Why to use propensity score in observational studies? Case study based on data from the Czech clinical database AHEAD 2006-09

Simona Littnerová; Jiří Jarkovský; Jiří Pařenica; Tomáš Pavlík; Jindřich Špinar; Ladislav Dušek

doi:10.1016/j.crvasa.2013.04.001

April 16, 2013Cor et VasaOpen Access

Why to use propensity score in observational studies? Case study based on data from the Czech clinical database AHEAD 2006-09

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Why the study?

Does male gender affect mortality in patients with acute heart failure after adjusting for confounders using propensity score matching?

Structured PICO

Does male gender affect mortality in patients with acute heart failure after adjusting for confounders using propensity score matching?

P

Population

4,153 patients with acute heart failure from the AHEAD Main database (Czech Republic), consisting of 1,757 (42.3%) women and 2,396 (57.7%) men.

I

Intervention

Male gender (used as the exposure/treatment variable for the propensity score case study)

C

Comparator

Female gender

O

Outcome

5-year mortalityhard clinical

Limitations

Exclusion of unmatched patients during propensity score matching
Shift in age structure in the matched dataset, limiting generalizability to older patients
Limited complexity of the propensity score model left some variables unbalanced between groups

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Implication

Using propensity score matching to adjust for confounders revealed a statistically significant higher 5-year mortality in men compared to women with acute heart failure, a difference that was masked in the unadjusted analysis.

Abstract

RandomizovanĂŠ klinickĂŠ studie jsou povaĹžovĂĄny za zlatĂ˝ standard pro medicĂnu zaloĹženou na dĹŻkazech, avĹĄak tyto studie nemusejĂ bĂ˝t vĹždy proveditelnĂŠ nebo etickĂŠ a vÄdci musejĂ spolĂŠhat na observaÄnĂ studie nebo vĂ˝zkumnĂŠ databĂĄze. NicmĂŠnÄ zĂskĂĄnĂ spolehlivĂ˝ch vĂ˝sledkĹŻ z tÄchto studiĂ vyĹžaduje odstranÄnĂ potenciĂĄlnĂho vlivu dalĹĄĂch faktorĹŻ. NaĹĄtÄstĂ existuje nÄkolik statistickĂ˝ch metod schopnĂ˝ch identifikovat a snĂĹžit vliv dalĹĄĂch faktorĹŻ. Jednou z nich je metoda propensity skĂłre, kterĂĄ je v souÄasnĂŠ dobÄ Äasto pouĹžĂvĂĄna pro odhad relevantnĂch klinickĂ˝ch ĂşÄinkĹŻ, jeĹž jsou adjustovĂĄny pro danĂŠ zkreslenĂ. Tato prĂĄce si klade za cĂl poskytnout struÄnĂ˝ a praktickĂ˝ nĂĄvod na pouĹžitĂ propensity skĂłre prostĹednictvĂm snadno srozumitelnĂŠ pĹĂpadovĂŠ studie. PĹĂpadovĂĄ studie je zamÄĹena na genderovĂŠ rozdĂly v Ăşmrtnosti u pacientĹŻ s akutnĂm srdeÄnĂm selhĂĄnĂm v ÄeskĂŠ vĂ˝zkumnĂŠ databĂĄzi AHEAD (Acute Heart Failure Database).

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Cite This Study

Littnerová et al. (2013) studied this question.

synapsesocial.com/papers/6a709a2626a7f98052dd1457 https://doi.org/10.1016/j.crvasa.2013.04.001

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Why to use propensity score in observational studies? Case study based on data from the Czech clinical database AHEAD 2006-09

Structured PICO

Limitations

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

Why to use propensity score in observational studies? Case study based on data from the Czech clinical database AHEAD 2006-09

Structured PICO

Limitations

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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