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A Robustness Reproduction of "A Systematic Review and Meta-Analysis of 90 Cohort Studies of Social Isolation, Loneliness and Mortality"

Author

Listed:
  • Molo, Fabio
  • Pawel, Samuel
  • Fraga González, Gorka

Abstract

In a systematic review and meta-analysis, Wang et al. (2023) estimate the association of social isolation or loneliness with mortality outcomes. In their preferred analytical specification, the authors find an increased risk of mortality from all causes for both exposures: a pooled effect size for social isolation of 1.32; 95% confidence interval 1.26 to 1.39; P ﹤ 0.001; a pooled effect size for loneliness of 1.14; 95% CI, 1.08 to 1.20; P ﹤ 0.001. We computationally reproduce these results by extracting data from the article PDF and re-implementing the original analysis, and we compare the extracted data with data that we later received from the authors. Second, we assess the robustness of the main results against plausible alternative analytic choices in three areas: estimation of the random effects models, heterogeneity, and adjustment for publication bias. We find that the main claims of the original authors are robust, although the majority of methods to adjust for publication bias suggest somewhat smaller effects than the original estimates.

Suggested Citation

  • Molo, Fabio & Pawel, Samuel & Fraga González, Gorka, 2024. "A Robustness Reproduction of "A Systematic Review and Meta-Analysis of 90 Cohort Studies of Social Isolation, Loneliness and Mortality"," I4R Discussion Paper Series 169, The Institute for Replication (I4R).
  • Handle: RePEc:zbw:i4rdps:169
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    References listed on IDEAS

    as
    1. Sue Duval & Richard Tweedie, 2000. "Trim and Fill: A Simple Funnel-Plot–Based Method of Testing and Adjusting for Publication Bias in Meta-Analysis," Biometrics, The International Biometric Society, vol. 56(2), pages 455-463, June.
    2. Abel Brodeur & Anna Dreber & Fernando Hoces de la Guardia & Edward Miguel, 2024. "Reproduction and replication at scale," Nature Human Behaviour, Nature, vol. 8(1), pages 2-3, January.
    3. Viechtbauer, Wolfgang, 2010. "Conducting Meta-Analyses in R with the metafor Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i03).
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