Se nsitivity Analysis in the Conte xt of Ne twor k Me ta - - - PowerPoint PPT Presentation

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Se nsitivity Analysis in the Conte xt of Ne twor k Me ta - - - PowerPoint PPT Presentation

Se nsitivity Analysis in the Conte xt of Ne twor k Me ta - Analysis: De monstr ation for Ac ade myHe alth Annual Re se ar c h Me e ting June 27, 2017 Sa ndra Ze lma n L e wis, PhD Cra ig Whitting to n, PhD T o dd F e inma n, MD


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SLIDE 1

Se nsitivity Analysis in the Conte xt of Ne twor k Me ta - Analysis: De monstr ation for Ac ade myHe alth Annual Re se ar c h Me e ting

June 27, 2017

Sa ndra Ze lma n L e wis, PhD Cra ig Whitting to n, PhD T

  • dd F

e inma n, MD

Roshan Shah, MS

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SLIDE 2

Sta te of the a rt dig ita l te c hnolog ie s c a n be le ve ra g e d to

  • Pe rfo rm se nsitivity a na lyse s in the c o nte xt o f ne two rk

me ta -a na lysis

  • I

mple me nt se ve ra l me tho ds o f se nsitivity a na lyse s

  • T
  • c ritic a lly a sse ss the a dva nta g e s o f using e ffic ie nt

se nsitivity a na lyse s to g e ne ra te info rma tive re sults

L e ar ning Obje c tive s

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SLIDE 3

Analytic al me thod to e xamine both dir e c t and indir e c t e vide nc e Inc r e ase s c omple xity of managing data c onfigur ation and pe r for ming se nsitivity analysis Ne twor k Me ta- Analysis (NMA)

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SLIDE 4

Re se ar c h Obje c tive : F ind, synthe size , and analyze data fr

  • m

public sour c e s into fit- to- pur pose ac tionable knowle dge

Se a rc h

Se a r c he d, sc r e e ne d a nd inde xing of a ll r e le va nt a r tic le s in the the r a pe utic a r e a

T e c hno lo g y a ssiste d pro c e ss se a rc h a nd sc re e n a rtic le s a ssig ning the m pe r inc lusio n/ e xc lusio n c rite rio n with PRISMA d ia g ra ms d yna mic a lly g e ne ra te d a nd c o ntinuo us mo nito ring

Mine

Ne a r a utoma te d digitization of lists a nd fr e que nc y tr e e s of a ll te r ms (inc luding AE s) in e a c h a bstr a c t a nd full-te xt a r tic le s with hig hly va lida te d transparent & a c c ur a c y

T e c hno lo g y a ssiste d e vid e nc e a na lysts b uild fre q ue nc y tre e s o f te rms, Ad ve rse E ve nts a nd pa tie nt c ha ra c te ristic s, o utc o me s a nd e nd po ints in e a c h a rtic le

De live r

Re que ste d da ta tha t is ne e de d for a ny submission is a va ila ble on de ma nd a nd de live r e d in DRE pla tfor m a va ila ble for a na lysis, ta ble s, a nd othe r E BM outputs & fing e r tip a na lysis

Any a na lysis c a pa b le o f b e ing run in a n R mo d ule a re d ire c tly ha rd c o d e d into the e vid e nc e d a ta b a se with a ll the sta tistic a l c o nso le s g e ne ra te d a nd a uto sa ve d

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SLIDE 5

Da ta Co nfig ura tio n Pro to c o l

  • Study L

e ve l Va ria b le s

  • I

nte rve ntio n va ria b le s

  • Pa tie nt c ha ra c te ristic s a nd o utc o me s

Da ta E xtra c tio n

  • Da ta a nd me ta -da ta fro m te xt, ta b le s, fig ure s, c ha rts
  • Qua lity c o ntro l

Onto lo g y Ma na g e me nt

  • Pre se rva tio n o f e xa c t te rm
  • Co nsiste nt na ming c o nve ntio ns
  • Co de ma pping to he a lth la ng ua g e dic tio na rie s

Data Configur ation Pr

  • c e ss
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SLIDE 6

Why r un se nsitivity analyse s?

  • E

xplo ra tio n

  • E

xa mina tio n o f ro b ustne ss a nd re le va nc e o f re sults

  • Che c king a ssumptio ns

 Mo r

e info r me d de c isio n-making

Se nsitivity Analysis

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SLIDE 7

De mo nstra tio n

Conduct a Network Meta-Analysis

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SLIDE 8

F ac tor s to e xplor e whe n c r e ating se nsitivity analyse s

  • Study de sig n
  • Po pula tio n (I

/ E c rite ria , b a se line c ha ra c te ristic s)

  • Study b ia s
  • F
  • llo w-up time
  • He te ro g e ne ity / o utlie rs
  • Da te o f pub lic a tio n
  • L

e ve ra g e sa ve d wo rkflo ws to q uic kly upda te a na lyse s

  • Wha t-if a na lysis

Se nsitivity Analysis

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SLIDE 9

E mploying today’s te c hnologie s, the multivar iate c omple xitie s of HSR c an r e adily be ne fit fr

  • m se nsitivity analyse s e asily pe r

for me d in the c onte xt of NMAs Inc r e ase d tr anspar e nc y allows inde pe nde nt audits and/ or ve r ific ation of binding and inc lusion c r ite r ia, the r e for e inc r e asing c onfide nc e in r e sults and suppor ting r e plic ations

  • f the se analyse s, a sc ie ntific te ne t ofte n impossible be c ause tr

aditional pr

  • c e sse s and

public ation r e sour c e s do not doc ume nt de tails (e .g., te r m manage me nt). F ur the r , lac k

  • f te c hnology inhibits r

e plic ation due to the high labor and time r e quir e me nts. Captur ing all te r ms (i.e . patie nt c har ac te r istic s and outc ome s) in publishe d studie s e nable s the c r e ation of a we b- base d dic tionar y of te r ms - - an e sse ntial tool for HSR topic s that do not have e xisting ontologie s.

Implic ations for HSR

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SLIDE 10

Sandr a L e wis, PhD: sle wis@doc tor e vide nc e .c om Roshan Shah, MS: r shah@doc tor e vide nc e .c om T hank you!