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Items: 1 to 20 of 187

1.

Applying Risk Prediction Models to Optimize Lung Cancer Screening: Current Knowledge, Challenges, and Future Directions.

Sakoda LC, Henderson LM, Caverly TJ, Wernli KJ, Katki HA.

Curr Epidemiol Rep. 2017 Dec;4(4):307-320. doi: 10.1007/s40471-017-0126-8. Epub 2017 Oct 24.

PMID:
29531893
2.

Prognostic models for complete recovery in ischemic stroke: a systematic review and meta-analysis.

Jampathong N, Laopaiboon M, Rattanakanokchai S, Pattanittum P.

BMC Neurol. 2018 Mar 9;18(1):26. doi: 10.1186/s12883-018-1032-5.

3.

Survival prediction in mesothelioma using a scalable Lasso regression model: instructions for use and initial performance using clinical predictors.

Kidd AC, McGettrick M, Tsim S, Halligan DL, Bylesjo M, Blyth KG.

BMJ Open Respir Res. 2018 Jan 30;5(1):e000240. doi: 10.1136/bmjresp-2017-000240. eCollection 2018.

4.

Validation of prediction models: examining temporal and geographic stability of baseline risk and estimated covariate effects.

Austin PC, van Klaveren D, Vergouwe Y, Nieboer D, Lee DS, Steyerberg EW.

Diagn Progn Res. 2017;1:12. doi: 10.1186/s41512-017-0012-3. Epub 2017 Apr 13.

5.

Multiple Score Comparison: a network meta-analysis approach to comparison and external validation of prognostic scores.

Haile SR, Guerra B, Soriano JB, Puhan MA; 3CIA collaboration.

BMC Med Res Methodol. 2017 Dec 21;17(1):172. doi: 10.1186/s12874-017-0433-2. Erratum in: BMC Med Res Methodol. 2018 Feb 12;18(1):21.

6.
7.

Early warning scores for detecting deterioration in adult hospital patients: a systematic review protocol.

Gerry S, Birks J, Bonnici T, Watkinson PJ, Kirtley S, Collins GS.

BMJ Open. 2017 Dec 3;7(12):e019268. doi: 10.1136/bmjopen-2017-019268.

8.

External validation of a collar-mounted triaxial accelerometer for second-by-second monitoring of eight behavioural states in dogs.

den Uijl I, Gómez Álvarez CB, Bartram D, Dror Y, Holland R, Cook A.

PLoS One. 2017 Nov 29;12(11):e0188481. doi: 10.1371/journal.pone.0188481. eCollection 2017.

9.

Can Biomarkers Advance HIV Research and Care in the Antiretroviral Therapy Era?

Justice AC, Erlandson KM, Hunt PW, Landay A, Miotti P, Tracy RP.

J Infect Dis. 2018 Jan 30;217(4):521-528. doi: 10.1093/infdis/jix586.

PMID:
29165684
10.

Fractal and Gray Level Cooccurrence Matrix Computational Analysis of Primary Osteosarcoma Magnetic Resonance Images Predicts the Chemotherapy Response.

Djuričić GJ, Radulovic M, Sopta JP, Nikitović M, Milošević NT.

Front Oncol. 2017 Oct 19;7:246. doi: 10.3389/fonc.2017.00246. eCollection 2017.

11.

External Validation Study of First Trimester Obstetric Prediction Models (Expect Study I): Research Protocol and Population Characteristics.

Meertens LJE, Scheepers HC, De Vries RG, Dirksen CD, Korstjens I, Mulder AL, Nieuwenhuijze MJ, Nijhuis JG, Spaanderman ME, Smits LJ.

JMIR Res Protoc. 2017 Oct 26;6(10):e203. doi: 10.2196/resprot.7837.

12.

Blood Metal Ion Thresholds to Identify Patients with Metal-on-Metal Hip Implants at Risk of Adverse Reactions to Metal Debris: An External Multicenter Validation Study of Birmingham Hip Resurfacing and Corail-Pinnacle Implants.

Matharu GS, Berryman F, Judge A, Reito A, McConnell J, Lainiala O, Young S, Eskelinen A, Pandit HG, Murray DW.

J Bone Joint Surg Am. 2017 Sep 20;99(18):1532-1539. doi: 10.2106/JBJS.16.01568.

13.

Cytokine-based Predictive Models to Estimate the Probability of Chronic Periodontitis: Development of Diagnostic Nomograms.

Tomás I, Arias-Bujanda N, Alonso-Sampedro M, Casares-de-Cal MA, Sánchez-Sellero C, Suárez-Quintanilla D, Balsa-Castro C.

Sci Rep. 2017 Sep 14;7(1):11580. doi: 10.1038/s41598-017-06674-2.

14.

Development and Validation of a Tool to Identify Patients With Type 2 Diabetes at High Risk of Hypoglycemia-Related Emergency Department or Hospital Use.

Karter AJ, Warton EM, Lipska KJ, Ralston JD, Moffet HH, Jackson GG, Huang ES, Miller DR.

JAMA Intern Med. 2017 Oct 1;177(10):1461-1470. doi: 10.1001/jamainternmed.2017.3844.

PMID:
28828479
15.

Evaluation of novel computerized tomography scoring systems in human traumatic brain injury: An observational, multicenter study.

Thelin EP, Nelson DW, Vehviläinen J, Nyström H, Kivisaari R, Siironen J, Svensson M, Skrifvars MB, Bellander BM, Raj R.

PLoS Med. 2017 Aug 3;14(8):e1002368. doi: 10.1371/journal.pmed.1002368. eCollection 2017 Aug.

16.

Accounting for treatment use when validating a prognostic model: a simulation study.

Pajouheshnia R, Peelen LM, Moons KGM, Reitsma JB, Groenwold RHH.

BMC Med Res Methodol. 2017 Jul 14;17(1):103. doi: 10.1186/s12874-017-0375-8.

17.

High-Cost Dual Eligibles' Service Use Demonstrates The Need For Supportive And Palliative Models Of Care.

Bynum JPW, Austin A, Carmichael D, Meara E.

Health Aff (Millwood). 2017 Jul 1;36(7):1309-1317. doi: 10.1377/hlthaff.2017.0157.

18.

Is it possible to claim or refute sputum eosinophils ≥ 3% in asthmatics with sufficient accuracy using biomarkers?

Demarche SF, Schleich FN, Paulus VA, Henket MA, Van Hees TJ, Louis RE.

Respir Res. 2017 Jul 3;18(1):133. doi: 10.1186/s12931-017-0615-9.

19.

Prognostic models for locally advanced cervical cancer: external validation of the published models.

Lora D, Gómez de la Cámara A, Fernández SP, Enríquez de Salamanca R, Gómez JFPR.

J Gynecol Oncol. 2017 Sep;28(5):e58. doi: 10.3802/jgo.2017.28.e58. Epub 2017 May 26.

20.

Comparison of six outcome prediction models in an adult burn population in a developing country.

Salehi SH, As'adi K, Abbaszadeh-Kasbi A, Isfeedvajani MS, Khodaei N.

Ann Burns Fire Disasters. 2017 Mar 31;30(1):13-17.

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