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  • Brunström, MattiasUmeå universitet,Avdelningen för medicin (author)

Standardization according to blood pressure lowering in meta-analyses of antihypertensive trials : comparison of three methodological approaches

  • Article/chapterEnglish2018

Publisher, publication year, extent ...

  • Lippincott Williams & Wilkins,2018
  • printrdacarrier

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  • LIBRIS-ID:oai:DiVA.org:umu-143060
  • https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-143060URI
  • https://doi.org/10.1097/HJH.0000000000001574DOI

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  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:for swepub-publicationtype

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  • OBJECTIVE: Assess how standardization of relative risks (RRs) and standard errors (SEs), according to blood pressure differences within trials, affects heterogeneity, overall effect estimates and study weights in meta-analyses of antihypertensive treatment.METHOD: Data from a previous systematic review were used. Three sets of analyses were performed, using both random-effects and fixed-effects model for meta-analyses. First, we used raw data from the included trials. Second, we standardized RRs as if SBP was reduced by 10 mmHg in all trials. Third, we standardized both RRs and SEs.RESULTS: When RRs were standardized according to blood pressure lowering, heterogeneity between trials increased (I = 36 vs. 93% for mortality). This conferred large differences in treatment effect estimates using random-effects and fixed-effects model (RR 0.79, 95% confidence interval 0.70-0.89, respectively, 0.97, 0.94-0.99). When SEs were standardized, confidence intervals for individual trials widened, resulting in lower power to detect heterogeneity across trials. Study weights were dissociated from number of events in trials (P < 0.0001, R = 0.99 before standardization vs. P = 0.063, R = 0.05 after standardization). This induced a secondary shift in weight from trials with lower baseline SBP to trials with higher baseline SBP, resulting in exaggerated overall effect estimates.CONCLUSION: Standardization of RRs exaggerates differences between trials and makes meta-analyses highly sensitive to choice of statistical method. Standardization of SEs masks heterogeneity and results in biased effect estimates.

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  • Carlberg, BoUmeå universitet,Avdelningen för medicin(Swepub:umu)boca0001 (author)
  • Umeå universitetAvdelningen för medicin (creator_code:org_t)

Related titles

  • In:Journal of Hypertension: Lippincott Williams & Wilkins36:1, s. 4-150263-63521473-5598

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