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Results: 1 to 20 of 93

Cited In for PubMed (Select 19237405)

1.

New breast cancer prognostic factors identified by computer-aided image analysis of HE stained histopathology images.

Chen JM, Qu AP, Wang LW, Yuan JP, Yang F, Xiang QM, Maskey N, Yang GF, Liu J, Li Y.

Sci Rep. 2015 May 29;5:10690. doi: 10.1038/srep10690.

2.

Multinational development and validation of an early prediction model for delirium in ICU patients.

Wassenaar A, van den Boogaard M, van Achterberg T, Slooter AJ, Kuiper MA, Hoogendoorn ME, Simons KS, Maseda E, Pinto N, Jones C, Luetz A, Schandl A, Verbrugghe W, Aitken LM, van Haren FM, Donders AR, Schoonhoven L, Pickkers P.

Intensive Care Med. 2015 Jun;41(6):1048-56. doi: 10.1007/s00134-015-3777-2. Epub 2015 Apr 18.

3.

Outcome prediction in chronic unilateral lumbar radiculopathy: prospective cohort study.

Iversen T, Solberg TK, Wilsgaard T, Waterloo K, Brox JI, Ingebrigtsen T.

BMC Musculoskelet Disord. 2015 Feb 7;16:17. doi: 10.1186/s12891-015-0474-9.

4.
5.

Cardiovascular disease prediction: do pulmonary disease-related chest CT features have added value?

Jairam PM, de Jong PA, Mali WP, Isgum I, van der Graaf Y; PROVIDI study-group.

Eur Radiol. 2015 Jun;25(6):1646-54. doi: 10.1007/s00330-014-3495-0. Epub 2015 Mar 14.

6.

Prediction models in in vitro fertilization; where are we? A mini review.

van Loendersloot L, Repping S, Bossuyt PM, van der Veen F, van Wely M.

J Adv Res. 2014 May;5(3):295-301. doi: 10.1016/j.jare.2013.05.002. Epub 2013 May 9. Review.

7.

Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement.

Collins GS, Reitsma JB, Altman DG, Moons KG.

BMC Med. 2015 Jan 6;13:1. doi: 10.1186/s12916-014-0241-z.

8.

Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement.

Collins GS, Reitsma JB, Altman DG, Moons KG.

Br J Cancer. 2015 Jan 20;112(2):251-9. doi: 10.1038/bjc.2014.639. Epub 2015 Jan 6.

9.

Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. The TRIPOD Group.

Collins GS, Reitsma JB, Altman DG, Moons KG; TRIPOD Group.

Circulation. 2015 Jan 13;131(2):211-9. doi: 10.1161/CIRCULATIONAHA.114.014508. Epub 2015 Jan 5.

10.

Measuring the impact of methodological research: a framework and methods to identify evidence of impact.

Brueton VC, Vale CL, Choodari-Oskooei B, Jinks R, Tierney JF.

Trials. 2014 Nov 27;15:464. doi: 10.1186/1745-6215-15-464.

11.

Improving the quality of liver resection: a systematic review and critical analysis of the available prognostic models.

Lim C, Dejong CH, Farges O; e-HPBchir Study Group from the Association de Chirurgie Hépato-Biliaire et de Transplantation (ACHBT) (Association of Hepatobilary and Transplant Surgery).

HPB (Oxford). 2015 Mar;17(3):209-21. doi: 10.1111/hpb.12346. Epub 2014 Oct 17.

PMID:
25322917
12.

Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist.

Moons KG, de Groot JA, Bouwmeester W, Vergouwe Y, Mallett S, Altman DG, Reitsma JB, Collins GS.

PLoS Med. 2014 Oct 14;11(10):e1001744. doi: 10.1371/journal.pmed.1001744. eCollection 2014 Oct.

13.

Prediction of gastric cancer development by serum pepsinogen test and Helicobacter pylori seropositivity in Eastern Asians: a systematic review and meta-analysis.

Terasawa T, Nishida H, Kato K, Miyashiro I, Yoshikawa T, Takaku R, Hamashima C.

PLoS One. 2014 Oct 14;9(10):e109783. doi: 10.1371/journal.pone.0109783. eCollection 2014. Review.

14.

Features of successful bids for funding of applied health research: a cohort study.

Turner S, Davidson P, Stanton L, Cawdeary V.

Health Res Policy Syst. 2014 Sep 22;12:54. doi: 10.1186/1478-4505-12-54.

15.

Predicting the onset of anxiety syndromes at 12 months in primary care attendees. The predictA-Spain study.

Moreno-Peral P, Luna Jde D, Marston L, King M, Nazareth I, Motrico E, GildeGómez-Barragán MJ, Torres-González F, Montón-Franco C, Sánchez-Celaya M, Díaz-Barreiros MÁ, Vicens C, Muñoz-Bravo C, Bellón JÁ.

PLoS One. 2014 Sep 3;9(9):e106370. doi: 10.1371/journal.pone.0106370. eCollection 2014.

16.

The diagnostic value of the combination of patient characteristics, history, and clinical shoulder tests for the diagnosis of rotator cuff tear.

van Kampen DA, van den Berg T, van der Woude HJ, Castelein RM, Scholtes VA, Terwee CB, Willems WJ.

J Orthop Surg Res. 2014 Aug 7;9:70. doi: 10.1186/s13018-014-0070-y.

17.

Risk factors for adverse prognosis and death in American visceral leishmaniasis: a meta-analysis.

Belo VS, Struchiner CJ, Barbosa DS, Nascimento BW, Horta MA, da Silva ES, Werneck GL.

PLoS Negl Trop Dis. 2014 Jul 24;8(7):e2982. doi: 10.1371/journal.pntd.0002982. eCollection 2014 Jul.

18.

An assessment of the relationship between clinical utility and predictive ability measures and the impact of mean risk in the population.

McGeechan K, Macaskill P, Irwig L, Bossuyt PM.

BMC Med Res Methodol. 2014 Jul 3;14:86. doi: 10.1186/1471-2288-14-86.

19.

The cerebrospinal fluid HIV risk score for assessing central nervous system activity in persons with HIV.

Hammond ER, Crum RM, Treisman GJ, Mehta SH, Marra CM, Clifford DB, Morgello S, Simpson DM, Gelman BB, Ellis RJ, Grant I, Letendre SL, McArthur JC; CHARTER Group.

Am J Epidemiol. 2014 Aug 1;180(3):297-307. doi: 10.1093/aje/kwu098. Epub 2014 Jun 24.

PMID:
24966216
20.

Towards better clinical prediction models: seven steps for development and an ABCD for validation.

Steyerberg EW, Vergouwe Y.

Eur Heart J. 2014 Aug 1;35(29):1925-31. doi: 10.1093/eurheartj/ehu207. Epub 2014 Jun 4.

PMID:
24898551
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