM, Smith D, Struik L, Safari A, Sin DD, Sadatsafavi M; IMPACT Study Group....

Validation of the 4C prediction models to inform care for patients with COVID-19: final steps towards clinical application

Puhan MA, Sadatsafavi M. Validation of the 4C prediction models to inform care for patients with COVID-19: final steps towards clinical application. Thorax. 2022 Jun;77(6):536. doi: 10.1136/thoraxjnl-2021-218313.

Puhan MA, Sadatsafavi M. Validation of the 4C prediction models to inform care for patients with COVID-19: final steps towards c...

The hidden and unchecked judgement calls when using exacerbation history for managing COPD

Sadatsafavi M, Aaron SD, Gershon AS, Puhan M, Adibi A, Sin DD. The Hidden and Unchecked Judgement Calls When Using Exacerbation History for Managing COPD. Arch Bronconeumol. 2022 Sep;58(9):629-631. English, Spanish. doi: 10.1016/j.arbres.2021.09.018.

Sadatsafavi M, Aaron SD, Gershon AS, Puhan M, Adibi A, Sin DD. The Hidden and Unchecked Judgement Calls When Using Exacerbation...

External validation of lung function predictions in real-world cohorts of COPD

Zafari Z, Lee TY, Sadatsafavi M. External validation of lung function predictions in real-world cohorts of COPD. Respir Med. 2022 Jul;198:106859. doi: 10.1016/j.rmed.2022.106859.

Zafari Z, Lee TY, Sadatsafavi M. External validation of lung function predictions in real-world cohorts of COPD. Respir Med. 202...

The burden of mild asthma: Clinical burden and healthcare resource utilisation in the NOVELTY study

Golam SM, Janson C, Beasley R, FitzGerald JM, Harrison T, Chipps B, Hughes R, Müllerová H, Olaguibel JM, Rapsomaniki E, Reddel HK, Sadatsafavi M; NOVELTY study investigators. The burden of mild asthma: Clinical burden and healthcare resource utilisation in...

Golam SM, Janson C, Beasley R, FitzGerald JM, Harrison T, Chipps B, Hughes R, Müllerová H, Olaguibel JM, Rapsomaniki E, Reddel H...

ACCEPT 2·0: Recalibrating and externally validating the Acute COPD exacerbation prediction tool (ACCEPT)

Safari A, Adibi A, Sin DD, Lee TY, Ho JK, Sadatsafavi M. ACCEPT 2·0: Recalibrating and externally validating the Acute COPD exacerbation prediction tool (ACCEPT). EClinicalMedicine. 2022 Jul 22;51:101574. doi: 10.1016/j.eclinm.2022.101574.

Safari A, Adibi A, Sin DD, Lee TY, Ho JK, Sadatsafavi M. ACCEPT 2·0: Recalibrating and externally validating the Acute COPD exac...

Generalizability of risk stratification algorithms for exacerbations in COPD

Ho JK, Safari A, Adibi A, Sin DD, Johnson K, Sadatsafavi M; IMPACT study. Generalizability of risk stratification algorithms for exacerbations in COPD. Chest. 2022 Dec 9:S0012-3692(22)04216-7. doi: 10.1016/j.chest.2022.11.041.

Ho JK, Safari A, Adibi A, Sin DD, Johnson K, Sadatsafavi M; IMPACT study. Generalizability of risk stratification algorithms for...

Moving beyond AUC: decision curve analysis for quantifying net benefit of risk prediction models

Eur Respir J. 2021 Sep 9:2101186. doi: 10.1183/13993003.01186-2021

Should the number of acute exacerbations in the previous year be used to guide treatments in COPD?

Eur Respir J. 2020 Aug 27;2002122. doi: 10.1183/13993003.02122-2020.

The Acute COPD Exacerbation Prediction Tool (ACCEPT): a modelling study

This Lancet Respiratory Medicine describes a new prediction model to predict COPD exacerbations using simple clinical predictors

A Threshold-Free Summary Index for Quantifying the Capacity of Covariates to Yield Efficient Treatment Rules

Statistic in Medicine. 2020;10.1002/sim.8481

The association between rate and severity of exacerbations in chronic obstructive pulmonary disease: an application of a joint frailty-logistic model

Am J Epidemiol. 2016;184(9):681–689

Individualized prediction of lung-function decline in chronic obstructive pulmonary disease

CMAJ. 2016;188(14):1004–1011

The diagnostic performance of patient symptoms in screening for COPD

Respir Res. 2018 Feb 7;19(1):26

Relative Impact Characteristic (RIC) curve: a graphical tool to visualize and quantify the clinical utility and population-level consequences of implementing markers

Ann Epidemiol. 2018 Oct;28(10):717-723.e3

Predicting severe COPD exacerbations: A population surveillance approach with administrative data

Under review

An individualized prediction model for long-term lung function trajectory and risk of COPD in the general population

Chest. 2019 Sep 19. pii: S0012-3692(19)33868-1

Faculty of Pharmaceutical Sciences & UBC Division of Respiratory Medicine Respiratory Evaluation Sciences Program

Faculty of Pharmaceutical Sciences & UBC Division of Respiratory Medicine
Respiratory Evaluation Sciences Program