Measuringinconsistencyinmeta-analys
JulianPTHiggins,SimonGThompson,JonathanJDeeks,DouglasGAltman
CochraneReviewshaverecentlystartedincludingthequantityI2tohelpreadersasssthe
esthisnewquantitymean,andwhyis
asssmentofheterogeneitysoimportanttoclinicalpractice?
Systematicreviewsandmeta-analyscanprovide
convincingandreliableevidencerelevanttomany
aspectsofmedicineandhealthcare.1Theirvalueis
especiallyclearwhentheresultsofthestudiesthey
includeshowclinicallyimportanteffectsofsimilar
r,theconclusionsarelessclear
attempttoestablishwhetherstudiesareconsistent,
reportsofmeta-analyscommonlyprentastatisti-
tekstodetermine
whethertherearegenuinedifferencesunderlyingthe
resultsofthestudies(heterogeneity),orwhetherthe
variationinfindingsiscompatiblewithchancealone
(homogeneity).However,thetestissusceptibletothe
developedanewquantity,I2,whichwebelievegivesa
bettermeasureoftheconsistencybetweentrialsina
meta-analysis.
Needforconsistency
Asssmentoftheconsistencyofeffectsacrossstudies
weknow
howconsistenttheresultsofstudiesare,wecannot
determinethegeneralisabilityofthefindingsofthe
,veralhierarchicalsystemsfor
gradingevidencestatethattheresultsofstudiesmust
beconsistentorhomogeneoustoobtainthehighest
grading.2–4
Testsforheterogeneityarecommonlyudto
decideonmethodsforcombiningstudiesandforcon-
cludingconsistencyorinconsistencyoffindings.56But
whatdoesthetestachieveinpractice,andhowshould
theresultingPvaluesbeinterpreted?
Testingforheterogeneity
Atestforheterogeneityexaminesthenullhypothesis
al
teststatistic(Cochran’sQ)iscomputedbysummingthe
squareddeviationsofeachstudy’stimatefromthe
overallmeta-analyticestimate,weightingeachstudy’s
contributioninthesamemannerasinthemeta-
analysis.7Pvaluesareobtainedbycomparingthe
statisticwitha
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