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Items: 1 to 50 of 173


Prediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisal.

Wynants L, Van Calster B, Bonten MMJ, Collins GS, Debray TPA, De Vos M, Haller MC, Heinze G, Moons KGM, Riley RD, Schuit E, Smits LJM, Snell KIE, Steyerberg EW, Wallisch C, van Smeden M.

BMJ. 2020 Apr 7;369:m1328. doi: 10.1136/bmj.m1328.


Temporal recalibration for improving prognostic model development and risk predictions in settings where survival is improving over time.

Booth S, Riley RD, Ensor J, Lambert PC, Rutherford MJ.

Int J Epidemiol. 2020 Apr 3. pii: dyaa030. doi: 10.1093/ije/dyaa030. [Epub ahead of print]


Calculating the sample size required for developing a clinical prediction model.

Riley RD, Ensor J, Snell KIE, Harrell FE Jr, Martin GP, Reitsma JB, Moons KGM, Collins G, van Smeden M.

BMJ. 2020 Mar 18;368:m441. doi: 10.1136/bmj.m441. No abstract available.


Predicting and preventing relapse of depression in primary care.

Moriarty AS, Castleton J, Gilbody S, McMillan D, Ali S, Riley RD, Chew-Graham CA.

Br J Gen Pract. 2020 Jan 30;70(691):54-55. doi: 10.3399/bjgp20X707753. Print 2020 Feb. No abstract available.


Accuracy of Vitalograph lung monitor as a screening test for COPD in primary care.

Dickens AP, Fitzmaurice DA, Adab P, Sitch A, Riley RD, Enocson A, Jordan RE.

NPJ Prim Care Respir Med. 2020 Jan 3;30(1):2. doi: 10.1038/s41533-019-0158-2.


Methods and reporting of systematic reviews of comparative accuracy were deficient: a methodological survey and proposed guidance.

Takwoingi Y, Partlett C, Riley RD, Hyde C, Deeks JJ.

J Clin Epidemiol. 2019 Dec 14;121:1-14. doi: 10.1016/j.jclinepi.2019.12.007. [Epub ahead of print]


Correction to: Minimum sample size for developing a multivariable prediction model: Part II-binary and time-to-event outcomes by Riley RD, Snell KI, Ensor J, et al.

Riley RD.

Stat Med. 2019 Dec 30;38(30):5672. doi: 10.1002/sim.8409. Epub 2019 Oct 29. No abstract available.


Exercise treatment effect modifiers in persistent low back pain: an individual participant data meta-analysis of 3514 participants from 27 randomised controlled trials.

Hayden JA, Wilson MN, Stewart S, Cartwright JL, Smith AO, Riley RD, van Tulder M, Bendix T, Cecchi F, Costa LOP, Dufour N, Ferreira ML, Foster NE, Gudavalli MR, Hartvigsen J, Helmhout P, Kool J, Koumantakis GA, Kovacs FM, Kuukkanen T, Long A, Macedo LG, Machado LAC, Maher CG, Mehling W, Morone G, Peterson T, Rasmussen-Barr E, Ryan CG, Sjögren T, Smeets R, Staal JB, Unsgaard-Tøndel M, Wajswelner H, Yeung EW; Chronic Low Back Pain IPD Meta-Analysis Group.

Br J Sports Med. 2019 Nov 28. pii: bjsports-2019-101205. doi: 10.1136/bjsports-2019-101205. [Epub ahead of print] Review.


Individual recovery expectations and prognosis of outcomes in non-specific low back pain: prognostic factor review.

Hayden JA, Wilson MN, Riley RD, Iles R, Pincus T, Ogilvie R.

Cochrane Database Syst Rev. 2019 Nov 25;2019(11). doi: 10.1002/14651858.CD011284.pub2. Review.


Individual participant data meta-analysis of intervention studies with time-to-event outcomes: A review of the methodology and an applied example.

de Jong VMT, Moons KGM, Riley RD, Tudur Smith C, Marson AG, Eijkemans MJC, Debray TPA.

Res Synth Methods. 2020 Mar;11(2):148-168. doi: 10.1002/jrsm.1384. Epub 2020 Feb 6. Review.


Individual participant data validation of the PICNICC prediction model for febrile neutropenia.

Phillips B, Morgan JE, Haeusler GM, Riley RD; PICNICC Collaborative.

Arch Dis Child. 2019 Nov 5. pii: archdischild-2019-317308. doi: 10.1136/archdischild-2019-317308. [Epub ahead of print]


Novel Transcatheter Mitral Valve Prosthesis for Patients With Severe Mitral Annular Calcification.

Sorajja P, Gössl M, Babaliaros V, Rizik D, Conradi L, Bae R, Burke RF, Schäfer U, Lisko JC, Riley RD, Guyton R, Dumonteil N, Berthoumieu P, Tchetche D, Blanke P, Cavalcante JL, Sun B.

J Am Coll Cardiol. 2019 Sep 17;74(11):1431-1440. doi: 10.1016/j.jacc.2019.07.069.


Predictors of the effects of treatment for shoulder pain: protocol of an individual participant data meta-analysis.

van der Windt DA, Burke DL, Babatunde O, Hattle M, McRobert C, Littlewood C, Wynne-Jones G, Chesterton L, van der Heijden GJMG, Winters JC, Rhon DI, Bennell K, Roddy E, Heneghan C, Beard D, Rees JL, Riley RD.

Diagn Progn Res. 2019 Aug 8;3:15. doi: 10.1186/s41512-019-0061-x. eCollection 2019.


Development and validation of a prediction model for fat mass in children and adolescents: meta-analysis using individual participant data.

Hudda MT, Fewtrell MS, Haroun D, Lum S, Williams JE, Wells JCK, Riley RD, Owen CG, Cook DG, Rudnicka AR, Whincup PH, Nightingale CM.

BMJ. 2019 Jul 24;366:l4293. doi: 10.1136/bmj.l4293.


Evidence synthesis in prognosis research.

Debray TPA, de Jong VMT, Moons KGM, Riley RD.

Diagn Progn Res. 2019 Jul 11;3:13. doi: 10.1186/s41512-019-0059-4. eCollection 2019.


First-trimester ultrasound measurements and maternal serum biomarkers as prognostic factors in monochorionic twins: a cohort study.

Mackie FL, Whittle R, Morris RK, Hyett J, Riley RD, Kilby MD.

Diagn Progn Res. 2019 May 9;3:9. doi: 10.1186/s41512-019-0054-9. eCollection 2019.


Empirical comparison of univariate and multivariate meta-analyses in Cochrane Pregnancy and Childbirth reviews with multiple binary outcomes.

Price MJ, Blake HA, Kenyon S, White IR, Jackson D, Kirkham JJ, Neilson JP, Deeks JJ, Riley RD.

Res Synth Methods. 2019 Sep;10(3):440-451. doi: 10.1002/jrsm.1353. Epub 2019 Aug 12.


Guide to presenting clinical prediction models for use in clinical settings.

Bonnett LJ, Snell KIE, Collins GS, Riley RD.

BMJ. 2019 Apr 17;365:l737. doi: 10.1136/bmj.l737. No abstract available.


A guide to systematic review and meta-analysis of prognostic factor studies.

Riley RD, Moons KGM, Snell KIE, Ensor J, Hooft L, Altman DG, Hayden J, Collins GS, Debray TPA.

BMJ. 2019 Jan 30;364:k4597. doi: 10.1136/bmj.k4597. No abstract available.


PROBAST: A Tool to Assess Risk of Bias and Applicability of Prediction Model Studies: Explanation and Elaboration.

Moons KGM, Wolff RF, Riley RD, Whiting PF, Westwood M, Collins GS, Reitsma JB, Kleijnen J, Mallett S.

Ann Intern Med. 2019 Jan 1;170(1):W1-W33. doi: 10.7326/M18-1377.


PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies.

Wolff RF, Moons KGM, Riley RD, Whiting PF, Westwood M, Collins GS, Reitsma JB, Kleijnen J, Mallett S; PROBAST Group†.

Ann Intern Med. 2019 Jan 1;170(1):51-58. doi: 10.7326/M18-1376.


Minimum sample size for developing a multivariable prediction model: PART II - binary and time-to-event outcomes.

Riley RD, Snell KI, Ensor J, Burke DL, Harrell FE Jr, Moons KG, Collins GS.

Stat Med. 2019 Mar 30;38(7):1276-1296. doi: 10.1002/sim.7992. Epub 2018 Oct 24. Erratum in: Stat Med. 2019 Dec 30;38(30):5672.


Minimum sample size for developing a multivariable prediction model: Part I - Continuous outcomes.

Riley RD, Snell KIE, Ensor J, Burke DL, Harrell FE Jr, Moons KGM, Collins GS.

Stat Med. 2019 Mar 30;38(7):1262-1275. doi: 10.1002/sim.7993. Epub 2018 Oct 22.


The role of secondary outcomes in multivariate meta-analysis.

Copas JB, Jackson D, White IR, Riley RD.

J R Stat Soc Ser C Appl Stat. 2018 Nov;67(5):1177-1205. doi: 10.1111/rssc.12274. Epub 2018 Mar 23.


Development and validation of prediction models to estimate risk of primary total hip and knee replacements using data from the UK: two prospective open cohorts using the UK Clinical Practice Research Datalink.

Yu D, Jordan KP, Snell KIE, Riley RD, Bedson J, Edwards JJ, Mallen CD, Tan V, Ukachukwu V, Prieto-Alhambra D, Walker C, Peat G.

Ann Rheum Dis. 2019 Jan;78(1):91-99. doi: 10.1136/annrheumdis-2018-213894. Epub 2018 Oct 18.


Factors affecting local regrowth after watch and wait for patients with a clinical complete response following chemoradiotherapy in rectal cancer (InterCoRe consortium): an individual participant data meta-analysis.

Chadi SA, Malcomson L, Ensor J, Riley RD, Vaccaro CA, Rossi GL, Daniels IR, Smart NJ, Osborne ME, Beets GL, Maas M, Bitterman DS, Du K, Gollins S, Sun Myint A, Smith FM, Saunders MP, Scott N, O'Dwyer ST, de Castro Araujo RO, Valadao M, Lopes A, Hsiao CW, Lai CL, Smith RK, Paulson EC, Appelt A, Jakobsen A, Wexner SD, Habr-Gama A, Sao Julião G, Perez R, Renehan AG.

Lancet Gastroenterol Hepatol. 2018 Dec;3(12):825-836. doi: 10.1016/S2468-1253(18)30301-7. Epub 2018 Oct 12.


Implementing systematic reviews of prognosis studies in Cochrane.

Moons KG, Hooft L, Williams K, Hayden JA, Damen JA, Riley RD.

Cochrane Database Syst Rev. 2018 Oct 11;10:ED000129. doi: 10.1002/14651858.ED000129. No abstract available.


Persistent sex disparities in clinical outcomes with percutaneous coronary intervention: Insights from 6.6 million PCI procedures in the United States.

Potts J, Sirker A, Martinez SC, Gulati M, Alasnag M, Rashid M, Kwok CS, Ensor J, Burke DL, Riley RD, Holmvang L, Mamas MA.

PLoS One. 2018 Sep 4;13(9):e0203325. doi: 10.1371/journal.pone.0203325. eCollection 2018.


Protease activity as a prognostic factor for wound healing in venous leg ulcers.

Westby MJ, Dumville JC, Stubbs N, Norman G, Wong JK, Cullum N, Riley RD.

Cochrane Database Syst Rev. 2018 Sep 1;9:CD012841. doi: 10.1002/14651858.CD012841.pub2. Review.


Individual participant data meta-analysis of continuous outcomes: A comparison of approaches for specifying and estimating one-stage models.

Legha A, Riley RD, Ensor J, Snell KIE, Morris TP, Burke DL.

Stat Med. 2018 Dec 20;37(29):4404-4420. doi: 10.1002/sim.7930. Epub 2018 Aug 13.


Temporal Changes in Co-Morbidity Burden in Patients Having Percutaneous Coronary Intervention and Impact on Prognosis.

Potts J, Kwok CS, Ensor J, Rashid M, Kadam U, Kinnaird T, Curzen N, Pancholy SB, Van der Windt D, Riley RD, Bagur R, Mamas MA.

Am J Cardiol. 2018 Sep 1;122(5):712-722. doi: 10.1016/j.amjcard.2018.05.003. Epub 2018 Jun 19.


A framework for meta-analysis of prediction model studies with binary and time-to-event outcomes.

Debray TP, Damen JA, Riley RD, Snell K, Reitsma JB, Hooft L, Collins GS, Moons KG.

Stat Methods Med Res. 2019 Sep;28(9):2768-2786. doi: 10.1177/0962280218785504. Epub 2018 Jul 23.


Measurement error and timing of predictor values for multivariable risk prediction models are poorly reported.

Whittle R, Peat G, Belcher J, Collins GS, Riley RD.

J Clin Epidemiol. 2018 Oct;102:38-49. doi: 10.1016/j.jclinepi.2018.05.008. Epub 2018 May 18. Review.


Simulation-based power calculations for planning a two-stage individual participant data meta-analysis.

Ensor J, Burke DL, Snell KIE, Hemming K, Riley RD.

BMC Med Res Methodol. 2018 May 18;18(1):41. doi: 10.1186/s12874-018-0492-z.


Study protocol: quantitative fibronectin to help decision-making in women with symptoms of preterm labour (QUIDS) part 2, UK Prospective Cohort Study.

Stock SJ, Wotherspoon LM, Boyd KA, Morris RK, Dorling J, Jackson L, Chandiramani M, David AL, Khalil A, Shennan A, Hodgetts Morton V, Lavender T, Khan K, Harper-Clarke S, Mol B, Riley RD, Norrie J, Norman J.

BMJ Open. 2018 Apr 19;8(4):e020795. doi: 10.1136/bmjopen-2017-020795.


Quantitative fibronectin to help decision-making in women with symptoms of preterm labour (QUIDS) part 1: Individual participant data meta-analysis and health economic analysis.

Stock SJ, Wotherspoon LM, Boyd KA, Morris RK, Dorling J, Jackson L, Chandiramani M, David AL, Khalil A, Shennan A, Hodgetts Morton V, Lavender T, Khan K, Harper-Clarke S, Mol BW, Riley RD, Norrie J, Norman JE.

BMJ Open. 2018 Apr 7;8(4):e020796. doi: 10.1136/bmjopen-2017-020796.


Random-effects meta-analysis of the clinical utility of tests and prediction models.

Wynants L, Riley RD, Timmerman D, Van Calster B.

Stat Med. 2018 May 30;37(12):2034-2052. doi: 10.1002/sim.7653. Epub 2018 Mar 25.


Does vitamin D supplementation improve bone density in vitamin D-deficient children? Protocol for an individual patient data meta-analysis.

Winzenberg T, Lamberg-Allardt C, El-Hajj Fuleihan G, Mølgaard C, Zhu K, Wu F, Riley RD.

BMJ Open. 2018 Jan 23;8(1):e019584. doi: 10.1136/bmjopen-2017-019584.


Subgrouping and TargetEd Exercise pRogrammes for knee and hip OsteoArthritis (STEER OA): a systematic review update and individual participant data meta-analysis protocol.

Holden MA, Burke DL, Runhaar J, van Der Windt D, Riley RD, Dziedzic K, Legha A, Evans AL, Abbott JH, Baker K, Brown J, Bennell KL, Bossen D, Brosseau L, Chaipinyo K, Christensen R, Cochrane T, de Rooij M, Doherty M, French HP, Hickson S, Hinman RS, Hopman-Rock M, Hurley MV, Ingram C, Knoop J, Krauss I, McCarthy C, Messier SP, Patrick DL, Sahin N, Talbot LA, Taylor R, Teirlinck CH, van Middelkoop M, Walker C, Foster NE; OA Trial Bank.

BMJ Open. 2017 Dec 22;7(12):e018971. doi: 10.1136/bmjopen-2017-018971.


Guidance for deriving and presenting percentage study weights in meta-analysis of test accuracy studies.

Burke DL, Ensor J, Snell KIE, van der Windt D, Riley RD.

Res Synth Methods. 2018 Jun;9(2):163-178. doi: 10.1002/jrsm.1283. Epub 2018 Jan 8.


Meta-analysis of test accuracy studies using imputation for partial reporting of multiple thresholds.

Ensor J, Deeks JJ, Martin EC, Riley RD.

Res Synth Methods. 2018 Mar;9(1):100-115. doi: 10.1002/jrsm.1276. Epub 2017 Nov 22.


Detecting small-study effects and funnel plot asymmetry in meta-analysis of survival data: A comparison of new and existing tests.

Debray TPA, Moons KGM, Riley RD.

Res Synth Methods. 2018 Mar;9(1):41-50. doi: 10.1002/jrsm.1266. Epub 2017 Nov 28.


External validation, update and development of prediction models for pre-eclampsia using an Individual Participant Data (IPD) meta-analysis: the International Prediction of Pregnancy Complication Network (IPPIC pre-eclampsia) protocol.

Allotey J, Snell KIE, Chan C, Hooper R, Dodds J, Rogozinska E, Khan KS, Poston L, Kenny L, Myers J, Thilaganathan B, Chappell L, Mol BW, Von Dadelszen P, Ahmed A, Green M, Poon L, Khalil A, Moons KGM, Riley RD, Thangaratinam S; IPPIC Collaborative Network.

Diagn Progn Res. 2017 Oct 3;1:16. doi: 10.1186/s41512-017-0016-z. eCollection 2017.


Multivariate and network meta-analysis of multiple outcomes and multiple treatments: rationale, concepts, and examples.

Riley RD, Jackson D, Salanti G, Burke DL, Price M, Kirkham J, White IR.

BMJ. 2017 Sep 13;358:j3932. doi: 10.1136/bmj.j3932. No abstract available.


A matrix-based method of moments for fitting multivariate network meta-analysis models with multiple outcomes and random inconsistency effects.

Jackson D, Bujkiewicz S, Law M, Riley RD, White IR.

Biometrics. 2018 Jun;74(2):548-556. doi: 10.1111/biom.12762. Epub 2017 Aug 14.


Effects of antenatal diet and physical activity on maternal and fetal outcomes: individual patient data meta-analysis and health economic evaluation.

Rogozińska E, Marlin N, Jackson L, Rayanagoudar G, Ruifrok AE, Dodds J, Molyneaux E, van Poppel MN, Poston L, Vinter CA, McAuliffe F, Dodd JM, Owens J, Barakat R, Perales M, Cecatti JG, Surita F, Yeo S, Bogaerts A, Devlieger R, Teede H, Harrison C, Haakstad L, Shen GX, Shub A, Beltagy NE, Motahari N, Khoury J, Tonstad S, Luoto R, Kinnunen TI, Guelfi K, Facchinetti F, Petrella E, Phelan S, Scudeller TT, Rauh K, Hauner H, Renault K, de Groot CJ, Sagedal LR, Vistad I, Stafne SN, Mørkved S, Salvesen KÅ, Jensen DM, Vitolo M, Astrup A, Geiker NR, Kerry S, Barton P, Roberts T, Riley RD, Coomarasamy A, Mol BW, Khan KS, Thangaratinam S.

Health Technol Assess. 2017 Aug;21(41):1-158. doi: 10.3310/hta21410. Review.


A random effects meta-analysis model with Box-Cox transformation.

Yamaguchi Y, Maruo K, Partlett C, Riley RD.

BMC Med Res Methodol. 2017 Jul 19;17(1):109. doi: 10.1186/s12874-017-0376-7.


Predicting risk of undiagnosed COPD: development and validation of the TargetCOPD score.

Haroon S, Adab P, Riley RD, Fitzmaurice D, Jordan RE.

Eur Respir J. 2017 Jun 22;49(6). pii: 1602191. doi: 10.1183/13993003.02191-2016. Print 2017 Jun.


Measuring the statistical validity of summary meta-analysis and meta-regression results for use in clinical practice.

Willis BH, Riley RD.

Stat Med. 2017 Sep 20;36(21):3283-3301. doi: 10.1002/sim.7372. Epub 2017 Jun 15.


Association of maternal serum PAPP-A levels, nuchal translucency and crown-rump length in first trimester with adverse pregnancy outcomes: retrospective cohort study.

Bilagi A, Burke DL, Riley RD, Mills I, Kilby MD, Katie Morris R.

Prenat Diagn. 2017 Jul;37(7):705-711. doi: 10.1002/pd.5069. Epub 2017 Jun 16.


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