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nbme23/Block 4/Question#12 (reveal difficulty score)
Investigators conduct a prospective, ...
Strength of association, temporal relationship, dose-response gradient πŸ” / πŸ“Ί / 🌳
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 +24 
submitted by βˆ—m-ice(366),
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eTh inteatp osshw no sgni of caticrol ictiyvt,a tbu ahs omes mnbrietas uocntnfi cint,at hihwc pisliem seh is in a ormf fo nssetipetr tvveaegtie t.seta eSh ahs a viinlg ilwl tath segdnaiest hicamneacl ltvietnonai dsuloh eb utnscndeodii fi thta ttniuoias airses, so ew stmu owlofl ti dan aemk otn metttap to itcutsr.eesa


 +15 
submitted by βˆ—rainlad(29),
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my popachra ot hsit suitqnoe aws to lntimaeei all the narews oihccse htta niteednom ityccefpsii or siit,nsiyevt eicns the adat ereh ddi nto prdiove inifoortamn autob yan sotr of giesencnr s.tte

tath left me htwi two sspeiolb snawer ei:oschc I lidmieenat hte noe uoatb tcisnesnocy fo horte stsduei, snice on etrho seisudt reew nmetidone in het tniueoqs .tems

otn suer if I iervdseipmfloi ghntsi, tub ti eld em ot teh higtr wsa!ren

makinallkindzofgainz  this is exactly how I reasoned through it. Were we correct in our line of thinking? We'll never knooooow +  
qball  But will you ever know on the real thing? +3  
drdoom  but will you ever know in real life? you may do the right thing (given time constraints, & information available), but outcome is bad; maybe you do the wrong thing, but the outcome is good (despite your decision). how to know the difference? +3  
veryhungrycaterpillar  Your way works too, but I did it a little differently. I eliminated everything except the ones with "temporal relationship" since you can clearly see there is a temporal relationship in the vignette as well as the data set. Then I eliminated the one with sensitivity with the same reasoning as yours. +  



 +9 
submitted by βˆ—usmle11a(94),
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sguy cthaw ihts : /.bhstwvuuy?tT/auG/somt:owunKes.=oYpchcowtw

anywya .(ps i ogt it wro)gn

A) speosoesnerd- = loialcobgi psalilytiubi. p.s swoeomh ealuq. )B C) )E vnyt;iisseit )ogrD nw my sw;aern nnotcssceiy of oreht tuseids ( it astwn pdeailp to rtohe cnmemoii)stu

usmle11a  guys watch this : https://www.youtube.com/watch?v=TnuosYuKGos anyway (p.s i got it wrong) A) dose-response = biological plausibility. p.s somehow equal. B) C) E) sensitivity; wrong D) my answer; consistency of other studies ( it wasnt applied to other communities) +4  
usmle11a  guys watch this : https://www.youtube.com/watch?v=TnuosYuKGos anyway (p.s i got it wrong) A) dose-response = biological plausibility. p.s somehow equal. B) C) E) sensitivity; wrong D) my answer; consistency of other studies ( it wasnt applied to other communities) +  
stemcellpsc  wouldn't D be also true based on this video? +  



 +1 
submitted by docred123(8),
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Cna oosemne salepe hetfrru alpeinx sthi ?sqtuieno Wtha saattoticbslii aaslisyn lhodus I be khgiintn tab?ou

vshummy  I got this wrong but best I could come up with was this was about Bradford Hill Criteria for establishing causality. And of the 9 included, F has the most that are actually included in the information given to us. I chose D but I think since we don't know about other study results, we can't include it as directly answering the question about *this* study. https://en.m.wikipedia.org/wiki/Bradford_Hill_criteria Someone double check me here: A: biologic plausibility is a weak point in the criteria, according to the wiki. Also probably not true in regards to this study. B: Sensitivity is not part of the criteria C: " " D: We don't know about consistency E: " B " +27  
mousie  Found this ... still confused about why A and D are wrong though... https://stats.stackexchange.com/questions/534/under-what-conditions-does-correlation-imply-causation +2  
2zanzibar  The three criteria for causality are: 1) empirical association (i.e. strength of association; a change in independent variable correlates or is associated with a change in dependent variable), 2) time order (i.e. temporal relationship; the independent variable must come before change in the dependent variable, or plainly stated, cause must come before effect). and 3) nonspuriousness (i.e. dose-response gradient; the relationship between 2 variables is due to a direct relationship between the two, not because of the actions of changes in a third variable... this can be evinced by a dose-dependent response). +14  



 +1 
submitted by βˆ—brise(81),
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I sheoc hntnyiga thta uwodl hpel oshw a prnhiieslato hgr:tnset tog rdi of ayignhtn ihtw yispiteicfc adn visiesyittn in it. ieLanvg nyol D and F: oeTalmpr peirotnsihla dnosus moer in inel iwht tleahnisprio nath sintnceocys fo rothe dd.uites oslA ohw woldu het nisnotsyecc of other esiudts erpov yignnhat orf teh ieaiosntrhlp tneebwe ivtnnnetroei and hicld gluaegan secro in isth dytus?




 +0 
submitted by βˆ—fexx(18),
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tfw adikn eoinustq was s?hit rwehe eht ellh ma i evne igngo to eus ethes ocstpnec ni dnc!ieme?i




 +0 
submitted by medst(1),

I do not know if that was 100% correct but I agree with eliminating answers contain sensitivity or specificity because that is not a screening test and eliminating other studies as they did not mention anything about other studies, here is what I think we here have 2 numerical values 9 interval variables ) so we will use statistical test person correlation as it needs 2 interval variable and graph done by the test will give us idea about strength of the correlation. temopral relationship ( temporality )means : tests whether the outcome occurs after the effect (e.g., surgical site infection occurs after incision of the skin) dose response relationship : tests whether greater exposure usually leads to a higher occurrence of the outcome (e.g., the greater the exposure to ionizing radiation, the higher the risk of malignancy) . and both can be applicable here . source : amboss.




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